CN107316346A - The method and apparatus of getting tickets of electronic bill - Google Patents

Abstract

The present application provides a method and device for collecting electronic bills. The method includes: receiving a ticket collection request sent by a ticket collection terminal, the ticket collection request including: ticket collection face image, ticket service provider information, and ticket usage time; the person corresponding to the ticket service provider and ticket usage time In the face image library, the face recognition algorithm is used to judge whether the face image for ticket collection matches a real face image in the face image database, and judge whether the face image for ticket collection is a live face image; When the face image matches a real face image in the face image database, and the ticket collection face image is a live face image, the ticket collection terminal is notified to print the ticket. This application divides the face image library based on the two dimensions of ticket service provider and ticket usage time to improve the efficiency and accuracy of face recognition, thereby improving the user experience of using face recognition to collect tickets.

Description

Electronic ticket collection method and device

technical field

The present application relates to the technical field of communications, and in particular to a method and device for collecting electronic bills.

Background technique

With the rapid development of Internet technology, more and more users purchase tickets through the Internet, such as movie tickets and concert tickets. In related technologies, when a user collects a ticket through a self-service ticket collection terminal, he often needs to input a ticket collection code, or call out a QR code corresponding to the order for scanning. However, in such an implementation manner, user operations are cumbersome, and ticket collection takes a long time, which greatly reduces user experience.

Contents of the invention

In view of this, the present application provides a method and device for collecting electronic bills.

Specifically, this application is achieved through the following technical solutions:

A ticket collection method for an electronic ticket, applied on a server, the method comprising:

Receive the ticket collection request sent by the ticket collection terminal, the ticket collection request includes: ticket collection face image, ticket service provider information and ticket usage time;

In the face image library corresponding to the ticket service provider and the time of use of the ticket, judge whether the face image for taking the ticket matches a certain real face image in the face image library through a face recognition algorithm, and Judging whether the face image for getting tickets is a live face image;

When the ticket-collecting face image matches a certain real face image in the face image database, and the ticket-collecting face image is a live face image, the ticket-collecting terminal is notified to print the ticket.

A ticket collection device for electronic bills, which is applied on the server side, and the device includes:

The request receiving unit receives the ticket collection request sent by the ticket collection terminal, and the ticket collection request includes: ticket collection face image, ticket service provider information and ticket usage time;

The image judging unit, in the face image library corresponding to the ticket service provider and the ticket use time, judges whether the face image for taking tickets is consistent with a certain real face in the face image library through a face recognition algorithm Image matching, and judging whether the face image for getting tickets is a live face image;

The first notification unit, when the ticket-collecting face image matches a real face image in the face image database, and the ticket-collecting face image is a live face image, notify the ticket-collecting terminal to process the ticket Print.

It can be seen from the above description that after receiving the ticket collection request sent by the ticket collection terminal, the server of this application can determine that there is a certain real face image and When the face image of the ticket collection matches, the ticket collection terminal is notified to print the ticket. The face image library is divided based on the two dimensions of ticket service provider and ticket usage time, which greatly reduces the number of real face images stored in the face image library, improves the efficiency and accuracy of face recognition, and thus improves user usage. Face recognition ticket collection experience. At the same time, the server can perform liveness detection on the ticket collection face images collected by the ticket collection terminal, which effectively prevents illegal personnel from using photos to steal the user's ticket and maintains the user's property and information security.

Description of drawings

Fig. 1 is a schematic flowchart of a method for obtaining an electronic bill according to an exemplary embodiment of the present application.

Fig. 2 is a schematic flowchart of another electronic ticket collection method shown in an exemplary embodiment of the present application.

Fig. 3 is a schematic structural diagram of a ticket collection device for electronic tickets shown in an exemplary embodiment of the present application.

Fig. 4 is a structural block diagram of an electronic ticket collection device shown in an exemplary embodiment of the present application.

detailed description

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.

The terminology used in this application is for the purpose of describing particular embodiments only, and is not intended to limit the application. As used in this application and the appended claims, the singular forms "a", "the", and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should also be understood that the term "and/or" as used herein refers to and includes any and all possible combinations of one or more of the associated listed items.

