CN105912915A - Fingerprint unlocking method and terminal - Google Patents

Abstract

The embodiment of the present invention discloses a fingerprint unlocking method, comprising: acquiring a fingerprint image; judging whether the fingerprint image is an image of a dry finger or an image of a wet finger; when the fingerprint image is an image of the dry finger or the image of the When the image of the finger is wet, reduce the matching threshold; match the fingerprint image with the preset fingerprint template; when the matching value between the fingerprint image and the preset fingerprint template is greater than the reduced matching threshold, Unlock the terminal. The embodiment of the present invention also provides a terminal. When the present invention is implemented, since the matching threshold is lowered, when the fingerprint image is an image of a dry finger or an image of a wet finger, it is more conducive to improving the fingerprint unlocking efficiency.

Description

A fingerprint unlocking method and terminal

technical field

The invention relates to the technical field of electronic equipment, in particular to a fingerprint unlocking method and a terminal.

Background technique

With the rapid development of information technology, the use of terminals (such as mobile phones, tablet computers, etc.) is becoming more and more popular. As a standard technology on the terminal, fingerprint recognition technology can be widely used not only in unlocking, waking up, mobile payment, etc. of the terminal. While the fingerprint recognition technology is popular, in order to achieve fast unlocking, the unlocking time of the terminal is also a direct concern of the terminal manufacturer.

In practical applications, users often find that when the fingers are too dry or too wet, it is necessary to press the fingerprint identification module several times to unlock successfully, thus reducing the efficiency of fingerprint unlocking.

Contents of the invention

Embodiments of the present invention provide a fingerprint unlocking method and a terminal, which can improve the efficiency of fingerprint unlocking.

The embodiment of the present invention discloses a fingerprint unlocking method, including:

Get fingerprint image;

judging whether the fingerprint image is an image of a dry finger or an image of a wet finger;

When the fingerprint image is an image of the dry finger or an image of the wet finger, lowering the matching threshold;

matching the fingerprint image with a preset fingerprint template;

When the matching value between the fingerprint image and the preset fingerprint template is greater than the reduced matching threshold, the terminal is unlocked.

As an optional implementation manner, the judging whether the fingerprint image is an image of a dry finger or an image of a wet finger includes:

extracting feature points of the fingerprint image;

Judging whether the number of feature points of the fingerprint image is less than a first preset threshold, and if so, determining that the fingerprint image is an image of the dry finger or an image of the wet finger.

As an optional implementation manner, the judging whether the fingerprint image is an image of a dry finger or an image of a wet finger includes:

extracting feature points of a partial region of the fingerprint image;

calculating the number of feature points per unit area based on the number of feature points in the partial area;

Judging whether the number of feature points per unit area is less than a second preset threshold, and if so, confirming that the fingerprint image is the image of the dry finger or the image of the wet finger.

As an optional implementation manner, the extracting feature points of a partial region of the fingerprint image includes:

dividing the fingerprint image into a plurality of independent regions,

Feature points of at least one independent area among the plurality of independent areas are extracted.

As an optional implementation manner, before the lowering of the matching threshold, the method further includes:

Matching the fingerprint image with a preset fingerprint template to obtain a matching value;

Judging whether the matching value is within a preset range, if yes, performing the step of lowering the matching threshold.

As an optional implementation manner, the lowering the matching threshold includes:

Determine the sharpness ratio between the sharpness of the fingerprint image and the preset fingerprint template:

The matching threshold is lowered according to the sharpness ratio.

As an optional implementation, the acquisition of fingerprint images includes:

When the user presses the fingerprint identification module, determine the collection area of the fingerprint identification module;

The n2 normal underlying data values are acquired through the n2 normal sensing electrodes in the collection area, the n1 abnormal underlying data values are acquired through the n1 abnormal sensing electrodes in the acquisition area, and the n1 abnormal underlying data values value and the n2 normal underlying data values are the fingerprint image, the sensing electrode array of the fingerprint recognition module includes at least the n1 abnormal sensing electrodes and the n2 normal sensing electrodes, the n1, the n2 is a positive integer;

According to the n2 normal underlying data values collected by the n2 normal sensing electrodes of the fingerprint recognition module, determine the n1 underlying repair data values corresponding to the n1 abnormal sensing electrodes;

Generate a fingerprint image according to the n2 normal underlying data values and the n1 underlying repair data values.

Optionally, according to the n2 normal underlying data values collected by the n2 normal sensing electrodes of the fingerprint identification module, the n1 underlying repair data corresponding to the n1 abnormal sensing electrodes are determined values, including:

Dividing the acquisition area into a plurality of independent areas, wherein each independent area in the plurality of independent areas includes a plurality of the normal underlying data values collected by the normal sensing electrodes and at least one of the abnormal data values collected by the abnormal The abnormal underlying data value collected by the sensing electrode;

determining the mean value of all the normal underlying data values in the independent area i, and using the mean value as the underlying repair data value corresponding to the abnormal sensing electrode in the independent area i, wherein the independent area i is Any one of the plurality of independent regions.

The second aspect of the embodiment of the present invention provides a terminal, including:

an acquisition unit, configured to acquire a fingerprint image;

a first judging unit, configured to judge whether the fingerprint image acquired by the acquiring unit is an image of a dry finger or an image of a wet finger;

A lowering unit, configured to lower the matching threshold when the first judging unit judges that the fingerprint image is the image of the dry finger or the image of the wet finger;

a first matching unit, configured to match the fingerprint image acquired by the acquisition unit with a preset fingerprint template;

An unlocking unit, configured to unlock the terminal when the matching value between the fingerprint image and the preset fingerprint template is greater than the reduced matching threshold.

As an optional implementation manner, the first judging unit includes:

The first extraction module is used to extract the feature points of the fingerprint image;

A first judgment module, configured to judge whether the number of feature points of the fingerprint image extracted by the first extraction module is less than a first preset threshold, and if so, determine that the fingerprint image is an image of the dry finger or Image of the wet finger.

