CN105989345A - Method and device for discovering friends by image matching - Google Patents

Abstract

Embodiments of the present invention provide a method and device for finding friends by image matching. The client receives the matching type of the image to be matched input by the user and uses a matching algorithm corresponding to the matching type of the image to be matched to obtain the matching parameters of the image to be matched. Then, the matching parameter, matching type and matching algorithm identification of the image to be matched are sent to the server, and the server matches the image in the image library according to the matching parameter, matching type and matching algorithm identification of the image to be matched, and finds the The image is matched with the target image, and the matching result is returned to the client. The matching result includes the information of the user to which the matched target image belongs, and the user to which the target image belongs is a friend. The above-mentioned method finds friends by using the user's existing image resources to perform image matching, which is convenient for the user to find friends.

Description

Method and device for finding friends by image matching

technical field

The embodiments of the present invention relate to communication technologies, and in particular to a method and device for finding friends by image matching.

Background technique

With the development of mobile terminals, social networking is developing rapidly and its importance is increasing. How to establish social relationships for users through reasonable guidance has become the focus of major manufacturers. Well-known applications in the industry will find that friends are alone as a part of the product. At the main entrance, there are endless ways to find friends.

In the prior art, one method is to recommend potential friends to the user according to various information such as account number, nickname, phone number, work unit, hobbies, and recent activities filled in by the user. After discovering the potential friends of the user, the client presents the account numbers and nicknames of the friends on the user interface, and the user searches through the account numbers and nicknames, and then adds friends. Another way is to scan the QR code generated by a friend to quickly obtain the friend's information and apply to be added as a friend.

The method in the prior art is single and has poor flexibility. In the second method, the user must obtain the QR code of the friend to add as a friend, which has poor flexibility and is not convenient for the user to send a friend.

Contents of the invention

Embodiments of the present invention provide a method and device for finding friends by image matching, which can find friends flexibly and conveniently.

The first aspect of the present invention provides a method for finding friends by image matching, including:

The client receives the image to be matched and the matching type of the image to be matched input by the user;

The client adopts a matching algorithm corresponding to the matching type of the image to be matched to obtain the matching parameters of the image to be matched;

The client sends the matching parameters of the image to be matched, the matching type of the image to be matched, and the identification of the matching algorithm to the server, so that the server can use the matching parameters of the image to be matched, the The matching type of the image to be matched and the identification of the matching algorithm are matched with the images in the image library, and a target image matching the image to be matched is found;

The client receives the matching result returned by the server, and the matching result includes information about the user to which the matched target image belongs.

With reference to the first aspect of the present invention, in the first possible implementation manner of the first aspect of the present invention, when the matching type of the image to be matched is the face matching type, the client adopts the matching method of the image to be matched The matching algorithm corresponding to the matching type obtains the matching parameters of the image to be matched, including:

The client uses a matching algorithm corresponding to the face matching type to extract the face features of the image to be matched.

With reference to the first aspect of the present invention, in the second possible implementation manner of the first aspect of the present invention, when the matching type of the image to be matched is the background matching type, the client uses the The matching algorithm corresponding to the matching type obtains the matching parameters of the image to be matched, including:

The client uses an algorithm corresponding to the background matching type to extract the color features of the background of the image to be matched.

With reference to the first aspect of the present invention, in a third possible implementation manner of the first aspect of the present invention, when the matching type of the image to be matched is a location matching type, the client uses the The matching algorithm corresponding to the matching type obtains the matching parameters of the image to be matched, including:

The client uses an algorithm corresponding to the location matching type to extract texture features of the image to be matched.

With reference to the third possible implementation of the first aspect of the present invention, in the fourth possible implementation of the first aspect of the present invention, the matching parameters of the image to be matched further include shooting location information of the image to be matched , the method also includes:

The client acquires the shooting location information of the image to be matched from the file header information of the image to be matched.

With reference to the first aspect of the present invention, in the fifth possible implementation manner of the first aspect of the present invention, when the matching type of the image to be matched is the author matching type, the client adopts the The matching algorithm corresponding to the matching type obtains the matching parameters of the image to be matched, including:

The client adopts an algorithm corresponding to the author matching type to obtain the information of the photographer of the image to be matched from the file header information of the image to be matched.

The second aspect of the present invention provides a method for finding friends by image matching, including:

The server receives the matching parameters of the image to be matched sent by the client, the matching type of the image to be matched, and the identification of the matching algorithm corresponding to the matching type of the image to be matched;

The server obtains the matching parameters of the images in the image library according to the matching type of the image to be matched and the identification of the matching algorithm;

The server matches the matching parameters of the image to be matched with the matching parameters of the images in the image library, and uses the successfully matched image as the target image;

The server acquires the information of the user to which the target image belongs, generates a matching result according to the information of the user to which the target image belongs, and sends the matching result to the client.

With reference to the second aspect of the present invention, in the first possible implementation manner of the second aspect of the present invention, when the matching type of the image to be matched is the face matching type, the identification of the matching algorithm is the face matching The identification of the matching algorithm corresponding to the type;

The server obtains the matching parameters of the images in the image library according to the matching type of the image to be matched and the identification of the matching algorithm, including:

According to the matching type of the image to be matched and the identification of the matching algorithm, the server uses the matching algorithm corresponding to the face matching type to extract the face features of the images in the image library;

The server matches the matching parameters of the image to be matched with the matching parameters of the images in the image library, and uses the successfully matched image as the target image, including:

The server matches the facial features of the image to be matched with the facial features of the images in the image database, and uses the successfully matched image as the target image.

With reference to the second aspect of the present invention, in the second possible implementation manner of the second aspect of the present invention, when the matching type of the image to be matched is the background matching type, the identification of the matching algorithm is the background matching type The identification of the corresponding matching algorithm;

The server obtains the matching parameters of the images in the image library according to the matching type of the image to be matched and the identification of the matching algorithm, including:

According to the matching type of the image to be matched and the identification of the matching algorithm, the server uses the matching algorithm corresponding to the background matching type to extract the color feature of the background of the image in the image library;

The server matches the matching parameters of the image to be matched with the matching parameters of the images in the image library, and uses the successfully matched image as the target image, including:

The server matches the color feature of the background of the image to be matched with the color feature of the background of the image in the image library, and uses the image that is successfully matched as the target image.

With reference to the second possible implementation of the second aspect of the present invention, in the third possible implementation of the second aspect of the present invention, the server obtains the information of the user to which the target image belongs, and according to the The information of the user generates a matching result, and sends the matching result to the client, including:

The server obtains the information of the user to whom the target image belongs;

The server judges whether the number of images matching the image to be matched in the user's image to which the target image belongs is greater than a preset threshold;

If the number of images of the user to which the target image belongs matches the image to be matched is greater than the threshold, the server adds information about the user to which the target image belongs to the matching result.

