WO2017067289A1

WO2017067289A1 - Fingerprint recognition method, apparatus, and mobile terminal

Info

Publication number: WO2017067289A1
Application number: PCT/CN2016/093748
Authority: WO
Inventors: 张强; 王立中; 周海涛; 蒋奎; 贺威
Original assignee: 广东欧珀移动通信有限公司
Priority date: 2015-10-19
Filing date: 2016-08-05
Publication date: 2017-04-27
Also published as: CN105260722A; CN105260722B

Abstract

Disclosed are a fingerprint recognition method, apparatus, and mobile terminal, said method comprising: using a fingerprint sensor to obtain an image; calculating the number of pixels within a preset region of the obtained image; according to the number of pixels, determining whether said obtained image is a valid image, and if so, then comparing said obtained image with a template image.

Description

Fingerprint identification method, device and mobile terminal

The present application claims priority to Chinese Patent Application No. 201510681136.8, entitled "A Fingerprint Identification Method, Apparatus, and Mobile Terminal" on October 19, 2015, the entire contents of which are incorporated by reference. In this application.

Technical field

Embodiments of the present invention relate to a fingerprint identification technology, and in particular, to a fingerprint identification method and apparatus, and a mobile terminal.

Background technique

Since the fingerprint has lifetime immutability, uniqueness and convenience, it has been widely used for identification, in particular, it is used in a mobile terminal as a password (for example, a power-on password of a mobile terminal and a payment password of Taobao) to ensure User privacy and even property security. When using the fingerprint as the password, the user needs to place the finger on the fingerprint sensor configured by the mobile terminal, the fingerprint sensor detects the fingerprint of the user, obtains the fingerprint image, and then matches the fingerprint image with the template image. If the matching is successful, the identification is successful. That is: the password is correct; if the match is unsuccessful, the recognition fails, ie the password is incorrect.

Since the fingerprint sensor is more sensitive, when the finger has not been stably attached to the fingerprint sensor, or the fingerprint sensor is close to other skin parts of the user or even the mobile terminal is placed in the pocket, the fingerprint sensor may even be a finger or other skin part of the user. The pocket is detected and the image is obtained. Because the above method, the fingerprint sensor triggers the matching action as long as the image is obtained by the fingerprint sensor. Therefore, whether the fingerprint sensor obtains the complete image of the fingerprint or the image of the fingerprint will be the image and the template image. For comparison, when the fingerprint sensor recognizes an incomplete image of the fingerprint, the user needs to remove the finger from the fingerprint sensor and then put it down to re-recognize the fingerprint image, which brings inconvenience to the user; when the fingerprint sensor recognizes not the fingerprint When the image is used, the resources of the mobile terminal are wasted. .

technical problem

The embodiment of the invention provides a fingerprint identification method, a device and a mobile terminal, so as to solve the problem that the existing fingerprint identification scheme brings inconvenience to the user and wastes the mobile terminal resource.

Technical solution

In a first aspect, an embodiment of the present invention provides a fingerprint identification method, including:

Acquiring images using a fingerprint sensor;

Calculating the number of pixels in the preset area of the acquired image;

Whether the acquired image is a valid image is determined according to the number of the pixel points, and if so, the acquired image is compared with the template image.

In a second aspect, the embodiment of the present invention further provides a fingerprint identification device, including:

An image acquisition module, configured to acquire an image by using a fingerprint sensor;

a pixel number calculation module, configured to calculate a number of pixel points in a preset area of the acquired image;

The determining module is configured to determine, according to the number of the pixel points, whether the acquired image is a valid image, and if yes, compare the acquired image with the template image.

In a third aspect, an embodiment of the present invention further provides a mobile terminal, including a fingerprint sensor and an identification device for connecting a fingerprint with the fingerprint sensor, where the fingerprint identification device includes:

The determining module is configured to determine, according to the number of the pixel points, whether the acquired image is a valid image, and if yes, compare the acquired image with the template image. .