As an optional implementation manner, the first judging unit includes:

The second extraction module is used to extract the feature points of the partial area of the fingerprint image;

A calculation module, configured to calculate the number of feature points per unit area based on the number of feature points in the partial region extracted by the second extraction module;

The second judging module is used to judge whether the number of feature points per unit area calculated by the computing module is less than a second preset threshold, and if so, confirm that the fingerprint image is the image of the dry finger or the Image of wet fingers.

As an optional implementation manner, the second extraction module includes:

a block module, configured to divide the fingerprint image into a plurality of independent regions,

A third extraction module, configured to extract feature points of at least one independent area among the plurality of independent areas divided by the blocking module.

As an optional implementation manner, the terminal further includes:

a second matching unit, configured to match the fingerprint image acquired by the acquisition unit with a preset fingerprint template to obtain a matching value;

The second judging unit is configured to judge whether the matching value matched by the second matching unit is within a preset range, and if the judging result of the second judging unit is yes, the lowering unit lowers the matching threshold.

As an optional implementation, the lowering unit includes:

A determining module, configured to determine the sharpness ratio between the sharpness of the fingerprint image and the preset fingerprint template:

A reducing module, configured to reduce the matching threshold according to the sharpness ratio.

As an optional implementation manner, the acquiring unit includes:

The fourth determination module is used to determine the collection area of the fingerprint identification module when the user presses the fingerprint identification module;

The first acquisition module acquires the n2 normal underlying data values through the n2 normal sensing electrodes in the acquisition area, acquires the n1 abnormal underlying data values through the n1 abnormal sensing electrodes in the acquisition area, and the The n1 abnormal underlying data values and the n2 normal underlying data values are the fingerprint image, and the sensing electrode array of the fingerprint recognition module includes at least the n1 abnormal sensing electrodes and the n2 normal sensing electrodes, so Said n1, said n2 are positive integers;

A repair module, configured to determine the n1 underlying repair data values corresponding to the n1 abnormal sensing electrodes according to the n2 normal underlying data values collected by the n2 normal sensing electrodes of the fingerprint identification module ;

A generating module, configured to generate a fingerprint image according to the n2 normal underlying data values and the n1 underlying repair data values.

Optionally, the repair module includes:

A blocking module, configured to divide the collection area into a plurality of independent areas, wherein each independent area in the plurality of independent areas includes a plurality of the normal underlying data values collected by the normal sensing electrodes and at least one abnormal underlying data value collected by the abnormal sensing electrode;

The fifth determination module is configured to determine the mean value of all the normal bottom layer data values in the independent area i, and use the mean value as the bottom layer repair data value corresponding to the abnormal sensing electrode in the independent area i, Wherein the independent area i is any one of the plurality of independent areas.

The third aspect of the embodiment of the present invention also provides a terminal, including:

A processor, a memory, a communication interface, a fingerprint recognition module and a communication bus, the processor, the memory, the fingerprint recognition module and the communication interface are connected through the communication bus and complete mutual communication;

The memory stores executable program codes, the fingerprint identification module is used to acquire fingerprint images, and the communication interface is used for wireless communication;

The processor is configured to call the executable program code in the memory to execute any one of the methods provided in the embodiments of the present invention.

The fourth aspect of the embodiments of the present invention also provides a terminal, including: a processor, a memory, and a fingerprint recognition module, wherein the processor is configured to execute any one of the methods provided in the embodiments of the present invention.

The third aspect of the embodiment of the present invention provides a terminal, including:

A processor, a memory, a communication interface, a fingerprint recognition module and a communication bus, the processor, the memory, the fingerprint recognition module and the communication interface are connected through the communication bus and complete mutual communication;

The memory stores executable program codes, the fingerprint identification module is used to acquire fingerprint images, and the communication interface is used for wireless communication;

The processor is configured to call the executable program code in the memory, and execute some or all steps of the method described in the first aspect provided by the embodiments of the present invention.

Implementing the embodiment of the present invention has the following beneficial effects:

It can be seen that, in the embodiment of the present invention, by acquiring a fingerprint image, when the fingerprint image is an image of a dry finger or a wet finger image, the matching threshold is lowered, the fingerprint image is matched with a preset fingerprint template, and When the matching value between the image and the preset fingerprint template is greater than the reduced matching threshold, the terminal is unlocked. Therefore, since the matching threshold is lowered, when the fingerprint image is an image of a dry finger or an image of a wet finger, it is more conducive to improving the fingerprint unlocking efficiency.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings that need to be used in the embodiments. Obviously, the drawings in the following description are some embodiments of the present invention. Those of ordinary skill in the art can also obtain other drawings based on these drawings without any creative effort.

FIG. 1 is a schematic flowchart of a first embodiment of a fingerprint unlocking method disclosed in an embodiment of the present invention;

FIG. 2 is a schematic flowchart of a second embodiment of a fingerprint unlocking method disclosed in an embodiment of the present invention;

Fig. 3a is a schematic structural diagram of a first embodiment of a terminal disclosed in an embodiment of the present invention;

Fig. 3b is a schematic structural diagram of a first judging unit of the terminal described in Fig. 3a disclosed in an embodiment of the present invention;

Fig. 3c is a schematic structural diagram of a first judging unit of the terminal described in Fig. 3a disclosed in an embodiment of the present invention;

Fig. 3d is another schematic structural diagram of the first embodiment of a terminal disclosed in the embodiment of the present invention;

Fig. 3e is a schematic structural diagram of a lowering unit of the terminal described in Fig. 3a disclosed by an embodiment of the present invention;

FIG. 4 is a schematic structural diagram of a second embodiment of a terminal disclosed in an embodiment of the present invention;

Fig. 5 is a schematic structural diagram of a mobile phone disclosed in an embodiment of the present invention.

detailed description

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. 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.