It should be understood that although the terms first, second, third, etc. may be used in this application to describe various information, the information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, without departing from the scope of the present application, first information may also be called second information, and similarly, second information may also be called first information. Depending on the context, the word "if" as used herein may be interpreted as "at" or "when" or "in response to a determination."

Fig. 1 is a schematic flowchart of a method for obtaining an electronic bill according to an exemplary embodiment of the present application.

Please refer to Fig. 1, the ticket collection method of the electronic ticket can be applied on the server side, including the following steps:

Step 101 , receiving a ticket collection request sent by a ticket collection terminal, the ticket collection request including: ticket collection face image, ticket service provider information and ticket usage time.

In this embodiment, when the user collects the ticket at the ticket collection terminal, he can click the face-swipe ticket collection button provided on the ticket collection terminal user interface. After the ticket collection terminal detects the above click command, it can turn on the 3D camera to collect the user's personal information The face image, for ease of description, the face image collected by the 3D camera may be referred to as the ticket-taking face image. Optionally, after the user clicks the button to collect tickets by swiping the face, the ticket collection terminal can output a guide page, prompting the user to collect the precautions when collecting the face image of the ticket, such as: facing the 3D camera, etc.

In this embodiment, the ticket collection terminal may send a ticket collection request to the server. The ticket collection request usually includes: the collected face image of the ticket collection person, ticket service provider information, and ticket usage time. Wherein, the facial image of ticket collection may include: 3D facial image of ticket collection and 2D facial image of ticket collection, such as: after the 3D camera of the ticket collection terminal collects the facial image of ticket collection, the The face images for ticket collection are saved as 3D ticket collection face images and 2D ticket collection face images respectively. The bill service provider is usually a merchant that provides services for the use of the bill. Taking the bill as an example of a movie ticket, the corresponding bill service provider is usually a movie theater. For example, the ticket collection terminal of Wanda Cinema will be at The Wanda Cinema logo is included in the ticket collection request. The ticket usage time may be the date when the user performs the ticket collection operation.

In this embodiment, the ticket collection terminal may, after collecting the ticket collection face image, send the ticket collection face image, ticket service provider information, and ticket usage time to the server together with the ticket collection request, The ticket collection terminal can also carry the above information in two or more ticket collection requests and send them to the server respectively, which is not particularly limited in this application.

Step 102, in the face image library corresponding to the ticket service provider and the ticket use time, judge whether the face image for collecting tickets is consistent with a certain real face image in the face image library through a face recognition algorithm match, and judge whether the face image for collecting tickets is a live face image.

Based on the aforementioned step 101, after receiving the ticket request, the server can first determine the face image library corresponding to the ticket service provider and the ticket usage time, and then judge the face image database in the face image library through a face recognition algorithm. Whether there is a real face image that matches the ticket-collecting face image. In this step, the server can also judge whether the facial image of the person who collects the ticket is a living human facial image.

Optionally, the server can first perform the judgment of the face image matching of the ticket collection, or the detection of the live face image first, and the server can also use parallel threads to simultaneously judge the face image matching of the ticket collection and the live face image The detection of images is not particularly limited in this application.

In this embodiment, when the face image for ticket collection includes a 3D face image and a 2D face image, the server can detect a live face image based on the 3D face image for ticket collection, for example: through three-dimensional The depth information analysis algorithm, the facial flow analysis algorithm, etc. perform the detection of the live face image on the 3D ticket collection face image. The service end can carry out the matching of the real face image according to the face image of the 2D ticket collection, such as: judging the 2D ticket collection person by LBP (Local Binary Patterns, local binary pattern) algorithm, eigenface algorithm (Eigenface) etc. Whether the face image matches the real face image stored in the face image database.

Step 103, when the face image for ticket collection matches a real face image in the face image database, and the face image for ticket collection is a live face image, notify the ticket collection terminal to print the ticket.

Based on the foregoing step 102, when the server determines that the ticket-taking face image matches a certain real face image in the face image library, and the ticket-taking face image is a live face image, it can pass the The ticket terminal prints the ticket. For example, it can search for the ticket information corresponding to the real face image, and then return the ticket information to the ticket collection terminal. After receiving the ticket information, the ticket collection terminal can print and output the corresponding ticket information. the ticket to the user.