With reference to the second aspect of the present invention, in the fourth possible implementation of the second aspect of the present invention, when the matching type of the image to be matched is the location matching type, the identification of the matching algorithm is the location matching type The identification of the corresponding matching algorithm;

The server obtains the matching parameters of the images in the image library according to the matching type of the image to be matched and the identification of the matching algorithm, including:

According to the matching type of the image to be matched and the identification of the matching algorithm, the server uses an algorithm corresponding to the location matching type to extract the texture features of the image in the image library;

The server matches the matching parameters of the image to be matched with the matching parameters of the images in the image library, and uses the successfully matched image in the image library as the target image, including:

The server matches the texture feature of the image to be matched with the texture feature of the image in the image library, and takes the image that is successfully matched as the target image.

With reference to the second aspect of the present invention, in the fifth possible implementation manner of the second aspect of the present invention, when the matching type of the image to be matched is the location matching type, the identification of the matching algorithm is the location matching type The identification of the corresponding matching algorithm;

The server obtains the matching parameters of the images in the image library according to the matching type of the image to be matched and the identification of the matching algorithm, including:

According to the matching type of the image to be matched and the identification of the matching algorithm, the server uses the algorithm corresponding to the location matching type to extract the texture features of the image in the image library, and extracts the texture features from the image in the image library Obtain the shooting location information of the image in the image library from the header information of the file;

The server matches the matching parameters of the image to be matched with the matching parameters of the images in the image library, and uses the successfully matched image as the target image, including:

The server matches the texture feature and shooting location information in the image to be matched with the texture feature and shooting location information of the image in the image library, and uses the successfully matched image as the target image.

With reference to the second aspect of the present invention, in the sixth possible implementation of the second aspect of the present invention, when the matching type of the image to be matched is the author matching type, the identification of the matching algorithm is the author matching type The identification of the corresponding matching algorithm;

The server obtains the matching parameters of the images in the image library according to the matching type of the image to be matched and the identification of the matching algorithm, including:

According to the matching type of the image to be matched and the identification of the matching algorithm, the server adopts the algorithm corresponding to the matching type of the author to obtain the image in the image library from the file header information of the image in the image library. information about the author of the image;

The server matches the matching parameters of the image to be matched with the matching parameters of the images in the image library, and uses the successfully matched image as the target image, including:

The server matches the information of the photographer of the image to be matched with the information of the photographer of the images in the image library, and uses the image that is successfully matched as the target image.

A third aspect of the present invention provides a client, including:

A receiving module, configured to receive an image to be matched input by a user and a matching type of the image to be matched;

An acquisition module, configured to acquire matching parameters of the image to be matched by using a matching algorithm corresponding to the matching type of the image to be matched;

A sending module, configured to send the matching parameters of the image to be matched, the matching type of the image to be matched, and the identification of the matching algorithm to a server, so that the server can The matching type of the image to be matched and the identification of the matching algorithm are matched with the images in the image library, and a target image matching the image to be matched is found;

The receiving module is further configured to receive a matching result returned by the server, where the matching result includes information about the user to which the matched target image belongs.

With reference to the third aspect of the present invention, in the first possible implementation manner of the third aspect of the present invention, when the matching type of the image to be matched is a face matching type, the acquiring module is specifically configured to: use the The matching algorithm corresponding to the face matching type extracts the face features of the image to be matched.

With reference to the third aspect of the present invention, in the second possible implementation manner of the third aspect of the present invention, when the matching type of the image to be matched is the background matching type, the acquisition module is specifically configured to: use the The algorithm corresponding to the background matching type extracts the color features of the background of the image to be matched.

With reference to the third aspect of the present invention, in a third possible implementation manner of the third aspect of the present invention, when the matching type of the image to be matched is a location matching type, the acquisition module is specifically configured to: use the The algorithm corresponding to the location matching type extracts the texture features of the image to be matched.

With reference to the third possible implementation of the third aspect of the present invention, in the fourth possible implementation of the third aspect of the present invention, the matching parameters of the image to be matched further include shooting location information of the image to be matched The acquiring module is further configured to: acquire shooting location information of the image to be matched from file header information of the image to be matched.

With reference to the third aspect of the present invention, in the fifth possible implementation manner of the third aspect of the present invention, when the matching type of the image to be matched is the author matching type, the acquiring module is specifically configured to: use the The algorithm corresponding to the author matching type obtains the information of the photographer of the image to be matched from the file header information of the image to be matched.

A fourth aspect of the present invention provides a server, including:

The receiving module is used to receive the matching parameters of the image to be matched sent by the client, the matching type of the image to be matched, and the identification of the matching algorithm corresponding to the matching type of the image to be matched;

An acquisition module, configured to acquire the matching parameters of the images in the image library according to the matching type of the image to be matched and the identification of the matching algorithm;

A matching module, configured to match the matching parameters of the image to be matched with the matching parameters of the images in the image library, and use the successfully matched image as the target image;

A sending module, configured to acquire information about the user to which the target image belongs, generate a matching result according to the information about the user to which the target image belongs, and send the matching result to the client.

With reference to the fourth aspect of the present invention, in the first possible implementation manner of the fourth aspect of the present invention, when the matching type of the image to be matched is the face matching type, the identification of the matching algorithm is the face matching The identification of the matching algorithm corresponding to the type, and the acquisition module is specifically used for: according to the matching type of the image to be matched and the identification of the matching algorithm, use the matching algorithm corresponding to the face matching type to extract the The facial features of the image;

The matching module is specifically configured to: match the facial features of the image to be matched with the facial features of the images in the image library, and use the successfully matched image as the target image.

With reference to the fourth aspect of the present invention, in the second possible implementation manner of the fourth aspect of the present invention, when the matching type of the image to be matched is the background matching type, the identification of the matching algorithm is the background matching type The identification of the corresponding matching algorithm, the acquisition module is specifically used for: according to the matching type of the image to be matched and the identification of the matching algorithm, using the matching algorithm corresponding to the background matching type to extract the image in the image library The color characteristics of the background;

The matching module is specifically configured to: match the color feature of the background of the image to be matched with the color feature of the background of the image in the image library, and use the successfully matched image as the target image.

With reference to the second possible implementation of the fourth aspect of the present invention, in the third possible implementation of the fourth aspect of the present invention, the sending module is specifically configured to:

Acquiring information about the user to which the target image belongs;

judging whether the number of images matching the image to be matched in the user's image to which the target image belongs is greater than a preset threshold;

If the number of images of the user to which the target image belongs matches the image to be matched is greater than the threshold, adding the information of the user to which the target image belongs to the matching result.