The terms "first", "second", "third" and "fourth" in the description and claims of the present invention and the drawings are used to distinguish different objects, rather than to describe a specific order . Furthermore, the terms "include" and "have", as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but optionally also includes unlisted steps or units, or optionally further includes For other steps or units inherent in these processes, methods, products or apparatuses.

Reference herein to an "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present invention. The occurrences of this phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is understood explicitly and implicitly by those skilled in the art that the embodiments described herein can be combined with other embodiments.

The terminal described in the embodiment of the present invention may include a smart phone (such as an Android phone, an iOS phone, a Windows Phone, etc.), a tablet computer, a palmtop computer, a notebook computer, a mobile Internet device (MID, Mobile Internet Devices) or a wearable device, etc. , the above-mentioned terminals are only examples, not exhaustive, including but not limited to the above-mentioned terminals.

Please refer to FIG. 1 , which is a schematic flowchart of a first embodiment of a fingerprint unlocking method provided by an embodiment of the present invention. The fingerprint unlocking method described in this embodiment includes the following steps:

101. Acquire a fingerprint image.

In the specific implementation, when the user presses the fingerprint recognition module, the collection range of the fingerprint recognition module can be determined, and the collection range can be divided into multiple areas, and the area corresponding to the area with the largest signal-to-noise ratio among the multiple areas can be obtained. fingerprint image.

Optionally, the fingerprint image may be a fingerprint image collected when the user presses the fingerprint identification module, or may be a fingerprint image stored locally.

Further optionally, the fingerprint image may be a fingerprint image of one finger of the user or fingerprint images of multiple fingers.

Optionally, when the user presses the fingerprint identification module, the effective range of the fingerprint identification module pressed by the user can be determined; the fingerprint identification module is controlled to collect pixels within the effective range as the fingerprint image. Further, it is possible to detect the pressing force with which the user touches each collection point in the fingerprint recognition module; and determine the collection points with the pressing force of each collection point greater than a certain threshold as the valid range. That is, the fingerprint identification module and the pressure sensor can be combined together, then, when the fingerprint identification module is pressed, the pressure sensor can detect the pressing force of each collection point in the fingerprint identification module, and determine that the pressing force is greater than the The image formed by the collection points of a certain threshold is the fingerprint image.

Optionally, the way to obtain the fingerprint image can also be as follows:

When the user presses the fingerprint identification module, determine the collection area of the fingerprint identification module;

The n2 normal underlying data values are acquired through the n2 normal sensing electrodes in the collection area, the n1 abnormal underlying data values are acquired through the n1 abnormal sensing electrodes in the acquisition area, and the n1 abnormal underlying data values value and the n2 normal underlying data values are the fingerprint image, the sensing electrode array of the fingerprint recognition module includes at least the n1 abnormal sensing electrodes and the n2 normal sensing electrodes, the n1, the n2 is a positive integer;

According to the n2 normal underlying data values collected by the n2 normal sensing electrodes of the fingerprint recognition module, determine the n1 underlying repair data values corresponding to the n1 abnormal sensing electrodes;

Generate a fingerprint image according to the n2 normal underlying data values and the n1 underlying repair data values.

Optionally, according to the n2 normal underlying data values collected by the n2 normal sensing electrodes of the fingerprint identification module, the n1 underlying repair data corresponding to the n1 abnormal sensing electrodes are determined value, which can be:

Dividing the acquisition area into a plurality of independent areas, wherein each independent area in the plurality of independent areas includes a plurality of the normal underlying data values collected by the normal sensing electrodes and at least one of the abnormal data values collected by the abnormal The abnormal underlying data value collected by the sensing electrode;

determining the mean value of all the normal underlying data values in the independent area i, and using the mean value as the underlying repair data value corresponding to the abnormal sensing electrode in the independent area i, wherein the independent area i is Any one of the plurality of independent regions. In this way, the normal underlying data values of the normal sensing electrodes in any independent area can be used to repair the abnormal underlying data values in the independent area, thereby making the fingerprint image quality better. In this way, better fingerprint images can be extracted. many feature points.

102. Determine whether the fingerprint image is an image of a dry finger or an image of a wet finger.

In the specific implementation, since the fingerprint lines in the fingerprint image of the dry finger are intermittent, and the fingerprint image of the fingerprint image of the wet finger has a larger area, the fingerprint lines are blurred, and the fingerprint lines are almost indistinguishable. Therefore, by analyzing the fingerprint image, It is judged whether the fingerprint image is from a dry finger or a wet finger.

Optionally, it is possible to determine whether the fingerprint image is from a dry finger or a wet finger by extracting texture features of the fingerprint image. If the lines of the fingerprint image are intermittent, the fingerprint image belongs to a dry finger, and if there is a large area of blurred fingerprint lines in the fingerprint image, then the fingerprint image belongs to a wet finger.

Optionally, feature points of the fingerprint image can be extracted; judge whether the number of feature points of the fingerprint image is less than a first preset threshold, if so, determine that the fingerprint image is the image of the dry finger or the wet finger Image of fingers.

Optionally, the feature points of the partial area of the fingerprint image can be extracted; the number of feature points per unit area is calculated based on the number of feature points of the partial area; whether the number of feature points per unit area is judged is less than a second preset threshold, and if so, confirm that the fingerprint image is the image of the dry finger or the image of the wet finger. Wherein, the step of extracting feature points of partial areas of the fingerprint image may include: dividing the fingerprint image into multiple independent areas, and extracting feature points of at least one independent area among the multiple independent areas.

Optionally, feature points of a partial area of the fingerprint image may be extracted; determine whether the number of feature points of the fingerprint image is less than a preset threshold, and if so, determine that the fingerprint image is an image of a dry finger or a wet finger. Wherein, the partial area may be a designated area in the fingerprint image, for example, an area of a preset size with the center of the fingerprint image as a dot. Part of the area can be a random area in the fingerprint image. Wherein, the preset threshold may be a fixed threshold, or the preset threshold may be related to the area of the fingerprint image.