Beneficial effect

The method and device for identifying a fingerprint and the mobile terminal provided by the embodiment of the present invention calculate the number of pixels in a preset area of an image acquired by using the fingerprint sensor, and determine whether the acquired image is a valid image according to the number of pixels, if Yes, the acquired image is compared with the template image. After the image sensor acquires the image, the acquired image is not directly compared with the template image, but the obtained image is first determined to be a valid image. When the acquired image is a valid image, the acquired image is compared with the template image, thereby avoiding the fingerprint recognition failure caused by the fingerprint sensor not being the complete image of the fingerprint, thereby causing inconvenience to the user; The fingerprint sensor acquires a problem that the mobile terminal resource is wasted due to the image of the fingerprint, which in turn can bring convenience to the user and save resources.

DRAWINGS

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the description of the prior art will be briefly described below. Obviously, the drawings in the following description are only It is a certain embodiment of the present invention, and other drawings can be obtained from those skilled in the art without any creative work.

1 is a schematic flow chart of a fingerprint identification method according to Embodiment 1 of the present invention.

FIG. 2 is a schematic flowchart diagram of a fingerprint identification method according to Embodiment 2 of the present invention.

FIG. 3 is a schematic flowchart of a fingerprint identification method according to Embodiment 3 of the present invention.

4 is a schematic flow chart of a fingerprint identification method according to Embodiment 4 of the present invention.

FIG. 5 is a schematic flowchart of a fingerprint identification method according to Embodiment 5 of the present invention.

FIG. 6 is a schematic structural diagram of a fingerprint identification apparatus according to Embodiment 6 of the present invention.

FIG. 7 is a schematic structural diagram of a mobile terminal according to a preferred embodiment of the present invention.

BEST MODE FOR CARRYING OUT THE INVENTION

The technical solution of the present invention will be further described below with reference to the accompanying drawings and specific embodiments. It is understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. It should also be noted that, for ease of description, only some, but not all, of the structures related to the present invention are shown in the drawings.

Before discussing the exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as a process or method depicted as a flowchart. Although the flowcharts describe the various steps as a sequential process, many of the steps can be implemented in parallel, concurrently or concurrently. In addition, the order of the steps can be rearranged. The process may be terminated when its steps are completed, but may also have additional steps not included in the figures. The processing may correspond to methods, functions, procedures, subroutines, subroutines, and the like.

The invention provides a fingerprint identification method, which comprises:

Acquiring images using a fingerprint sensor;

Calculating the number of pixels in the preset area of the acquired image;

In some embodiments, determining whether the acquired image is a valid image according to the number of the pixel points includes:

Determining whether the number of pixels is greater than or equal to a first preset value, and if so, the acquired image is a valid image.

In some embodiments, acquiring the image using the fingerprint sensor comprises:

Using the fingerprint sensor to acquire an image every preset time interval,

Calculating the number of pixels in the preset area of the acquired image includes:

The number of pixels in the preset area of the image acquired by the fingerprint sensor at each time instant is calculated.

It is determined whether the number of pixels of the image acquired at the current time is equal to or greater than a second preset value, and if so, the image acquired at the current time is a valid image.

Calculating a difference between the number of pixels of the image acquired at the current time and the number of pixels of the image acquired at the previous time, to obtain a difference between the number of pixels;

Determining whether the difference between the number of pixels is less than or equal to a third preset value, and if so, the image acquired at the current time is a valid image.

In some embodiments, before the image is acquired by using the fingerprint sensor, the method further includes:

It is judged whether the fingerprint sensor is pressed, and if so, an image is acquired using the fingerprint sensor.

In some embodiments, the preset area is an entire area of the acquired image or an edge area of the acquired image.

In some embodiments, after determining whether the acquired image is a valid image according to the number of the pixels, the method further includes:

If not, the image is retrieved again using the fingerprint sensor.

The invention provides a fingerprint identification device, which comprises:

In some embodiments, the determining module comprises:

The first determining unit is configured to determine whether the number of the pixel points is greater than or equal to a first preset value, and if yes, the acquired image is a valid image.

In some embodiments, the image acquisition module includes:

An image acquisition unit, configured to acquire an image by using a fingerprint sensor every preset time period,

The pixel number calculation module includes:

The pixel number calculation unit is configured to calculate the number of pixel points in the preset area of the image acquired by the fingerprint sensor at each time.