With reference to the fourth aspect of the present invention, in a fourth possible implementation manner of the fourth aspect of the present invention, when the matching type of the image to be matched is the location matching type, the identification of the matching algorithm is the location matching type The identification of the corresponding matching algorithm, the acquisition module is specifically used to: according to the matching type of the image to be matched and the identification of the matching algorithm, use the algorithm corresponding to the matching type of the location to extract the image in the image library texture features;

The matching module is specifically configured to: match the texture features of the image to be matched with the texture features of the images in the image library, and use the successfully matched image as the target image.

With reference to the fourth aspect of the present invention, in the fifth possible implementation manner of the fourth aspect of the present invention, when the matching type of the image to be matched is the location matching type, the identification of the matching algorithm is the location matching type The identification of the corresponding matching algorithm, the acquisition module is specifically used to: according to the matching type of the image to be matched and the identification of the matching algorithm, use the algorithm corresponding to the location matching type to extract the image in the image library Texture features, and obtain the shooting location information of the image in the image library from the file header information of the image in the image library;

The matching module is specifically configured to: match the texture feature and shooting location information in the image to be matched with the texture feature and shooting location information of the image in the image library, and use the successfully matched image as the target image.

With reference to the fourth aspect of the present invention, in the sixth possible implementation manner of the fourth aspect of the present invention, when the matching type of the image to be matched is the author matching type, the identification of the matching algorithm is the author matching type The identification of the corresponding matching algorithm, the acquisition module is specifically used for: according to the matching type of the image to be matched and the identification of the matching algorithm, using the algorithm corresponding to the matching type of the author, from the image in the image library Obtain the information of the author who took the image in the image library from the header information of the file;

The matching module is specifically configured to: match the information of the photographer of the image to be matched with the information of the photographer of the images in the image library, and use the successfully matched image as the target image.

In the method and device for finding friends by image matching provided by the embodiments of the present invention, the client receives the matching type of the image to be matched input by the user, and adopts a matching algorithm corresponding to the matching type of the image to be matched to obtain the matching parameters of the image to be matched, and then , send the matching parameters, matching type and matching algorithm identification of the image to be matched to the server, and the server matches the image in the image library according to the matching parameters, matching type and matching algorithm identification of the image to be matched, and finds the matching image The matched target image and the matching result returned to the client, the matching result includes the information of the user to which the matched target image belongs, and the user to which the target image belongs is a friend. The above method finds friends by using image resources existing by the user for image matching, which facilitates the user to find friends.

Description of drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description These are some embodiments of the present invention. For those skilled in the art, other drawings can also be obtained according to these drawings on the premise of not paying creative efforts.

FIG. 1 is a flowchart of a method for finding friends by image matching provided in Embodiment 1 of the present invention;

FIG. 2 is a flowchart of a method for finding friends by image matching provided in Embodiment 2 of the present invention;

FIG. 3 is a schematic structural diagram of a client provided by Embodiment 3 of the present invention;

FIG. 4 is a schematic structural diagram of a server provided in Embodiment 4 of the present invention;

FIG. 5 is a schematic structural diagram of a terminal provided in Embodiment 5 of the present invention;

FIG. 6 is a schematic structural diagram of a server provided in Embodiment 6 of the present invention.

detailed description

In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

Fig. 1 is a flowchart of a method for finding friends by image matching provided in Embodiment 1 of the present invention. The method provided in this embodiment is executed by a client, and the client may specifically be an application (Application) installed on a terminal, as shown in Fig. 1 As shown, the method of this embodiment may include the following steps:

Step 101, the client receives the image to be matched and the matching type of the image to be matched input by the user.

The user can select an image from the local image library of the terminal where the client is located as the image to be matched, or start the camera to take a photo as the image to be matched. The user can select the matching type of the image to be matched through the selection button on the user interface. The matching type of the image to be matched includes: face matching type, background matching type, location matching type and author matching type, etc.

Step 102, the client acquires matching parameters of the image to be matched by using a matching algorithm corresponding to the matching type of the image to be matched.

In this embodiment, each matching type corresponds to a different matching algorithm. According to the matching type of the image to be matched, the client selects the matching algorithm corresponding to the matching type to obtain the matching parameters of the image to be matched. The following will specifically describe:

When the matching type of the image to be matched is the face matching type, the client uses a matching algorithm corresponding to the face matching type to extract the face features of the image to be matched. The matching algorithm corresponding to the face matching type refers to the algorithm used to extract face features. The commonly used methods for extracting face features include: template matching-based method, singular value feature-based method, singular value feature-based method, local preservation projection method, Principal component method, elastic matching method, eigenface method (based on KL transformation), artificial neural network method, support vector machine method, method based on integral image feature and method based on probability model, etc.

When the matching type of the image to be matched is the background matching type, the client uses an algorithm corresponding to the background matching type to extract the color feature of the background of the image to be matched. The background of the image refers to the main color of the image, and the color feature of the image refers to the overall tone of the image, which is mixed according to the specified algorithm to obtain a main color value. The algorithm corresponding to the background matching type refers to the algorithm used to extract the background features of the image. Commonly used methods for extracting background features include: clustering by pixel color value, taking the peak value of the color histogram, etc.

When the matching type of the image to be matched is the location matching type, the client uses an algorithm corresponding to the location matching type to extract texture features of the image to be matched. Texture feature is a visual feature that does not depend on color or brightness and reflects homogeneous phenomena in images. The algorithm corresponding to the location matching type refers to the method used to extract the texture features of the image. Commonly used methods for extracting texture features include: autocorrelation function, Fourier transform, run length analysis, gray level difference analysis, and gray level co-occurrence matrix analysis, etc. .

Optionally, when the matching type of the image to be matched is the location matching type, the matching parameters of the image to be matched include not only the texture features of the image to be matched, but also the shooting location information of the image to be matched. The shooting location information of the image to be matched is obtained from the file header information. The file header information of the image stores the information of the shooting location of the image and the information of the photographer of the image, and the file header information may also include information such as the time of the shooter, the brand model of the camera that took the image, and the like. For example, when the file format of the image to be matched is Exchangeable ImageFile (Exif for short), the data storage of the Exif format image is exactly the same as that of the JPEG format. In fact, the Exif format is to insert the image in the JPEG format header. information, including aperture, shutter speed, white balance, ISO, focal length, date and time, shooting conditions, camera brand, model, color code, sound recorded during shooting, and thumbnail when shooting. Simply put, Exif=JPEG+shooting parameters.

When the matching type of the image to be matched is the matching type of the author, the client uses an algorithm corresponding to the matching type of the author to obtain the information of the author of the image to be matched from the file header information of the image to be matched.

Step 103, the client sends the matching parameters of the image to be matched, the matching type of the image to be matched and the identification of the matching algorithm to the server, so that the server can Match the images in the image library to find the target image that matches the image to be matched.