Optionally, the number of feature points of the extracted fingerprint image can be used to determine whether it is within a preset range. Wherein, the preset range may be smaller than the first threshold, for example, the first threshold may be a certain percentage of the number of characteristic points of the preset fingerprint image, for example, 50%, or the first threshold is a default value of the system value. Further, the preset range may be between the second threshold and the third threshold, wherein the second threshold is smaller than the third threshold, and the third threshold may be a certain percentage of the number of characteristic points of the preset fingerprint image, for example , 50%, or, the third threshold is a default value of the system, and the second threshold can be a certain percentage of the number of characteristic points of the preset fingerprint image, for example, 30%, or, the second threshold is the default value of the system some value. Under normal circumstances, the number of feature points of dry fingers or wet fingers is small, and the terminal can extract the number of feature points of fingerprints. For example, if the number of feature points is less than the first threshold, it means that the fingerprint comes from Dry or wet fingers.

103. When the fingerprint image is the image of the dry finger or the image of the wet finger, lower the matching threshold.

In a specific implementation, if the fingerprint image is from an image of a dry finger or an image of a wet finger, the matching threshold may be lowered according to a certain fixed value, or the matching threshold may be adjusted according to a certain ratio.

Optionally, a sharpness ratio between the sharpness of the fingerprint image and the preset fingerprint template may be determined; and the matching threshold is lowered according to the sharpness ratio. Wherein, the sharpness is common knowledge in the field of image processing, and will not be repeated here. For example, the sharpness of the fingerprint image is A, the number of sharpness of the preset fingerprint template is B, the matching threshold is C, and the reduced matching threshold=C*(B-A)/B.

Optionally, a signal-to-noise ratio between the signal-to-noise ratio of the fingerprint image and the preset fingerprint template may be determined; and the matching threshold is lowered according to the signal-to-noise ratio. For example, the signal-to-noise ratio of the fingerprint image is A, the signal-to-noise ratio of the preset fingerprint template is B, the matching threshold is C, and the reduced matching threshold=C*(B-A)/B.

Optionally, the number of feature points of the fingerprint image and the number of feature points of the preset fingerprint template can be determined, and the matching threshold is reduced according to the ratio of the number of feature points of the two, for example, the number of feature points of the fingerprint image is A , the number of feature points of the preset fingerprint template is B, the matching threshold is C, and the reduced matching threshold=C*(B-A)/B.

Optionally, the number of feature points of the fingerprint image and the number of feature points of the preset fingerprint template can be determined, and the matching threshold is lowered according to the difference between the number of feature points of the two, for example, the difference is in the first preset range, If the difference is greater than the first preset range, it will be reduced by 20%.

104. Match the fingerprint image with a preset fingerprint template.

In the specific implementation, the preset fingerprint template can be stored in advance, and the fingerprint image can be matched with the preset fingerprint template during the unlocking process of an application, and will only be displayed when the fingerprint image and the preset fingerprint template are successfully matched. Refresh the page of the application to be unlocked. Extract the first fingerprint pattern of the fingerprint image. When the first fingerprint pattern matches the second fingerprint pattern of the preset fingerprint template, if the matching value reaches a certain threshold, it can be considered that the first fingerprint pattern and the second fingerprint pattern of the preset fingerprint template The fingerprint pattern matching is successful. If the matching value does not reach the certain threshold, it can be considered that the matching between the first fingerprint pattern and the second fingerprint pattern of the preset fingerprint template fails. The feature points of the fingerprint image can be extracted, such as Harris corner points, scale-invariant feature transform (Scale-invariant feature transform, SIFT) corner points, then, the first feature point of the collected fingerprint image can be compared with the first feature point of the preset fingerprint template Two feature points are matched, if the matching value reaches a certain threshold, it can be considered that the first feature point of the fingerprint image matches the second feature point of the preset fingerprint template successfully, if the matching value does not reach the certain threshold, then it can be considered The first feature point of the fingerprint image fails to match the second feature point of the preset fingerprint template.

105. When the matching value between the fingerprint image and the preset fingerprint template is greater than the reduced matching threshold, unlock the terminal.

In a specific implementation, when the fingerprint image and the preset fingerprint template are greater than the reduced matching threshold, the terminal may be unlocked or an application in the terminal may be unlocked. For example, when the terminal is in the off-screen state, unlock the terminal, the display screen of the terminal lights up, and display the unlocked desktop; or, when the terminal is in the bright state, unlock the terminal, and display the unlocked desktop; Or, when the terminal is in an unlocked state, at least one application of the terminal can be unlocked, that is, start the at least one application or display a preset page of an application in the at least one application; or, when the terminal is in a screen-off state Next, at least one application of the terminal can be unlocked, that is, the at least one application can be started or a preset page of a certain application in the at least one application can be displayed.

It can be seen that, in the embodiment of the present invention, by acquiring a fingerprint image, when the fingerprint image is an image of a dry finger or a wet finger image, the matching threshold is lowered, the fingerprint image is matched with a preset fingerprint template, and When the matching value between the image and the preset fingerprint template is greater than the reduced matching threshold, the terminal is unlocked. Therefore, since the matching threshold is lowered, when the fingerprint image is an image of a dry finger or an image of a wet finger, it is more conducive to improving the fingerprint unlocking efficiency.

Please refer to FIG. 2 , which is a schematic flowchart of a second embodiment of a fingerprint unlocking method provided by an embodiment of the present invention. The fingerprint unlocking method described in this embodiment includes the following steps:

201. Acquire a fingerprint image.

202. Determine whether the fingerprint image is an image of a dry finger or an image of a wet finger.

203. When the fingerprint image is the image of the dry finger or the image of the wet finger, match the fingerprint image with a preset fingerprint template to obtain a matching value.

In a specific implementation, when the fingerprint image is an image of a dry finger or an image of a wet finger, the fingerprint image is matched with a preset fingerprint template to directly obtain a matching value.