In some embodiments, the determining module comprises:

The second determining unit is configured to determine whether the number of pixels of the image acquired at the current time is equal to or greater than a second preset value, and if yes, the image acquired at the current time is a valid image.

In some embodiments, the determining module comprises:

a calculating unit, configured to calculate a difference between a number of pixels of the image acquired at the current time and a number of pixels of the image acquired at the previous time, to obtain a difference between the number of pixels;

The third determining unit is configured to determine whether the difference between the number of the pixel points is less than or equal to a third preset value, and if yes, the image acquired at the current time is a valid image.

In some embodiments, the method further includes:

Pressing a determination module for determining whether the fingerprint sensor is pressed, and if so, acquiring an image using the fingerprint sensor.

In some embodiments, the determining module is further configured to reacquire the image using the fingerprint sensor if no.

The present invention also provides a mobile terminal comprising a fingerprint sensor and an identification device for connecting a fingerprint to the fingerprint sensor, the fingerprint identification device comprising:

In some embodiments, the determining module comprises:

In some embodiments, the image acquisition module includes:

The pixel number calculation module includes:

In some embodiments, the determining module comprises:

Embodiment 1

1 is a schematic flowchart of a fingerprint identification method according to Embodiment 1 of the present invention. The method may be implemented by a fingerprint identification device, where the device may be implemented by software and/or hardware, and may be integrated into a mobile terminal. As shown in Figure 1, the method includes:

Step 101: Acquire an image by using a fingerprint sensor.

Since the fingerprint sensor integrated in the mobile terminal is relatively sensitive, when the user places a partial area of the finger on the fingerprint sensor or places the mobile terminal in the pocket, the fingerprint sensor also detects the clothes of some fingers or pockets to obtain the acquisition. The image, therefore, the image obtained above is not only the entire image of the fingerprint, but also a partial image of the fingerprint, or even an image of the clothing texture.

Step 102: Calculate the number of pixel points in the preset area of the acquired image.

The preset area may be the entire area of the acquired image or a partial area of the acquired image. Since the user can place a finger on the fingerprint sensor, the portion of the edge of the finger cannot be in good contact with the fingerprint sensor. Therefore, the edge region of the image acquired by the fingerprint sensor is the region most prone to error, so the preset region can also be Is the edge area of the acquired image.

Step 103: Determine whether the acquired image is a valid image according to the number of pixels, and if yes, compare the acquired image with the template image.

The obtained image is determined to be a valid image according to the number of pixel points in the preset area of the acquired image obtained above, and the acquired image is compared with the template image only when the acquired image is a valid image.

After the image sensor acquires the image, the acquired image is not directly compared with the template image, but the number of pixels in the preset area of the image acquired by the fingerprint sensor is calculated, and the number of pixels is determined according to the number of pixels. Whether the acquired image is a valid image, and only when the acquired image is a valid image, the acquired image is compared with the template image, thereby avoiding fingerprint recognition failure caused by the fingerprint sensor acquiring a complete image that is not the fingerprint, thereby giving The problem of inconvenience caused by the user is also avoided. The problem that the fingerprint sensor acquires the image of the mobile terminal that is not the image of the fingerprint is avoided, thereby facilitating the user and saving resources.

Based on the above solution, before the step 101, using the fingerprint sensor to acquire an image, the method may further include: determining whether the fingerprint sensor is pressed, and if yes, acquiring the image by using the fingerprint sensor.

Through the above solution, the image is acquired only when the fingerprint sensor is pressed, that is, the action of acquiring the image is triggered after the fingerprint sensor is pressed, and the triggering manner can reduce the fingerprint sensor from erroneously acquiring the image (ie: no need to acquire The probability of acquiring an image when the image is taken, thereby reducing waste of mobile terminal resources.

Embodiment 2

2 is a schematic flowchart of a fingerprint identification method according to Embodiment 2 of the present invention. The second embodiment is optimized based on the foregoing Embodiment 1. In the second embodiment, the number of pixels in the step 104 is determined. Whether the acquired image is a valid image is optimized as: determining whether the number of pixels is greater than or equal to the first preset value. As shown in Figure 2, the method includes:

Step 201: Acquire an image by using a fingerprint sensor.