After obtaining the matching parameters of the image to be matched, the client sends the matching parameters of the image to be matched, the matching type of the image to be matched and the identification of the matching algorithm to the server. Specifically, the client can send the matching parameters of the image to be matched, the matching type of the image to be matched, and the identification of the matching algorithm in the following message format: application protocol header + matching type + uploaded data type + matching parameter + matching algorithm identification + End or Not, wherein, the application protocol header includes but is not limited to HyperText Transfer Protocol (HyperTextTransfer Protocol, HTTP for short), HyperText Transfer Protocol over Secure Socket Layer based on HyperText Transfer Protocol over Secure Socket Layer, HTTPS for short), etc. The upload data type is used to define the type of the uploaded match parameter.

In this embodiment, when the matching type of the image to be matched is the face matching type, the matching parameter of the image to be matched is the face feature of the image to be matched. When the matching type of the image to be matched is the background matching type, the matching parameter of the image to be matched is the background feature of the image to be matched. When the matching type of the image to be matched is the location matching type, the matching parameter of the image to be matched is the texture feature of the image to be matched, or the matching parameter of the image to be matched is the texture feature and shooting location information of the image to be matched. When the matching type of the image to be matched is the author matching type, the matching parameter of the image to be matched is the information of the author of the image to be matched. When the matching type of the image to be matched is other types, the matching parameter of the image to be matched is the whole image.

After receiving the matching parameters of the image to be matched, the matching type of the image to be matched, and the identification of the matching algorithm, the server selects the same matching algorithm as the client to extract the image in the image library according to the matching type of the image to be matched and the identification of the matching algorithm. Matching parameters. Then, match the matching parameters of the image to be matched with the matching parameters of the images in the image library, and use the successfully matched image as the target image.

In the method of this embodiment, by extracting the matching parameters of the image to be matched according to the matching type, in most cases, the client only needs to send the matching parameters of the image to be matched to the server, and the server performs image processing according to the matching parameters of the image to be matched. Matching, without sending the entire image to the server, because the matching parameters of the image to be matched are smaller than the entire image, which can save network resources occupied.

Step 104, the client receives the matching result returned by the server, and the matching result includes the information of the user to which the matched target image belongs.

The matching result returned by the server to the client includes the information of the user to which the target image belongs. When there are multiple target images, the server will generate a user information list, and send the user information list to the client. After the client receives the matching results, it will be displayed to the user in the form of a list or other forms, and the user can add the desired user as a friend by selecting the Add button.

In this embodiment, the client receives the matching type of the image to be matched input by the user, adopts a matching algorithm corresponding to the matching type of the image to be matched to obtain the matching parameters of the image to be matched, and then uses the matching parameters of the image to be matched, matching The type and the identification of the matching algorithm are sent to the server, so that the server can match the image in the image library according to the matching parameters, matching type and matching algorithm identification of the image to be matched, find the target image that matches the image to be matched, and send it to the client The matching result returned by the terminal, the matching result includes the information of the user to which the matched target image belongs, and the user to which the target image belongs is a friend. The above method finds friends by using image resources existing by the user for image matching, which facilitates the user to find friends.

Fig. 2 is a flow chart of the method for finding friends by image matching provided by Embodiment 2 of the present invention. This embodiment is described from the perspective of the server. As shown in Fig. 2, the method provided by this embodiment may include the following steps:

Step 201, the server receives the matching parameters of the image to be matched, the matching type of the image to be matched, and the identification of the matching algorithm corresponding to the matching type of the image to be matched sent by the client.

Step 202, the server obtains the matching parameters of the images in the image database according to the matching type of the image to be matched and the identification of the matching algorithm.

The client sends the matching type of the image to be matched and the identification of the matching algorithm corresponding to the matching type of the image to the server, so that the server uses the same matching algorithm to extract the matching parameters of the images in the image library.

When the matching type of the image to be matched is the face matching type, the identification of the matching algorithm is the identification of the matching algorithm corresponding to the face matching type, and the server obtains the matching information of the image in the image library according to the matching type of the image to be matched and the identification of the matching algorithm The parameters are specifically: according to the matching type of the image to be matched and the identification of the matching algorithm, the server uses the matching algorithm corresponding to the face matching type to extract the face features of the image in the image database.

When the matching type of the image to be matched is the background matching type, the identification of the matching algorithm is the identification of the matching algorithm corresponding to the background matching type, and the server obtains the matching information of the image in the image library according to the matching type of the image to be matched and the identification of the matching algorithm The parameters are specifically: the server uses the matching algorithm corresponding to the background matching type to extract the background color feature of the image in the image database according to the matching type of the image to be matched and the identification of the matching algorithm.

When the matching type of the image to be matched is the location matching type, the identification of the matching algorithm is the identification of the matching algorithm corresponding to the location matching type, and the server obtains the matching information of the image in the image library according to the matching type of the image to be matched and the identification of the matching algorithm The parameters are specifically: according to the matching type of the image to be matched and the identification of the matching algorithm, the server uses an algorithm corresponding to the location matching type to extract the texture of the image in the image library. Or, according to the matching type of the image to be matched and the identification of the matching algorithm, the server uses the algorithm corresponding to the location matching type to extract the texture of the image in the image library, and obtains the image in the image library from the file header information of the image in the image library shooting location information.

When the matching type of the image to be matched is the matching type of the author, the identification of the matching algorithm is the identification of the matching algorithm corresponding to the matching type of the author, and the server obtains the matching of the image in the image library according to the matching type of the image to be matched and the identification of the matching algorithm The parameters are specifically: according to the matching type of the image to be matched and the identification of the matching algorithm, the server adopts the algorithm corresponding to the matching type of the author, and obtains the author's information of the image in the image library from the file header information of the image in the image library.

Step 203, the server matches the matching parameters of the image to be matched with the matching parameters of the images in the image database, and uses the successfully matched image as the target image.

When the matching type of the image to be matched is the face matching type, the server matches the facial features of the image to be matched with the facial features of the images in the image database, and uses the successfully matched image as the target image.

When the matching type of the image to be matched is the background matching type, the server matches the color feature of the background of the image to be matched with the color feature of the background of the image in the image library, and uses the successfully matched image as the target image.

When the matching type of the image to be matched is the location matching type, the server matches the texture feature of the image to be matched with the texture feature of the image in the image library, and uses the image that is successfully matched as the target image. Alternatively, the server matches the texture feature and shooting location information in the image to be matched with the texture feature and shooting location information of the image in the image library, and uses the successfully matched image as the target image.

When the matching type of the image to be matched is the author matching type, the server matches the information of the author of the image to be matched with the information of the author of the image in the image database, and uses the successfully matched image as the target image.