204. Determine whether the matching value is within a preset range.

In the specific implementation, it can be judged whether the above-mentioned matching value is in the preset range, if it is in the preset range, it means that the fingerprint image is the fingerprint image of the end user, if the fingerprint image is not in the preset range, it means that the fingerprint image does not belong to the end user , the terminal cannot be unlocked, and the terminal remains in the standby state.

205. If yes, lower the matching threshold.

206. Match the fingerprint image with a preset fingerprint template.

207. When the matching value between the fingerprint image and the preset fingerprint template is greater than the reduced matching threshold, unlock the terminal.

Wherein, the specific description of steps 201-202 and steps 205-207 can refer to the specific description in the first embodiment.

It can be seen that, in the embodiment of the present invention, by acquiring a fingerprint image, when the fingerprint image is an image of a dry finger or an image of a wet finger, the fingerprint image is matched with a preset fingerprint template to obtain a matching value. If the preset range is lower than the matching threshold, the fingerprint image is matched with the preset fingerprint template, and when the matching value between the fingerprint image and the preset fingerprint template is greater than the lowered matching threshold, the terminal is unlocked. Therefore, since the matching threshold is lowered, when the fingerprint image is an image of a dry finger or an image of a wet finger, it is more conducive to improving the fingerprint unlocking efficiency.

Please refer to FIG. 3 a , which is a schematic structural diagram of a first embodiment of a terminal provided by an embodiment of the present invention. The terminal described in this embodiment includes: an acquisition unit 301, a first judgment unit 302, a reduction unit 303, a first matching unit 304, and an unlocking unit 305, specifically as follows:

An acquisition unit 301, configured to acquire a fingerprint image;

A first judging unit 302, configured to judge whether the fingerprint image acquired by the acquiring unit 301 is an image of a dry finger or an image of a wet finger;

A lowering unit 303, configured to lower the matching threshold when the judgment result of the first judging unit 302 is that the fingerprint image is the image of the dry finger or the image of the wet finger;

A first matching unit 304, configured to match the fingerprint image acquired by the acquiring unit 301 with a preset fingerprint template;

The unlocking unit 305 is configured to unlock the terminal when the matching value between the fingerprint image and the preset fingerprint template is greater than the reduced matching threshold.

Optionally, as shown in FIG. 3b, the first judging unit 302 described in FIG. 3a includes:

The first extraction module 3021 is used to extract the feature points of the fingerprint image;

The first judgment module 3022 is used to judge whether the number of feature points of the fingerprint image extracted by the first extraction module 3021 is less than a first preset threshold, and if so, determine that the fingerprint image is of the dry finger image or an image of said wet finger.

Optionally, as shown in FIG. 3c, the first judging unit 302 described in FIG. 3a includes:

The second extraction module 306 is used to extract the feature points of the partial area of the fingerprint image;

A calculation module 307, configured to calculate the number of feature points per unit area based on the number of feature points of the partial region extracted by the second extraction module 306;

The second judging module 308 is used to judge whether the number of feature points per unit area calculated by the computing module 307 is less than a second preset threshold, and if so, confirm that the fingerprint image is the image of the dry finger or Image of the wet finger.

Optionally, the second extraction module 308 includes:

A block module (not shown in the figure), configured to divide the fingerprint image into a plurality of independent regions,

A third extraction module (not shown in the figure), configured to extract feature points of at least one independent area among the plurality of independent areas divided by the block module.

Optionally, as shown in Figure 3d, the terminal described in Figure 3a further includes:

The second matching unit 309 is configured to match the fingerprint image acquired by the acquiring unit 301 with a preset fingerprint template to obtain a matching value;

The second judging unit 310 is configured to judge whether the matching value matched by the second matching unit 309 is within a preset range, and if the judging result of the second judging unit 310 is yes, the reducing unit 303 will reduce the match threshold.

Optionally, as shown in FIG. 3e, the reducing unit 303 described in FIG. 3a includes:

A determining module 3031, configured to determine the sharpness ratio between the sharpness of the fingerprint image and the preset fingerprint template:

A reducing module 3032, configured to reduce the matching threshold according to the sharpness ratio.

As an optional implementation manner, the acquiring unit 301 includes:

The fourth determination module (not marked in the figure) is used to determine the collection area of the fingerprint identification module when the user presses the fingerprint identification module;

The first acquisition module (not marked in the figure), acquires the n2 normal underlying data values through the n2 normal sensing electrodes in the acquisition area, and acquires the n1 abnormal sensing electrodes through the n1 abnormal sensing electrodes in the acquisition area Abnormal underlying data values, the n1 abnormal underlying data values and the n2 normal underlying data values are the fingerprint images, and the sensing electrode array of the fingerprint recognition module includes at least the n1 abnormal sensing electrodes and the n2 normal sensing electrodes, the n1 and n2 are positive integers;

A repair module (not shown in the figure), configured to determine the n1 abnormal sensing electrodes corresponding to the n2 normal underlying data values collected by the n2 normal sensing electrodes of the fingerprint identification module. Said n1 underlying repair data values;

A generation module (not shown in the figure), configured to generate a fingerprint image according to the n2 normal underlying data values and the n1 underlying repair data values.

Optionally, the repair module includes:

A blocking module (not shown in the figure), configured to divide the collection area into a plurality of independent areas, wherein each independent area in the plurality of independent areas includes a plurality of data collected by the normal sensing electrodes The normal underlying data value and at least one abnormal underlying data value collected by the abnormal sensing electrode;

The fifth determination module (not marked in the figure) is used to determine the mean value of all the normal underlying data values in the independent area i, and use the mean value as the abnormal sensing electrode in the independent area i The corresponding underlying repair data value, wherein the independent area i is any one of the plurality of independent areas.