Step 202: Calculate the number of pixel points in the preset area of the acquired image.

Step 203: Determine whether the number of pixel points is greater than or equal to the first preset value. If yes, the acquired image is a valid image, and the acquired image is compared with the template image.

Comparing the number of the pixel points in the preset area of the acquired image calculated above with the first preset value, if the number of the pixel points is greater than or equal to the first preset value, the acquired image is a valid image, The acquired image is compared to the template image.

On the basis of the first embodiment, only the acquired image is a valid image, and the acquired image is obtained only when the number of pixels in the preset area of the acquired image is greater than or equal to the first preset value. Compare with the template image. It is ensured that the number of pixels in the preset area of the acquired image reaches a certain number, thereby further ensuring that the acquired image is a valid image.

Embodiment 3

3 is a schematic flowchart of a fingerprint identification method according to Embodiment 3 of the present invention. The third embodiment is optimized based on the foregoing embodiment 1. In the third embodiment, the acquired image in step 101 is optimized as: continuous. Obtaining an image; determining whether the acquired image is a valid image according to the number of pixels in step 104 is: determining whether the image acquired at each moment is a valid image. As shown in FIG. 3, the method includes:

Step 301: Acquire an image once every preset time period by using the fingerprint sensor.

Each time interval is preset, an image is acquired by using a fingerprint sensor to continuously acquire an image.

Step 302: Calculate the number of pixel points in the preset area of the image acquired by the fingerprint sensor in each moment.

Calculating the number of pixels in the preset area of the image acquired at each moment, that is, calculating the number of pixels in the preset area of the acquired image once each time the image is acquired, and calculating the acquired image for each acquired image. The number of pixels in the preset area.

Step 303: Determine whether the number of pixels of the image acquired at the current time is equal to or greater than a second preset value. If yes, the image acquired at the current time is a valid image, and the image acquired at the current time is compared with the template image.

Each time a number of pixels in a preset area of an acquired image is calculated, the number of the pixels is compared with a second preset value, and pixel points in a preset area of each acquired image are implemented. The number is compared with a second preset value to determine whether each acquired image is a valid image. If the number of the pixels in the preset area of the image acquired at the current time is equal to or greater than the second preset value, the image acquired at the current time is a valid image. At this time, the image acquired at the current time is compared with the template image.

Since the desired effective image has been obtained and the acquired effective image is compared with the template image, it can be understood that the fingerprint sensor stops acquiring the image after comparing the acquired image with the template image.

On the basis of the first embodiment, the image is continuously acquired by using the fingerprint sensor, and the calculated number of pixel points in the preset area of the image acquired at each moment is compared with the second preset value, only When the number of pixels in the preset area of the image acquired at the current time is equal to or greater than the second preset value, the image acquired at the current time is a valid image, and the image acquired at the current time is compared with the template image. It is realized that the user only needs to place the finger on the fingerprint sensor for a period of time, and the fingerprint sensor automatically acquires the image continuously, even if the user does not correctly place the finger on the fingerprint sensor due to the user's deviation operation, the user does not need to make To remove the finger and put it on, just keep the finger on the fingerprint sensor and adjust the position of the finger slightly, which brings convenience to the user.

Embodiment 4

4 is a schematic flowchart of a fingerprint identification method according to Embodiment 4 of the present invention. The fourth embodiment is optimized based on the foregoing embodiment 1. In the fourth embodiment, the acquired image in step 101 is optimized as: continuous. Obtaining an image; determining whether the acquired image is a valid image according to the number of pixels in step 104 is: determining whether the image acquired at each moment is a valid image according to the difference between the image acquired at the current time and the image acquired at the previous time. . As shown in FIG. 4, the method includes:

Step 401: Acquire an image once every preset time period by using the fingerprint sensor.

Step 402: Calculate the number of pixel points in the preset area of the image acquired by the fingerprint sensor in each time.