Step 204, the server acquires the information of the user to which the target image belongs, generates a matching result according to the information of the user to which the target image belongs, and sends the matching result to the client.

After matching the target image, the server obtains the information of the user to whom the target image belongs. When the matching type is face matching type, location matching type and author matching type, the server sends the information of the user to which the target image belongs to the client. When the matching type is the background matching type, after obtaining the information of the user to which the target image belongs, the server judges whether the number of images matching the image to be matched in the user’s image to which the target image belongs is greater than the preset threshold, if the target image belongs to If the number of images matching the image to be matched in the user's image is greater than the threshold, the server will add the information of the user to which the target image belongs to the matching result, that is to say, the user to which the target image belongs has multiple images that match the image to be matched The server only considers the user as a friend if the images match. For example, if the threshold is 10, then among the images uploaded by a certain user, the difference between the color features of more than 10 images and the color features of the image to be matched is within plus or minus 3, then the user is determined to be a friend, and the user's information added to the matching results. According to this rule, find out all users who meet the conditions.

In this embodiment, the server receives the matching parameters of the image to be matched, the matching type, and the identification of the matching algorithm corresponding to the matching type of the image to be matched sent by the client, and obtains the image database according to the matching type of the image to be matched and the identification of the matching algorithm Match the matching parameters of the image in the image, match the matching parameters of the image to be matched with the matching parameters of the image in the image library, use the successfully matched image as the target image, and finally obtain the information of the user to which the target image belongs, according to the The user's information generates a matching result and sends the matching result to the client. The above method finds friends by using image resources existing by the user for image matching, which facilitates the user to find friends.

FIG. 3 is a schematic structural diagram of a client provided by Embodiment 3 of the present invention. As shown in FIG. 3 , the client provided by this embodiment includes: a receiving module 11 , an acquiring module 12 and a sending module 13 .

Wherein, the receiving module 11 is used to receive the image to be matched input by the user and the matching type of the image to be matched;

An acquisition module 12, configured to acquire matching parameters of the image to be matched by using a matching algorithm corresponding to the matching type of the image to be matched;

The sending module 13 is configured to send the matching parameters of the image to be matched, the matching type of the image to be matched, and the identification of the matching algorithm to a server, so that the server can use the matching parameters of the image to be matched, The matching type of the image to be matched and the identification of the matching algorithm are matched with the images in the image library, and a target image matching the image to be matched is found;

The receiving module 11 is further configured to receive the matching result returned by the server, and the matching result includes the information of the user to which the matched target image belongs.

When the matching type of the image to be matched is the face matching type, the acquisition module 12 is specifically configured to: extract the face feature of the image to be matched by using a matching algorithm corresponding to the face matching type.

When the matching type of the image to be matched is the background matching type, the acquiring module 12 is specifically configured to: extract the color feature of the background of the image to be matched by using an algorithm corresponding to the background matching type.

When the matching type of the image to be matched is a location matching type, the acquisition module 12 is specifically configured to: extract texture features of the image to be matched by using an algorithm corresponding to the location matching type. Optionally, the matching parameters of the image to be matched further include shooting location information of the image to be matched, and the acquisition module 12 is further configured to: acquire the image to be matched from file header information of the image to be matched shooting location information.

When the matching type of the image to be matched is the author matching type, the acquisition module 12 is specifically configured to: use an algorithm corresponding to the author matching type to obtain the Information about the author who took the image.

The client in this embodiment can be used to execute the method in Embodiment 1, and the specific implementation manner and technical effect are similar, and will not be repeated here.

FIG. 4 is a schematic structural diagram of a server provided in Embodiment 4 of the present invention. As shown in FIG. 4 , the server provided in this embodiment includes: a receiving module 21 , an acquiring module 22 , a matching module 23 and a sending module 23 .

Wherein, the receiving module 21 is used to receive the matching parameters of the image to be matched sent by the client, the matching type of the image to be matched, and the identification of the matching algorithm corresponding to the matching type of the image to be matched;

The obtaining module 22 is used to obtain the matching parameters of the images in the image library according to the matching type of the image to be matched and the identification of the matching algorithm;

A matching module 23, configured to match the matching parameters of the image to be matched with the matching parameters of the images in the image library, and use the successfully matched image as the target image;

The sending module 24 is configured to acquire the information of the user to which the target image belongs, generate a matching result according to the information of the user to which the target image belongs, and send the matching result to the client.

When the matching type of the image to be matched is the face matching type, the identification of the matching algorithm is the identification of the matching algorithm corresponding to the face matching type, and the acquisition module 22 is specifically configured to: according to the image to be matched The matching type and the identification of the matching algorithm, using the matching algorithm corresponding to the face matching type to extract the face features of the images in the image library. Correspondingly, the matching module 23 is specifically configured to: match the facial features of the image to be matched with those of the images in the image library, and use the successfully matched image as the target image.

When the matching type of the image to be matched is the background matching type, the identification of the matching algorithm is the identification of the matching algorithm corresponding to the background matching type, and the acquisition module 22 is specifically configured to: according to the identification of the image to be matched The identification of the matching type and the matching algorithm, using the matching algorithm corresponding to the background matching type to extract the color features of the background of the image in the image library. Correspondingly, the matching module 23 is specifically configured to: match the color feature of the background of the image to be matched with the color feature of the background of the image in the image library, and use the successfully matched image as the target image.

When the matching type of the image to be matched is the background matching type, optionally, the sending module 24 is specifically configured to: obtain information about the user to which the target image belongs; Whether the number of images matched with the image to be matched is greater than a preset threshold; if the number of images matched with the image to be matched in the image of the user to which the target image belongs is greater than the threshold, the target The information of the user to whom the image belongs is added to the matching result.

When the matching type of the image to be matched is the location matching type, the identification of the matching algorithm is the identification of the matching algorithm corresponding to the location matching type, and the acquisition module 22 is specifically configured to: according to the location matching type of the image to be matched The identification of the matching type and the matching algorithm, using the algorithm corresponding to the location matching type to extract the texture features of the images in the image library. Correspondingly, the matching module 23 is specifically configured to: match the texture features of the image to be matched with the texture features of the images in the image library, and use the successfully matched image as the target image.

When the matching type of the image to be matched is the location matching type, the identification of the matching algorithm is the identification of the matching algorithm corresponding to the location matching type, and the acquisition module 22 is specifically configured to: according to the location matching type of the image to be matched The identification of the matching type and the matching algorithm, using the algorithm corresponding to the location matching type to extract the texture features of the images in the image library, and obtaining the image library from the file header information of the images in the image library The shooting location information of the image in . Correspondingly, the matching module 23 is specifically configured to: match the texture features and shooting location information in the image to be matched with the texture features and shooting location information of the images in the image library, and match the successfully matched images as the target image.