Please refer to FIG. 4 , which is a schematic structural diagram of a second embodiment of a terminal provided by an embodiment of the present invention. The terminal described in this embodiment includes: at least one input device 1000; at least one output device 2000; at least one processor 3000, such as a CPU; and a memory 4000, the above-mentioned input device 1000, output device 2000, processor 3000, memory 4000 is connected with a communication interface (not shown in the figure) through a bus 5000 .

Wherein, the above-mentioned input device 1000 may specifically be a touch panel, a physical button or a mouse, a fingerprint recognition module, and the like.

The aforementioned output device 2000 may specifically be a display screen.

The above-mentioned memory 4000 may be a high-speed RAM memory, or may be a non-volatile memory (non-volatile memory), such as a magnetic disk memory. The above-mentioned memory 4000 is used to store a set of program codes, and the above-mentioned input device 1000, output device 2000 and processor 3000 are used to call the program codes stored in the memory 4000, and perform the following operations:

The above-mentioned processor 3000 is used for:

Get fingerprint image;

judging whether the fingerprint image is an image of a dry finger or an image of a wet finger;

When the fingerprint image is an image of the dry finger or an image of the wet finger, lowering the matching threshold;

matching the fingerprint image with a preset fingerprint template;

When the matching value between the fingerprint image and the preset fingerprint template is greater than the reduced matching threshold, the terminal is unlocked.

Optionally, the processor 3000 judging whether the fingerprint image is an image of a dry finger or an image of a wet finger includes:

extracting feature points of the fingerprint image;

Judging whether the number of feature points of the fingerprint image is less than a first preset threshold, and if so, determining that the fingerprint image is an image of the dry finger or an image of the wet finger.

Optionally, the processor 3000 judging whether the fingerprint image is an image of a dry finger or an image of a wet finger includes:

extracting feature points of a partial region of the fingerprint image;

calculating the number of feature points per unit area based on the number of feature points in the partial area;

Judging whether the number of feature points per unit area is less than a second preset threshold, and if so, confirming that the fingerprint image is the image of the dry finger or the image of the wet finger.

Optionally, the processor 3000 extracting feature points of a partial area of the fingerprint image includes:

dividing the fingerprint image into a plurality of independent regions,

Feature points of at least one independent area among the plurality of independent areas are extracted.

Optionally, before the processor 3000 lowers the matching threshold, it is further specifically used to:

Matching the fingerprint image with a preset fingerprint template to obtain a matching value;

Judging whether the matching value is within a preset range, if yes, performing the step of lowering the matching threshold.

Optionally, the processor 3000 lowering the matching threshold includes:

determining the sharpness ratio between the sharpness of the fingerprint image and the preset fingerprint template;

The matching threshold is lowered according to the sharpness ratio.

Optionally, the above-mentioned processor 3000 acquires a fingerprint image, including:

When the user presses the fingerprint identification module, determine the collection area of the fingerprint identification module;

The n2 normal underlying data values are acquired through the n2 normal sensing electrodes in the collection area, the n1 abnormal underlying data values are acquired through the n1 abnormal sensing electrodes in the acquisition area, and the n1 abnormal underlying data values value and the n2 normal underlying data values are the fingerprint image, the sensing electrode array of the fingerprint recognition module includes at least the n1 abnormal sensing electrodes and the n2 normal sensing electrodes, the n1, the n2 is a positive integer;

According to the n2 normal underlying data values collected by the n2 normal sensing electrodes of the fingerprint recognition module, determine the n1 underlying repair data values corresponding to the n1 abnormal sensing electrodes;

Generate a fingerprint image according to the n2 normal underlying data values and the n1 underlying repair data values.

Optionally, the processor 3000 determines the n1 bottom layers corresponding to the n1 abnormal sensing electrodes according to the n2 normal bottom layer data values collected by the n2 normal sensing electrodes of the fingerprint recognition module. Fix data values, including:

Dividing the acquisition area into a plurality of independent areas, wherein each independent area in the plurality of independent areas includes a plurality of the normal underlying data values collected by the normal sensing electrodes and at least one of the abnormal data values collected by the abnormal The abnormal underlying data value collected by the sensing electrode;

determining the mean value of all the normal underlying data values in the independent area i, and using the mean value as the underlying repair data value corresponding to the abnormal sensing electrode in the independent area i, wherein the independent area i is Any one of the plurality of independent regions.

FIG. 5 shows a block diagram of a partial structure of a mobile phone related to a terminal provided by an embodiment of the present invention. Referring to FIG. 5 , the mobile phone includes: a radio frequency (Radio Frequency, RF) circuit 510, a memory 520, an input unit 530, a display unit 540, a sensor 550, an audio circuit 560, a wireless fidelity (wirelessfidelity, WiFi) module 570, a processor 580, And parts such as power supply 590. Those skilled in the art can understand that the structure of the mobile phone shown in FIG. 5 is not limited to the mobile phone, and may include more or less components than shown in the figure, or combine some components, or arrange different components.

The following is a specific introduction to each component of the mobile phone in conjunction with Figure 5:

The RF circuit 510 can be used for sending and receiving information or receiving and sending signals during a call. In particular, after receiving the downlink information from the base station, the processor 580 processes it; in addition, it sends the designed uplink data to the base station. Generally, the RF circuit 510 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier (Low Noise Amplifier, LNA), a duplexer, and the like. In addition, RF circuitry 510 may also communicate with networks and other devices via wireless communications. The above-mentioned wireless communication can use any communication standard or protocol, including but not limited to Global System of Mobile Communication (Global System of Mobile communication, GSM), General Packet Radio Service (General Packet Radio Service, GPRS), Code Division Multiple Access (Code Division Multiple Access) , CDMA), Wideband Code Division Multiple Access (WCDMA), Long Term Evolution (LongTerm Evolution, LTE), email, Short Messaging Service (Short Messaging Service, SMS), etc.