Step 403: Calculate a difference between the number of pixel points of the image acquired at the current time and the number of pixel points of the image acquired at the previous time, to obtain a difference between the number of pixel points.

Once the two images are acquired, there will be an image acquired at the current time and an image acquired at the previous time. Thereafter, each time an image is acquired, the difference between the number of pixels is calculated. It can be understood that if N images are acquired, the difference between the number of N-1 pixel points can be calculated.

Step 404: Determine whether the difference between the number of pixel points is less than or equal to a third preset value. If yes, the image acquired at the current time is a valid image, and the image acquired at the current time is compared with the template image.

Comparing the difference between the number of calculated pixel points and the third preset value. If the difference between the number of pixel points is less than or equal to the third preset value, the image acquired at the current time is a valid image. Compare the acquired image with the template image.

On the basis of the first embodiment, the image is continuously acquired by using the fingerprint sensor, and the difference between the calculated number of pixels of the image acquired at the current time and the number of pixels of the image acquired at the previous time is compared with the first embodiment. The three preset values are compared. The image acquired at the current time is valid only when the difference between the number of pixels of the image acquired at the current time and the number of pixels of the image acquired at the previous time is less than or equal to the third preset value. The image will compare the image acquired at the current moment with the template image. By continuously acquiring the image, the user only needs to place the finger on the fingerprint sensor for a period of time, and the fingerprint sensor automatically and continuously acquires the image, even if the user does not correctly place the finger on the fingerprint sensor due to the user's deviation operation. The user does not need to make an operation of removing the finger and then putting it on, and only needs to maintain the finger on the fingerprint sensor to slightly adjust the position of the finger, which brings convenience to the user; by the image acquired according to the current time and the previous one The difference in the images acquired at the time determines whether the image acquired at each moment is a valid image, and achieves more accurate acquisition of the effective image in the shortest time.

Embodiment 5

5 is a schematic flowchart of a fingerprint identification method according to Embodiment 5 of the present invention. The fifth embodiment is optimized based on the foregoing embodiment 1. In the fifth embodiment, the number of pixels in the step 104 is determined. Whether the acquired image is a valid image is optimized to be: if not, the image sensor is used to reacquire the image. As shown in FIG. 5, the method includes:

Step 501: Acquire an image by using a fingerprint sensor.

Step 502: Calculate the number of pixel points in the preset area of the acquired image.

Step 503: Determine whether the acquired image is a valid image according to the number of pixels, and if yes, perform step 504 to compare the acquired image with the template image; if not, execute step 505 to reacquire the image by using the fingerprint sensor.

On the basis of the first embodiment, when the acquired image is not a valid image, the image is re-acquired by the fingerprint sensor. When the user does not place the entire area of the finger on the fingerprint sensor due to an erroneous operation, the user does not have to Re-acquisition of the image can be achieved by lifting the finger up and placing it on the fingerprint sensor.

Embodiment 6

FIG. 6 is a schematic structural diagram of a fingerprint identification apparatus according to Embodiment 6 of the present invention. The apparatus may be implemented by software and/or hardware, and is generally integrated in a mobile terminal, and can realize convenience for the user by performing a fingerprint identification method. And save resources of mobile terminals. As shown in FIG. 6, the apparatus includes: an image acquisition module 601, a pixel number calculation module 602, and a determination module 603.

The image obtaining module 601 is configured to acquire an image by using a fingerprint sensor; the pixel number calculation module 602 is configured to calculate a number of pixel points in the preset area of the acquired image; and the determining module 603 is configured to use the number of the pixel points. It is judged whether the acquired image is a valid image, and if so, the acquired image is compared with the template image.

Preferably, the determining module 603 may include: a first determining unit, configured to determine whether the number of pixel points is greater than or equal to a first preset value, and if yes, the acquired image is a valid image.

Preferably, the image acquisition module 601 may include: an image acquisition unit, configured to acquire an image once every predetermined time period by using the fingerprint sensor; the pixel number calculation module 602 may include: a pixel number calculation unit, configured to calculate each time The number of pixels in the preset area of the image acquired by the fingerprint sensor.