When the matching type of the image to be matched is the author matching type, the identification of the matching algorithm is the identification of the matching algorithm corresponding to the author matching type, and the acquisition module 22 is specifically configured to: according to the matching algorithm of the image to be matched The identification of the matching type and the matching algorithm, using the algorithm corresponding to the author matching type, to obtain the information of the photographer of the image in the image library from the file header information of the image in the image library. Correspondingly, the matching module 23 is specifically configured to: match the information of the photographer of the image to be matched with the information of the photographer of the images in the image library, and use the successfully matched image as the target image.

The server in this embodiment can be used to execute the method in Embodiment 2, and the specific implementation manner and technical effect are similar, and will not be repeated here.

FIG. 5 is a schematic structural diagram of a terminal provided in Embodiment 5 of the present invention. As shown in FIG. 32 and the communication interface 33 are connected with the processor 31 through the communication bus 34, the memory 32 is used to store computer instructions, the communication interface 33 is used to communicate with other devices, and the processor 31 is used to execute the computer instructions stored in the memory 32 to perform The method described below:

Receive the image to be matched and the matching type of the image to be matched input by the user;

Acquiring matching parameters of the image to be matched by using a matching algorithm corresponding to the matching type of the image to be matched;

Send the matching parameters of the image to be matched, the matching type of the image to be matched, and the identification of the matching algorithm to the server, so that the server can The matching type and the identification of the matching algorithm are matched with the images in the image library, and a target image matching the image to be matched is found;

The matching result returned by the server is received, and the matching result includes information about the user to which the matched target image belongs.

When the matching type of the image to be matched is a face matching type, the acquisition of the matching parameters of the image to be matched by using a matching algorithm corresponding to the matching type of the image to be matched includes: The matching algorithm corresponding to the type extracts the facial features of the image to be matched.

When the matching type of the image to be matched is a background matching type, the acquisition of the matching parameters of the image to be matched by using a matching algorithm corresponding to the matching type of the image to be matched includes: adopting the matching type corresponding to the background matching type The corresponding algorithm extracts the color features of the background of the image to be matched.

When the matching type of the image to be matched is a location matching type, the acquisition of the matching parameters of the image to be matched by using a matching algorithm corresponding to the matching type of the image to be matched includes: using the matching type corresponding to the location The corresponding algorithm extracts the texture features of the image to be matched. Optionally, the matching parameters of the image to be matched further include shooting location information of the image to be matched, and the processor 31 is further configured to: obtain the image to be matched from header information of the image to be matched Information about where the image was taken.

When the matching type of the image to be matched is the matching type of the author, the acquisition of the matching parameters of the image to be matched by using the matching algorithm corresponding to the matching type of the image to be matched includes: adopting the matching type with the author The corresponding algorithm obtains the information of the photographer of the image to be matched from the file header information of the image to be matched.

The terminal in this embodiment can be used to execute the method in Embodiment 1, and the specific implementation manner and technical effect are similar, and will not be repeated here.

FIG. 6 is a schematic structural diagram of a server provided in Embodiment 6 of the present invention. As shown in FIG. 6, the server 400 provided in this embodiment includes: a processor 41, a memory 42, a communication interface 43 and a communication bus 44, wherein 42 and the communication interface 43 are connected with the processor 41 through the communication bus 44, the memory 42 is used to store computer instructions, the communication interface 43 is used to communicate with other devices, and the processor 41 is used to execute the computer instructions stored in the memory 42 to perform The method described below:

receiving the matching parameters of the image to be matched sent by the client, the matching type of the image to be matched, and the identification of the matching algorithm corresponding to the matching type of the image to be matched;

According to the matching type of the image to be matched and the identification of the matching algorithm, the matching parameters of the images in the image library are acquired;

Matching the matching parameters of the image to be matched with the matching parameters of the images in the image library, using the successfully matched image as the target image;

Acquire the information of the user to which the target image belongs, generate a matching result according to the information of the user to which the target image belongs, and send the matching result to the client.

When the matching type of the image to be matched is the face matching type, the identification of the matching algorithm is the identification of the matching algorithm corresponding to the face matching type. The acquiring the matching parameters of the image in the image library according to the matching type of the image to be matched and the identification of the matching algorithm includes: according to the matching type of the image to be matched and the identification of the matching algorithm, using the The matching algorithm corresponding to the face matching type extracts the face features of the images in the image library. The matching of the matching parameters of the image to be matched with the matching parameters of the images in the image library, and using the successfully matched image as the target image includes: matching the facial features of the image to be matched with the The facial features of the images in the image library are matched, and the image that is successfully matched is used as the target image.

When the matching type of the image to be matched is the background matching type, the identification of the matching algorithm is the identification of the matching algorithm corresponding to the background matching type. The acquiring the matching parameters of the image in the image library according to the matching type of the image to be matched and the identification of the matching algorithm includes: according to the matching type of the image to be matched and the identification of the matching algorithm, using the The matching algorithm corresponding to the background matching type extracts the color features of the background of the images in the image library. The matching the matching parameters of the image to be matched with the matching parameters of the images in the image library, and using the successfully matched image as the target image includes: matching the color feature of the background of the image to be matched with The background color features of the images in the image library are matched, and the successfully matched image is used as the target image.

When the matching type of the image to be matched is the background matching type, the acquisition of the information of the user to which the target image belongs generates a matching result according to the information of the user to which the target image belongs, and sends the matching result to the The client includes: obtaining the information of the user to which the target image belongs; judging whether the number of images matching the image to be matched in the image of the user to which the target image belongs is greater than a preset threshold; if the target If the number of images that match the image to be matched among the images of the user to which the images belong is greater than the threshold, the information of the user to which the target image belongs is added to the matching result.

When the matching type of the image to be matched is the location matching type, the identification of the matching algorithm is the identification of the matching algorithm corresponding to the location matching type. The acquiring the matching parameters of the images in the image library according to the matching type of the image to be matched and the identification of the matching algorithm includes: according to the matching type of the image to be matched and the identification of the matching algorithm, using The algorithm corresponding to the location matching type extracts the texture features of the images in the image library. The matching the matching parameters of the image to be matched with the matching parameters of the images in the image library, and using the successfully matched image in the image library as the target image includes: matching the image to be matched The texture features of the image are matched with the texture features of the images in the image library, and the matched image is used as the target image.

When the matching type of the image to be matched is the location matching type, the identification of the matching algorithm is the identification of the matching algorithm corresponding to the location matching type. The acquiring the matching parameters of the image in the image library according to the matching type of the image to be matched and the identification of the matching algorithm includes: according to the matching type of the image to be matched and the identification of the matching algorithm, using the The algorithm corresponding to the location matching type extracts the texture features of the images in the image library, and obtains the shooting location information of the images in the image library from the file header information of the images in the image library. The matching the matching parameters of the image to be matched with the matching parameters of the images in the image library, and using the successfully matched image as the target image includes: combining the texture features in the image to be matched with the photographic The location information is matched with the texture features and shooting location information of the images in the image library, and the matched image is used as the target image.