The memory 520 can be used to store software programs and modules, and the processor 580 executes various functional applications and data processing of the mobile phone by running the software programs and modules stored in the memory 520 . The memory 520 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application program required by a function (such as a sound playback function, an image playback function, etc.); Data created by the use of mobile phones (such as audio data, phonebook, etc.), etc. In addition, the memory 520 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage devices.

The input unit 530 can be used to receive input numbers or character information, and generate key signal input related to user settings and function control of the mobile phone. Specifically, the input unit 530 may include a touch panel 531 and other input devices 532 . The touch panel 531, also referred to as a touch screen, can collect touch operations of the user on or near it (for example, the user uses any suitable object or accessory such as a finger or a stylus on the touch panel 531 or near the touch panel 531). operation), and drive the corresponding connection device according to the preset program. Optionally, the touch panel 531 may include two parts, a touch detection device and a touch controller. Among them, the touch detection device detects the user's touch orientation, and detects the signal brought by the touch operation, and transmits the signal to the touch controller; the touch controller receives the touch information from the touch detection device, converts it into contact coordinates, and sends it to the to the processor 580, and can receive and execute commands sent by the processor 580. In addition, the touch panel 531 can be implemented in various types such as resistive, capacitive, infrared, and surface acoustic wave. In addition to the touch panel 531 , the input unit 530 may also include other input devices 532 . Specifically, other input devices 532 may include but not limited to one or more of a physical keyboard, function keys (such as volume control keys, switch keys, etc.), trackball, mouse, joystick, and the like.

The display unit 540 may be used to display information input by or provided to the user and various menus of the mobile phone. The display unit 540 may include a display panel 541. Optionally, the display panel 541 may be configured in the form of a liquid crystal display (Liquid Crystal Display, LCD) or an organic light-emitting diode (Organic Light-Emitting Diode, OLED). Further, the touch panel 531 may cover the display panel 541, and when the touch panel 531 detects a touch operation on or near it, it transmits to the processor 580 to determine the type of the touch event, and then the processor 580 determines the type of the touch event according to the touch event. The type provides a corresponding visual output on the display panel 541 . Although in FIG. 5 , the touch panel 531 and the display panel 541 are used as two independent components to realize the input and input functions of the mobile phone, in some embodiments, the touch panel 531 and the display panel 541 can be integrated to form a mobile phone. Realize the input and output functions of the mobile phone.

The handset may also include at least one sensor 550, such as a light sensor, motion sensor, and other sensors. Specifically, the light sensor can include an ambient light sensor and a proximity sensor, wherein the ambient light sensor can adjust the brightness of the display panel 541 according to the brightness of the ambient light, and the proximity sensor can turn off the display panel 541 and/or when the mobile phone is moved to the ear. or backlight. As a kind of motion sensor, the accelerometer sensor can detect the magnitude of acceleration in various directions (generally three axes), and can detect the magnitude and direction of gravity when it is stationary, and can be used to identify the application of mobile phone posture (such as horizontal and vertical screen switching, related Games, magnetometer attitude calibration), vibration recognition related functions (such as pedometer, tap), etc.; as for other sensors such as gyroscope, barometer, hygrometer, thermometer, infrared sensor, etc. repeat.

The audio circuit 560, the speaker 561, and the microphone 562 can provide an audio interface between the user and the mobile phone. The audio circuit 560 can transmit the electrical signal converted from the received audio data to the loudspeaker 561, and the loudspeaker 561 converts it into an audio signal output; After being received, it is converted into audio data, and then the audio data is processed by the output processor 580, and then sent to another mobile phone through the RF circuit 510, or the audio data is output to the memory 520 for further processing.

WiFi is a short-distance wireless transmission technology. The mobile phone can help users send and receive emails, browse web pages, and access streaming media through the WiFi module 570, which provides users with wireless broadband Internet access. Although Fig. 5 shows a WiFi module 570, it can be understood that it is not an essential component of the mobile phone, and can be completely omitted as required without changing the essence of the invention.

The processor 580 is the control center of the mobile phone. It uses various interfaces and lines to connect various parts of the entire mobile phone. By running or executing software programs and/or modules stored in the memory 520, and calling data stored in the memory 520, execution Various functions and processing data of the mobile phone, so as to monitor the mobile phone as a whole. Optionally, the processor 580 may include one or more processing units; preferably, the processor 580 may integrate an application processor and a modem processor, wherein the application processor mainly processes operating systems, user interfaces, and application programs, etc. , the modem processor mainly handles wireless communications. It can be understood that the foregoing modem processor may not be integrated into the processor 580 .

The mobile phone also includes a power supply 590 (such as a battery) for supplying power to each component. Preferably, the power supply can be logically connected to the processor 580 through the power management system, so as to realize functions such as managing charging, discharging, and power consumption management through the power management system.

Although not shown, the mobile phone may also include a camera, a Bluetooth module, etc., which will not be repeated here.

In the foregoing embodiments, the method flow of each step can be implemented based on the structure of the terminal. Wherein the sensor 550 or the touch panel 531 can be used as a fingerprint recognition module.

An embodiment of the present invention also provides a computer storage medium, wherein the computer storage medium can store a program, and when the program is executed, some or all steps of any fingerprint unlocking method described in the above method embodiments are included.

Although the present invention has been described in conjunction with various embodiments herein, in the process of implementing the claimed invention, those skilled in the art can understand and Other variations of the disclosed embodiments are implemented. In the claims, the word "comprising" does not exclude other components or steps, and "a" or "an" does not exclude a plurality. A single processor or other unit may fulfill the functions of several items recited in the claims. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that these measures cannot be combined to advantage.

Those skilled in the art should understand that the embodiments of the present invention may be provided as methods, devices (devices), or computer program products. Accordingly, the present invention can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein. The computer program is stored/distributed on suitable media, supplied with or as part of other hardware, and may also take other forms of distribution, such as via the Internet or other wired or wireless telecommunication systems.