Preferably, the determining module 603 may include: a second determining unit, configured to determine whether the number of pixels of the image acquired at the current time is equal to or greater than a second preset value, and if yes, the image acquired at the current time is a valid image.

Preferably, the determining module 603 can include: a calculating unit and a third determining unit. The calculation unit is configured to calculate a difference between the number of pixel points of the image acquired at the current time and the number of pixel points of the image acquired at the previous time, to obtain a difference between the number of pixel points; and a third determining unit, configured to determine the pixel Whether the difference in the number of points is less than or equal to the third preset value, and if so, the image acquired at the current time is a valid image.

Preferably, the apparatus may further include: a pressing determination module for determining whether the fingerprint sensor is pressed, and if yes, acquiring an image by using the fingerprint sensor.

Preferably, the preset area is an entire area of the acquired image or an edge area of the acquired image.

Preferably, the determining module 603 is further configured to reacquire the image using the fingerprint sensor if not.

The above device can perform the fingerprint identification method provided by the first embodiment to the fifth embodiment of the present invention, and has the corresponding functional modules and the beneficial effects of performing the above method. For the technical details that are not described in detail in this embodiment, reference may be made to the fingerprint identification method provided by Embodiments 1 to 5 of the present invention.

In addition, as shown in FIG. 7, the embodiment of the present invention further provides a mobile terminal 70, which includes a fingerprint identification device 701 and a fingerprint sensor 702 provided by Embodiment 6 of the present invention. The fingerprint sensor 702 and the fingerprint identification device 701 The connection, fingerprint identification device 701 can perform the fingerprint identification method provided by the first embodiment to the fifth embodiment of the present invention. The mobile terminal provided by the embodiment of the present invention does not directly compare the acquired image with the template image after acquiring the image by the fingerprint sensor, but calculates the number of pixels in the preset area of the image acquired by using the fingerprint sensor, and according to The number of pixels determines whether the acquired image is a valid image. Only when the acquired image is a valid image, the acquired image is compared with the template image, thereby avoiding the fingerprint obtained by the fingerprint sensor not being the complete image of the fingerprint. The recognition fails, which causes inconvenience to the user; the problem that the fingerprint sensor acquires the image of the mobile terminal that is not the image of the fingerprint is avoided, thereby facilitating the user and saving resources.

Specifically, the fingerprint identification device 701 includes:

Preferably, the determining module comprises:

Preferably, the image acquisition module comprises:

The pixel number calculation module includes:

Preferably, the determining module comprises:

Note that the above are only the preferred embodiments of the present invention and the technical principles applied thereto. Those skilled in the art will appreciate that the present invention is not limited to the specific embodiments described herein, and that various modifications, changes and substitutions may be made without departing from the scope of the invention. Therefore, the present invention has been described in detail by the above embodiments, but the present invention is not limited to the above embodiments, and other equivalent embodiments may be included without departing from the inventive concept. The scope is determined by the scope of the appended claims.

It should be noted that those skilled in the art can understand that all or part of the steps of the foregoing embodiments can be completed by a program to instruct related hardware, and the program can be stored in a computer readable storage medium, such as It is stored in the memory of the terminal and executed by at least one processor within the terminal, and may include a flow of an embodiment of the information distribution method during execution. The storage medium may include: a read only memory (ROM, Read) Only Memory), Random Access Memory (RAM), disk or CD.

Claims

A method for identifying a fingerprint, comprising:

Acquiring images using a fingerprint sensor;

Calculating the number of pixels in the preset area of the acquired image;

Whether the acquired image is a valid image is determined according to the number of the pixel points, and if so, the acquired image is compared with the template image.
The method according to claim 1, wherein determining whether the acquired image is a valid image according to the number of the pixel points comprises:

Determining whether the number of pixels is greater than or equal to a first preset value, and if so, the acquired image is a valid image.
The method of claim 1 wherein acquiring an image using the fingerprint sensor comprises:

Using the fingerprint sensor to acquire an image every preset time interval,

Calculating the number of pixels in the preset area of the acquired image includes:

The number of pixels in the preset area of the image acquired by the fingerprint sensor at each time instant is calculated.
The method according to claim 3, wherein determining whether the acquired image is a valid image according to the number of the pixel points comprises:

It is determined whether the number of pixels of the image acquired at the current time is equal to or greater than a second preset value, and if so, the image acquired at the current time is a valid image.
The method according to claim 3, wherein determining whether the acquired image is a valid image according to the number of the pixel points comprises:

Calculating a difference between the number of pixels of the image acquired at the current time and the number of pixels of the image acquired at the previous time, to obtain a difference between the number of pixels;

Determining whether the difference between the number of pixels is less than or equal to a third preset value, and if so, the image acquired at the current time is a valid image.
The method of claim 1 wherein before the image is acquired using the fingerprint sensor, the method further comprises:

It is judged whether the fingerprint sensor is pressed, and if so, an image is acquired using the fingerprint sensor.
The method according to any one of claims 1 to 6, wherein the preset area is an entire area of the acquired image or an edge area of the acquired image.
The method according to any one of claims 1 to 6, wherein, after determining whether the acquired image is a valid image according to the number of the pixel points, the method further comprises:

If not, the image is retrieved again using the fingerprint sensor.
A fingerprint identification device, comprising:

An image acquisition module, configured to acquire an image by using a fingerprint sensor;

a pixel number calculation module, configured to calculate a number of pixel points in a preset area of the acquired image;

The determining module is configured to determine, according to the number of the pixel points, whether the acquired image is a valid image, and if yes, compare the acquired image with the template image.
The apparatus of claim 9, wherein the determining module comprises:

The first determining unit is configured to determine whether the number of the pixel points is greater than or equal to a first preset value, and if yes, the acquired image is a valid image.
The apparatus of claim 9, wherein the image acquisition module comprises:

An image acquisition unit, configured to acquire an image by using a fingerprint sensor every preset time period,

The pixel number calculation module includes:

The pixel number calculation unit is configured to calculate the number of pixel points in the preset area of the image acquired by the fingerprint sensor at each time.
The apparatus of claim 11 wherein said determining module comprises:

The second determining unit is configured to determine whether the number of pixels of the image acquired at the current time is equal to or greater than a second preset value, and if yes, the image acquired at the current time is a valid image.
The apparatus of claim 11 wherein said determining module comprises:

a calculating unit, configured to calculate a difference between a number of pixels of the image acquired at the current time and a number of pixels of the image acquired at the previous time, to obtain a difference between the number of pixels;

The third determining unit is configured to determine whether the difference between the number of the pixel points is less than or equal to a third preset value, and if yes, the image acquired at the current time is a valid image.
The apparatus according to claim 9, further comprising:

Pressing a determination module for determining whether the fingerprint sensor is pressed, and if so, acquiring an image using the fingerprint sensor.
The apparatus according to any one of claims 9 to 14, wherein the preset area is an entire area of the acquired image or an edge area of the acquired image.
The apparatus of any of claims 9-14, wherein the determination module is further configured to reacquire an image with the fingerprint sensor if not.
A mobile terminal includes a fingerprint sensor and an identification device for connecting a fingerprint to the fingerprint sensor, the fingerprint identification device comprising:

An image acquisition module, configured to acquire an image by using a fingerprint sensor;

a pixel number calculation module, configured to calculate a number of pixel points in a preset area of the acquired image;

The determining module is configured to determine, according to the number of the pixel points, whether the acquired image is a valid image, and if yes, compare the acquired image with the template image.
The mobile terminal of claim 17, wherein the determining module comprises:

The first determining unit is configured to determine whether the number of the pixel points is greater than or equal to a first preset value, and if yes, the acquired image is a valid image.
The mobile terminal of claim 17, wherein the image acquisition module comprises:

An image acquisition unit, configured to acquire an image by using a fingerprint sensor every preset time period,

The pixel number calculation module includes:

The pixel number calculation unit is configured to calculate the number of pixel points in the preset area of the image acquired by the fingerprint sensor at each time.
The apparatus of claim 19, wherein the determining module comprises:

The second determining unit is configured to determine whether the number of pixels of the image acquired at the current time is equal to or greater than a second preset value, and if yes, the image acquired at the current time is a valid image.