When the matching type of the image to be matched is the author matching type, the identification of the matching algorithm is the identification of the matching algorithm corresponding to the author matching type. The acquiring the matching parameters of the image in the image library according to the matching type of the image to be matched and the identification of the matching algorithm includes: according to the matching type of the image to be matched and the identification of the matching algorithm, using the The algorithm corresponding to the matching type of the author is used to obtain the information of the author who took the image in the image library from the file header information of the image in the image library. Matching the matching parameters of the image to be matched with the matching parameters of the images in the image library, and using the successfully matched image as the target image includes: combining the information of the photographer of the image to be matched with the The photographing author's information of the images in the image library is matched, and the matched image is used as the target image.

The server in this embodiment can be used to execute the method in Embodiment 2, and the specific implementation manner and technical effect are similar, and will not be repeated here.

Those of ordinary skill in the art can understand that all or part of the steps for implementing the above method embodiments can be completed by program instructions and related hardware. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps including the above-mentioned method embodiments; and the aforementioned storage medium includes: ROM, RAM, magnetic disk or optical disk and other various media that can store program codes.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present invention, rather than limiting them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: It is still possible to modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the technical solutions of the various embodiments of the present invention. scope.

Claims (26)

1. A method for finding friends by image matching, characterized in that, comprising: The client receives the image to be matched and the matching type of the image to be matched input by the user; The client adopts a matching algorithm corresponding to the matching type of the image to be matched to obtain the matching parameters of the image to be matched; The client sends the matching parameters of the image to be matched, the matching type of the image to be matched, and the identification of the matching algorithm to the server, so that the server can use the matching parameters of the image to be matched, the The matching type of the image to be matched and the identification of the matching algorithm are matched with the images in the image library, and a target image matching the image to be matched is found; The client receives the matching result returned by the server, and the matching result includes information about the user to which the matched target image belongs. 2. The method according to claim 1, wherein when the matching type of the image to be matched is a face matching type, the client uses a matching algorithm corresponding to the matching type of the image to be matched to obtain the Describe the matching parameters of the image to be matched, including: The client uses a matching algorithm corresponding to the face matching type to extract the face features of the image to be matched. 3. The method according to claim 1, wherein when the matching type of the image to be matched is a background matching type, the client adopts a matching algorithm corresponding to the matching type of the image to be matched to obtain the Describe the matching parameters of the image to be matched, including: The client uses an algorithm corresponding to the background matching type to extract the color features of the background of the image to be matched. 4. The method according to claim 1, wherein when the matching type of the image to be matched is a location matching type, the client uses a matching algorithm corresponding to the matching type of the image to be matched to obtain the Describe the matching parameters of the image to be matched, including: The client uses an algorithm corresponding to the location matching type to extract texture features of the image to be matched. 5. The method according to claim 4, wherein the matching parameters of the image to be matched also include the shooting location information of the image to be matched, then the method further comprises: The client acquires the shooting location information of the image to be matched from the file header information of the image to be matched. 6. The method according to claim 1, wherein when the matching type of the image to be matched is the author matching type, the client uses a matching algorithm corresponding to the matching type of the image to be matched to obtain the Describe the matching parameters of the image to be matched, including: The client adopts an algorithm corresponding to the author matching type to obtain the information of the photographer of the image to be matched from the file header information of the image to be matched. 7. A method for finding friends by image matching, comprising: The server receives the matching parameters of the image to be matched sent by the client, the matching type of the image to be matched, and the identification of the matching algorithm corresponding to the matching type of the image to be matched; The server obtains the matching parameters of the images in the image library according to the matching type of the image to be matched and the identification of the matching algorithm; The server matches the matching parameters of the image to be matched with the matching parameters of the images in the image library, and uses the successfully matched image as the target image; The server acquires the information of the user to which the target image belongs, generates a matching result according to the information of the user to which the target image belongs, and sends the matching result to the client. 8. The method according to claim 7, wherein when the matching type of the image to be matched is a face matching type, the identification of the matching algorithm is the identification of the matching algorithm corresponding to the matching type of the human face; The server obtains the matching parameters of the images in the image library according to the matching type of the image to be matched and the identification of the matching algorithm, including: According to the matching type of the image to be matched and the identification of the matching algorithm, the server uses the matching algorithm corresponding to the face matching type to extract the face features of the images in the image library; The server matches the matching parameters of the image to be matched with the matching parameters of the images in the image library, and uses the successfully matched image as the target image, including: The server matches the facial features of the image to be matched with the facial features of the images in the image database, and uses the successfully matched image as the target image. 9. The method according to claim 7, wherein when the matching type of the image to be matched is a background matching type, the identification of the matching algorithm is the identification of the matching algorithm corresponding to the background matching type; The server obtains the matching parameters of the images in the image library according to the matching type of the image to be matched and the identification of the matching algorithm, including: According to the matching type of the image to be matched and the identification of the matching algorithm, the server uses the matching algorithm corresponding to the background matching type to extract the color feature of the background of the image in the image library; The server matches the matching parameters of the image to be matched with the matching parameters of the images in the image library, and uses the successfully matched image as the target image, including: The server matches the color feature of the background of the image to be matched with the color feature of the background of the image in the image library, and uses the image that is successfully matched as the target image. 10. The method according to claim 9, wherein the server obtains the information of the user to which the target image belongs, generates a matching result according to the information of the user to which the target image belongs, and sends the matching result to The client includes: The server obtains the information of the user to whom the target image belongs; The server judges whether the number of images matching the image to be matched in the user's image to which the target image belongs is greater than a preset threshold; If the number of images of the user to which the target image belongs matches the image to be matched is greater than the threshold, the server adds information about the user to which the target image belongs to the matching result. 11. The method according to claim 7, wherein when the matching type of the image to be matched is a location matching type, the identification of the matching algorithm is the identification of the matching algorithm corresponding to the location matching type; The server obtains the matching parameters of the images in the image library according to the matching type of the image to be matched and the identification of the matching algorithm, including: According to the matching type of the image to be matched and the identification of the matching algorithm, the server uses an algorithm corresponding to the location matching type to extract the texture features of the image in the image library; The server matches the matching parameters of the image to be matched with the matching parameters of the images in the image library, and uses the successfully matched image in the image library as the target image, including: The server matches the texture feature of the image to be matched with the texture feature of the image in the image library, and takes the image that is successfully matched as the target image. 