The present invention is described with reference to flowcharts and/or block diagrams of methods, apparatus (device) and computer program products according to embodiments of the present invention. It should be understood that each procedure and/or block in the flowchart and/or block diagram, and a combination of procedures and/or blocks in the flowchart and/or block diagram can be realized by computer program instructions. These computer program instructions may be provided to a general purpose computer, special purpose computer, embedded processor, or processor of other programmable data processing equipment to produce a machine such that the instructions executed by the processor of the computer or other programmable data processing equipment produce a An apparatus for realizing the functions specified in one or more procedures of the flowchart and/or one or more blocks of the block diagram.

These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing apparatus to operate in a specific manner, such that the instructions stored in the computer-readable memory produce an article of manufacture comprising instruction means, the instructions The device realizes the function specified in one or more procedures of the flowchart and/or one or more blocks of the block diagram.

These computer program instructions can also be loaded onto a computer or other programmable data processing device, causing a series of operational steps to be performed on the computer or other programmable device to produce a computer-implemented process, thereby The instructions provide steps for implementing the functions specified in the flow chart or blocks of the flowchart and/or the block or blocks of the block diagrams.

Although the invention has been described in conjunction with specific features and embodiments thereof, it will be apparent that various modifications and combinations can be made therein without departing from the spirit and scope of the invention. Accordingly, the specification and drawings are merely illustrative of the invention as defined by the appended claims and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the invention. Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention also intends to include these modifications and variations.

Claims (13)

1. A fingerprint unlocking method, characterized in that, comprising: Get fingerprint image; judging whether the fingerprint image is an image of a dry finger or an image of a wet finger; When the fingerprint image is an image of the dry finger or an image of the wet finger, lowering the matching threshold; matching the fingerprint image with a preset fingerprint template; When the matching value between the fingerprint image and the preset fingerprint template is greater than the reduced matching threshold, the terminal is unlocked. 2. The method according to claim 1, wherein the judging whether the fingerprint image is an image of a dry finger or an image of a wet finger comprises: extracting feature points of the fingerprint image; Judging whether the number of feature points of the fingerprint image is less than a first preset threshold, and if so, determining that the fingerprint image is an image of the dry finger or an image of the wet finger. 3. The method according to claim 1, wherein the judging whether the fingerprint image is an image of a dry finger or an image of a wet finger comprises: extracting feature points of a partial region of the fingerprint image; calculating the number of feature points per unit area based on the number of feature points in the partial area; Judging whether the number of feature points per unit area is less than a second preset threshold, and if so, confirming that the fingerprint image is the image of the dry finger or the image of the wet finger. 4. The method according to claim 3, wherein said extracting the feature points of the partial regions of the fingerprint image comprises: dividing the fingerprint image into a plurality of independent regions; Feature points of at least one independent area among the plurality of independent areas are extracted. 5. according to the method according to any one of claim 1 to 4, it is characterized in that, before described reducing matching threshold, described method also comprises: Matching the fingerprint image with a preset fingerprint template to obtain a matching value; Judging whether the matching value is within a preset range, if yes, performing the step of lowering the matching threshold. 6. The method according to claim 5, wherein said reducing the matching threshold comprises: Determine the sharpness ratio between the sharpness of the fingerprint image and the preset fingerprint template: The matching threshold is lowered according to the sharpness ratio. 7. A terminal, characterized in that, comprising: an acquisition unit, configured to acquire a fingerprint image; a first judging unit, configured to judge whether the fingerprint image acquired by the acquiring unit is an image of a dry finger or an image of a wet finger; A lowering unit, configured to lower the matching threshold when the first judging unit judges that the fingerprint image is the image of the dry finger or the image of the wet finger; a first matching unit, configured to match the fingerprint image acquired by the acquisition unit with a preset fingerprint template; An unlocking unit, configured to unlock the terminal when the matching value between the fingerprint image and the preset fingerprint template is greater than the reduced matching threshold. 8. The terminal according to claim 7, wherein the first judging unit comprises: The first extraction module is used to extract the feature points of the fingerprint image; A first judgment module, configured to judge whether the number of feature points of the fingerprint image extracted by the first extraction module is less than a first preset threshold, and if so, determine that the fingerprint image is an image of the dry finger or Image of the wet finger. 9. The terminal according to claim 7, wherein the first judging unit comprises: The second extraction module is used to extract the feature points of the partial area of the fingerprint image; A calculation module, configured to calculate the number of feature points per unit area based on the number of feature points in the partial region extracted by the second extraction module; The second judging module is used to judge whether the number of feature points per unit area calculated by the computing module is less than a second preset threshold, and if so, confirm that the fingerprint image is the image of the dry finger or the Image of wet fingers. 10. The terminal according to claim 9, wherein the second extraction module comprises: a block module, configured to divide the fingerprint image into a plurality of independent regions, A third extraction module, configured to extract feature points of at least one independent area among the plurality of independent areas divided by the blocking module. 11. The terminal according to any one of claims 7 to 10, wherein the terminal further comprises: a second matching unit, configured to match the fingerprint image acquired by the acquisition unit with a preset fingerprint template to obtain a matching value; The second judging unit is configured to judge whether the matching value matched by the second matching unit is within a preset range, and if the judging result of the second judging unit is yes, the lowering unit lowers the matching threshold. 12. The terminal according to claim 11, wherein the reducing unit comprises: A determining module, configured to determine the sharpness ratio between the sharpness of the fingerprint image and the preset fingerprint template: A reducing module, configured to reduce the matching threshold according to the sharpness ratio. 13. A terminal, characterized in that, comprising: A processor, a memory, a communication interface, a fingerprint identification module, and a communication bus, the processor, the memory, the fingerprint identification module, and the communication interface are connected through the communication bus and complete mutual communication; The memory stores executable program codes, the fingerprint identification module is used to acquire fingerprint images, and the communication interface is used for wireless communication; The processor is configured to call the executable program code in the memory to execute the method according to any one of claims 1-6.