It can be seen from the above description that after receiving the ticket collection request sent by the ticket collection terminal, the server of this application can determine that there is a certain real face image and When the face image of the ticket collection matches, the ticket collection terminal is notified to print the ticket. The face image library is divided based on the two dimensions of ticket service provider and ticket usage time, which greatly reduces the number of real face images stored in the face image library, improves the efficiency and accuracy of face recognition, and thus improves user usage. Face recognition ticket collection experience. At the same time, the server can perform liveness detection on the ticket collection face images collected by the ticket collection terminal, which effectively prevents illegal personnel from using photos to steal the user's ticket and maintains the user's property and information security.

Fig. 2 is a schematic flowchart of another electronic ticket collection method shown in an exemplary embodiment of the present application.

Please refer to Figure 2, the method for obtaining tickets for electronic tickets can be applied on the server side, including the following steps:

Step 201, receiving ticket information of a ticket purchased by a user, the ticket information including ticket usage time and ticket service provider information.

In this embodiment, based on the registered user account, the user can purchase or issue an electronic bill through an APP (Application, application program) loaded in the user terminal. Taking the purchase of movie tickets by a user as an example, the user can register a user account in an app that supports movie ticket sales, and then purchase movie tickets based on the registered user account. After the user successfully purchases a movie ticket, the server will receive relevant information about the user's transaction: for example: account ID, transaction time, movie ticket information, payment information, user terminal information, etc. For the processing and implementation of this part, reference may be made to related technologies, and the present application will not repeat them one by one here.

In this embodiment, after the user successfully purchases the ticket, the server may acquire the ticket usage time and ticket service provider information from the ticket information of the ticket. Wherein, the ticket use time is usually the day or week when the ticket is actually used, and can be set by the developer. Taking a user purchasing a movie ticket as an example, the usage time is usually the date the user watched the movie, and the ticket service provider information is usually the theater information of the user watching the movie, such as the theater logo.

Step 202, establishing a face image library corresponding to the ticket service provider and ticket usage time.

Based on the aforementioned step 201, after obtaining the bill usage time and bill service provider information, the server can first judge whether the face image library corresponding to the bill service provider and the bill usage time has been established, if not If established, a face image library corresponding to the ticket service provider and ticket usage time may be established based on the two dimensions of ticket service provider and ticket usage time. If established, step 203 may be continued.

For example, assuming that the user purchased a movie ticket for Wanda Studios, and the show information is "The Revenant" starting at 12:30 on April 18, 2016, then the ticket service provider is Wanda Studios, and the ticket service The provider information may be the logo of Wanda Cinemas, and the ticket was used on April 18, 2016. The server can establish a face image library corresponding to Wanda Studios and April 18, 2016.

Step 203, according to the real-name account that purchased the ticket, obtain the real face image corresponding to the real-name account from the public security network.

In this embodiment, after the user successfully purchases the ticket, the server can extract the user's identity information from the real-name account used by the user. The identity information is usually the user's ID number and other information that can uniquely identify the user's identity. After the user's identity information is extracted, the real face image corresponding to the identity information can be obtained from the public security network. Wherein, the public security network stores real information of citizens collected by the Ministry of Public Security, such as names, ID numbers, photos, and the like.

In this embodiment, the server can obtain the real face image corresponding to the identity information from the public security network through the open interface of the public security network, without the need for the user to upload the face image by himself, which greatly reduces the user's operation, and can also ensure the acquisition The obtained face images are real and effective.

Step 204, storing the real face image in the face image library corresponding to the ticket service provider and the ticket usage time.

Based on the aforementioned step 203, after the server acquires the real face image, it can store the real face image in the established face image library corresponding to the ticket service provider and ticket usage time. Wherein, the bill information generally includes: merchant identification, time information, bill content, and the like. Still taking a movie ticket as an example, the ticket information usually includes: movie theater logo, viewing times, viewing time, viewing seat number, etc.

In this embodiment, after the server obtains the real face image, it can extract real face features from the real face image, and then store the real face features in the above-mentioned face image database , to facilitate subsequent comparisons.