12. The method according to claim 7, wherein when the matching type of the image to be matched is a location matching type, the identification of the matching algorithm is the identification of the matching algorithm corresponding to the location matching type; The server obtains the matching parameters of the images in the image library according to the matching type of the image to be matched and the identification of the matching algorithm, including: According to the matching type of the image to be matched and the identification of the matching algorithm, the server uses the algorithm corresponding to the location matching type to extract the texture features of the image in the image library, and extracts the texture features from the image in the image library Obtain the shooting location information of the image in the image library from the header information of the file; The server matches the matching parameters of the image to be matched with the matching parameters of the images in the image library, and uses the successfully matched image as the target image, including: The server matches the texture feature and shooting location information in the image to be matched with the texture feature and shooting location information of the image in the image library, and uses the successfully matched image as the target image. 13. The method according to claim 7, wherein when the matching type of the image to be matched is the author matching type, the identification of the matching algorithm is the identification of the matching algorithm corresponding to the author matching type; The server obtains the matching parameters of the images in the image library according to the matching type of the image to be matched and the identification of the matching algorithm, including: According to the matching type of the image to be matched and the identification of the matching algorithm, the server adopts the algorithm corresponding to the matching type of the author to obtain the image in the image library from the file header information of the image in the image library. information about the author of the image; The server matches the matching parameters of the image to be matched with the matching parameters of the images in the image library, and uses the successfully matched image as the target image, including: The server matches the information of the photographer of the image to be matched with the information of the photographer of the image in the image library, and uses the image that is successfully matched as the target image. 14. A client, characterized in that, comprising: A receiving module, configured to receive an image to be matched input by a user and a matching type of the image to be matched; An acquisition module, configured to acquire matching parameters of the image to be matched by using a matching algorithm corresponding to the matching type of the image to be matched; A sending module, configured to send the matching parameters of the image to be matched, the matching type of the image to be matched, and the identification of the matching algorithm to a server, so that the server can The matching type of the image to be matched and the identification of the matching algorithm are matched with the images in the image library, and a target image matching the image to be matched is found; The receiving module is further configured to receive a matching result returned by the server, where the matching result includes information about the user to which the matched target image belongs. 15. The client according to claim 14, wherein when the matching type of the image to be matched is a face matching type, the acquisition module is specifically configured to: adopt a matching method corresponding to the face matching type Algorithm to extract the facial features of the image to be matched. 16. The client according to claim 14, wherein when the matching type of the image to be matched is a background matching type, the acquisition module is specifically configured to: adopt an algorithm corresponding to the background matching type, Extracting the color features of the background of the image to be matched. 17. The client according to claim 14, wherein when the matching type of the image to be matched is a location matching type, the acquisition module is specifically configured to: adopt an algorithm corresponding to the location matching type, Extracting texture features of the image to be matched. 18. The client according to claim 17, wherein the matching parameters of the image to be matched further include shooting location information of the image to be matched, and the obtaining module is further configured to: obtain the image from the image to be matched The shooting location information of the image to be matched is obtained from the header information of the file. 19. The client according to claim 14, wherein when the matching type of the image to be matched is an author matching type, the acquisition module is specifically configured to: adopt an algorithm corresponding to the author matching type, The information of the shooter of the image to be matched is acquired from the file header information of the image to be matched. 20. A server, characterized in that, comprising: The receiving module is used to receive the matching parameters of the image to be matched sent by the client, the matching type of the image to be matched, and the identification of the matching algorithm corresponding to the matching type of the image to be matched; An acquisition module, configured to acquire the matching parameters of the images in the image library according to the matching type of the image to be matched and the identification of the matching algorithm; A matching module, configured to match the matching parameters of the image to be matched with the matching parameters of the images in the image library, and use the successfully matched image as the target image; A sending module, configured to acquire information about the user to which the target image belongs, generate a matching result according to the information about the user to which the target image belongs, and send the matching result to the client. 21. The server according to claim 20, wherein when the matching type of the image to be matched is a face matching type, the identification of the matching algorithm is the identification of the matching algorithm corresponding to the face matching type, The acquisition module is specifically configured to: extract the face features of the images in the image library by using the matching algorithm corresponding to the face matching type according to the matching type of the image to be matched and the identification of the matching algorithm; The matching module is specifically configured to: match the facial features of the image to be matched with the facial features of the images in the image library, and use the successfully matched image as the target image. 22. The server according to claim 20, wherein when the matching type of the image to be matched is a background matching type, the identification of the matching algorithm is the identification of the matching algorithm corresponding to the background matching type, so The acquisition module is specifically used for: according to the matching type of the image to be matched and the identification of the matching algorithm, using the matching algorithm corresponding to the background matching type to extract the color feature of the background of the image in the image library; The matching module is specifically configured to: match the color feature of the background of the image to be matched with the color feature of the background of the image in the image library, and use the successfully matched image as the target image. 23. The server according to claim 22, wherein the sending module is specifically used for: Acquiring information about the user to which the target image belongs; judging whether the number of images matching the image to be matched in the user's image to which the target image belongs is greater than a preset threshold; If the number of images of the user to which the target image belongs matches the image to be matched is greater than the threshold, adding the information of the user to which the target image belongs to the matching result. 24. The server according to claim 20, wherein when the matching type of the image to be matched is a location matching type, the identification of the matching algorithm is the identification of the matching algorithm corresponding to the location matching type, so The acquisition module is specifically used for: according to the matching type of the image to be matched and the identification of the matching algorithm, using an algorithm corresponding to the matching type of the location to extract the texture feature of the image in the image library; The matching module is specifically configured to: match the texture features of the image to be matched with the texture features of the images in the image library, and use the successfully matched image as the target image. 25. The server according to claim 20, wherein when the matching type of the image to be matched is a location matching type, the identification of the matching algorithm is the identification of the matching algorithm corresponding to the location matching type, so The acquisition module is specifically used for: according to the matching type of the image to be matched and the identification of the matching algorithm, use the algorithm corresponding to the matching type of the location to extract the texture feature of the image in the image library, and extract the texture features of the image from the image Obtain the shooting location information of the image in the image library from the file header information of the image in the library; The matching module is specifically configured to: match the texture feature and shooting location information in the image to be matched with the texture feature and shooting location information of the image in the image library, and use the successfully matched image as the target image. 26. The server according to claim 20, wherein when the matching type of the image to be matched is the author matching type, the identification of the matching algorithm is the identification of the matching algorithm corresponding to the author matching type, so The acquiring module is specifically used for: according to the matching type of the image to be matched and the identification of the matching algorithm, adopt the algorithm corresponding to the matching type of the author, and acquire the described information about the author of the images in the image library; The matching module is specifically configured to: match the information of the photographer of the image to be matched with the information of the photographer of the image in the image library, and use the successfully matched image as the target image.