It should be noted that, in this embodiment, when the user account is a real-name account, the technical solution provided in step 203 can be used to obtain the user's real face image from the public security network according to the user's ID number. If the user account has not passed the real-name verification, the user can upload his own face image in advance, and the server can bind the face image uploaded by the user to the user account. After the user successfully purchases the ticket, the server can obtain the user account. The specified human face image is used as the real human face image, and this application does not make special restrictions on this.

In this embodiment, the server can establish a face image library based on the ticket service provider and ticket usage time, which greatly reduces the number of real face images stored in each face image library, and can improve the speed of face recognition. and accuracy, thereby improving the user experience.

Step 205: Receive the ticket collection request sent by the ticket collection terminal, the ticket collection request includes: ticket collection face image, ticket service provider information and ticket usage time.

In this embodiment, the user can print the ticket purchased or issued by the user through the self-service ticket collection terminal. Still taking the movie ticket as an example, the user can arrive at the movie theater in advance and print the movie ticket purchased online through the ticket collection terminal of the movie theater. In one example, the screen of the theater’s ticket collection terminal will display buttons corresponding to various ticket collection methods, such as: ticket collection with verification code, ticket collection with QR code, ticket collection with face recognition, etc. Users who purchase movie tickets can click Swipe your face to get a ticket button, after the ticket collection terminal detects the user's above-mentioned click instruction, you can turn on the 3D camera to collect the face image of the ticket collection.

In this embodiment, after the 3D camera of the ticket collection terminal collects the ticket collection face image of the ticket collection person, the ticket collection face image is saved as a 3D ticket collection face image and a 2D ticket collection face image , and then send the 3D ticket collection face image, 2D ticket collection face image, theater information and the date of the day to the server in the ticket collection request.

Step 206, judging whether the face image of the ticket collector is a live face image, if not, execute step 210.

Based on the aforementioned step 205, after the server receives the ticket collection request, it can judge whether the ticket collection face image is a live human face image according to the 3D ticket collection face image, if not, step 210 can be performed, if If yes, you can proceed to the next steps.

Step 207, in the face image library corresponding to the ticket service provider and the ticket use time, judge whether the face image for collecting tickets is consistent with the real face image stored in the face image library through a face recognition algorithm match.

Based on the aforementioned step 205, after receiving the ticket collection request, the server can first determine the facial image of the ticket collection and the facial image library corresponding to the ticket, and then judge the 2D ticket collection through a face recognition algorithm. Whether the ticket face image matches with each real face image stored in the face image database.

In this embodiment, the server stores the real face features of the real face image in the face image database as an example. In this step, the server can extract the Get the face features of the ticket, and then compare them with the stored real face features in order to find the real face image that matches the face image of the ticket. Describe the comparison score value of the face feature for ticket collection, and then determine the real face feature whose score value reaches the preset threshold as the feature of the real face image matching the face image for ticket collection. In this step, the server can use the face recognition algorithm provided in the related art to perform the above-mentioned feature extraction and comparison, and this application will not repeat them here.

Step 208, if the face image of the ticket collector only matches a real face image, step 209 may be executed.

In this embodiment, after traversing the stored real face images, if the server determines that the ticket-collecting face image matches only one real face image, step 209 may be performed.

Step 209, when the ticket collection terminal is a live face image, notify the ticket collection terminal to print the ticket.

In this embodiment, when it is determined that the ticket-collecting face image is a live face image, the ticket information of the ticket purchased by the real-name account may be obtained, and then the ticket information is returned to the ticket-collecting terminal, After receiving the ticket information, the ticket collection terminal can print and output the ticket information for the user to collect.

Step 210, when the ticket-taking face image does not match any real face image in the face image library, or matches two or more real face images, or the ticket-taking face image If the live face image detection fails, the ticket collection terminal will be notified that the ticket cannot be printed.

In this embodiment, after the server has traversed all the real face images stored in the face image library, if it is determined that the ticket-taking face image does not match any real face image, it can notify Ticket collection terminals cannot print tickets. If it is determined that the ticket-collecting face image matches two or more real face images in the face image database, for example: the server determines that the ticket-collecting face image matches two real face images, It means that there are two real face images that are very similar to the ticket-collecting face images. At this time, it is impossible to accurately determine which real face image is the ticket-collecting person. Therefore, in order to prevent printing out wrong tickets, the server can also Inform the ticket collection terminal that ticket printing cannot be performed. If the server confirms that the ticket collection face image is not a live face image after detection, it means that someone may use the photo of the legal ticket collector to collect the ticket, and there is a risk of ticket theft. The server can also notify the ticket collection terminal that it cannot proceed. Ticket printing.

In this embodiment, the server may return the ticket collection failure information to the ticket collection terminal, and the ticket collection terminal may output a ticket collection failure prompt after receiving the ticket collection failure information. Optionally, the server may also prompt the user to re-collect the face image, or prompt the user to collect the receipt in other ways, which is not particularly limited in this application.

Optionally, in another example of the present application, the server can also delete the real face images saved in the face image library when the ticket usage time has expired. Real face images corresponding to the movie are deleted from the face image database on the day of the theater. The processing and implementation of this part can refer to related technologies, and this application will not repeat them here.

Optionally, in another example of the present application, the server can send the face image library storing real face images to the ticket collection terminal, and the ticket collection terminal can save the face image library locally, and then After collecting the ticket-taking face image, it is possible to judge whether the ticket-taking face image is a live human face image, and judge whether the ticket-taking face image is consistent with a certain real face image in the face image library. match. In such an implementation, there are fewer real face images stored in the face image library established based on the two dimensions of ticket usage time and ticket service provider, so the requirements for the processing performance of the ticket collection terminal are not high, which is convenient for implementation. At the same time, the matching process of live face image detection and face recognition is performed by the ticket collection terminal, which can reduce the processing pressure on the server.

Corresponding to the foregoing embodiments of the electronic ticket collection method, the present application also provides embodiments of an electronic ticket collection device.

The embodiment of the electronic ticket collection device of this application can be applied on the server side. The device embodiments can be implemented by software, or by hardware or a combination of software and hardware. Taking software implementation as an example, as a device in a logical sense, it is formed by reading the corresponding computer program instructions in the non-volatile memory into the memory through the processor at the server where it is located to run. From the hardware level, as shown in Figure 3, it is a hardware structure diagram of the server where the ticket collection device of the application is located, except for the processor, memory, network interface, and non-volatile memory shown in Figure 3 In addition, the server where the device in the embodiment is located usually may also include other hardware according to the actual function of the server, which will not be repeated here.

Fig. 4 is a structural block diagram of an electronic ticket collection device shown in an exemplary embodiment of the present application.

Please refer to Fig. 4, the ticket collection device 300 of the electronic bill may include: a request receiving unit 301, an image judgment unit 302, a first notification unit 303, an information receiving unit 304, an image acquisition unit 305, an image storage unit 306 and a second Notification unit 307 .

Wherein, the request receiving unit 301 receives the ticket collection request sent by the ticket collection terminal, the ticket collection request includes: ticket collection face image, ticket service provider information and ticket usage time;

The image judging unit 302, in the face image library corresponding to the ticket service provider and the ticket usage time, judges whether the ticket-taking face image is consistent with one of the face images in the face image library through a face recognition algorithm. The real face image is matched, and it is judged whether the ticket-taking face image is a live face image;

The first notification unit 303, when the ticket-collecting face image matches a real face image in the face image library, and the ticket-collecting face image is a live face image, notify the ticket-collecting The terminal prints the receipt.

The information receiving unit 304 receives the ticket information of the ticket purchased by the user, and the ticket information includes ticket usage time and ticket service provider information;

The image acquisition unit 305 obtains the real face image corresponding to the real-name account from the public security network according to the real-name account that purchased the ticket;

The image storage unit 306 stores the real face image in the face image library corresponding to the ticket service provider and the ticket usage time.

Optionally, the first notification unit 303 specifically sends the ticket information to the ticket collection terminal, so that the ticket collection terminal can print the ticket.

In the second notification unit 307, any real face image in the ticket collection face image does not match with the face image library, or two or more real face images match, or the When the ticket-collecting face image fails the live face image detection, notify the ticket-collecting terminal that the ticket cannot be printed.

Optionally, the facial images for ticket collection include: 3D facial images for ticket collection and 2D facial images for ticket collection;

Wherein, the 3D ticket-taking face image is used for live face image detection, and the 2D ticket-taking face image is used for matching with the real face image.

For the implementation process of the functions and effects of each unit in the above device, please refer to the implementation process of the corresponding steps in the above method for details, and will not be repeated here.

As for the device embodiment, since it basically corresponds to the method embodiment, for the related parts, please refer to the part of the description of the method embodiment. The device embodiments described above are only illustrative, and the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in One place, or it can be distributed to multiple network elements. Part or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this application. It can be understood and implemented by those skilled in the art without creative effort.

The above is only a preferred embodiment of the application, and is not intended to limit the application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the application should be included in the application. within the scope of protection.

Claims (10)

1. a kind of method of getting tickets of electronic bill, is applied in service end, it is characterised in that methods described bag Include：

The request of getting tickets for terminal transmission of getting tickets is received, the request of getting tickets includes：Get tickets facial image, Ticketing services provider information and bill use time；

In the ticketing services provider and the corresponding facial image database of bill use time, known by face Other algorithm judge described in get tickets facial image whether with a certain real human face image in the facial image database Matching, and whether facial image of being got tickets described in judgement is living body faces image；

When a certain real human face images match in get tickets facial image and the facial image database, and institute When stating facial image of getting tickets for living body faces image, terminal of being got tickets described in notice carries out bill printing.

2. according to the method described in claim 1, it is characterised in that methods described also includes：

The billing information that user buys bill is received, the billing information includes bill use time and bill Service provider information；

Real name account according to the bill is bought from public security net obtains the corresponding real human face figure of the real name account Picture；

The real human face image is stored in the ticketing services provider and the corresponding face of bill use time In image library.

3. method according to claim 2, it is characterised in that terminal of being got tickets described in the notice is entered Row bill printing, including：

The billing information is sent to the terminal of getting tickets, so that the terminal of getting tickets carries out bill printing.

4. according to the method described in claim 1, it is characterised in that methods described also includes：

When any real human face image is all mismatched in get tickets facial image and the facial image database, Two or more real human face images or the facial image of getting tickets either are matched not by live body When facial image is detected, notice terminal of getting tickets can not carry out bill printing.

5. according to the method described in claim 1, it is characterised in that

The facial image of getting tickets includes：3D gets tickets facial image and 2D gets tickets facial image；

Wherein, 3D facial images of getting tickets are used for living body faces image detection, and the 2D gets tickets face Image is used to be matched with the real human face image.

6. a kind of device of getting tickets of electronic bill, is applied in service end, it is characterised in that described device bag Include：

Request reception unit, receives the request of getting tickets for terminal transmission of getting tickets, and the request of getting tickets includes： Get tickets facial image, ticketing services provider information and bill use time；

Image judging unit, in the ticketing services provider and the corresponding facial image database of bill use time In, by face recognition algorithms judge described in get tickets facial image whether with certain in the facial image database One real human face images match, and whether facial image of being got tickets described in judgement is living body faces image；

First notification unit, when a certain real human face image in get tickets facial image and the facial image database Matching, and the facial image of getting tickets for living body faces image when, notify the terminal progress bill of getting tickets Printing.

7. device according to claim 6, it is characterised in that described device also includes：

Information receiving unit, receives the billing information that user buys bill, and the billing information makes including bill With time and ticketing services provider information；

Image acquisition unit, from public security net the real name account pair is obtained according to the real name account for buying the bill The real human face image answered；

Image storage unit, is stored in the ticketing services provider by the real human face image and bill is used In time corresponding facial image database.

8. device according to claim 7, it is characterised in that

First notification unit, is specifically sent to the terminal of getting tickets, for institute by the billing information State terminal of getting tickets and carry out bill printing.

9. device according to claim 6, it is characterised in that described device also includes：

Second notification unit, any real human face in get tickets facial image and the facial image database Image is all mismatched, and either matches two or more real human face images or the face of getting tickets When image is not by living body faces image detection, notice terminal of getting tickets can not carry out bill printing.

10. device according to claim 6, it is characterised in that

The facial image of getting tickets includes：3D gets tickets facial image and 2D gets tickets facial image；

Wherein, 3D facial images of getting tickets are used for living body faces image detection, and the 2D gets tickets face Image is used to be matched with the real human face image.