WO2017067288A1 - Fingerprint recognition method and apparatus, and mobile terminal - Google Patents

Abstract

Disclosed are a fingerprint recognition method and apparatus, and a mobile terminal, the method comprising: using a fingerprint sensor to acquire an image; calculating the number of pixel points in each row in a pre-set area of the acquired image; on the basis of the number of pixel points in each row, determining whether the acquired image comprises a valid image, and if so, then comparing the acquired valid image with a template image.

Description

Fingerprint identification method, device and mobile terminal

This application claims priority to Chinese Patent Application No. 201510681120.7, entitled "A Method, Apparatus and Terminal for Fingerprint Unlocking", which is filed on October 19, 2015, the entire contents of which are incorporated by reference. In this application.

Technical field

The embodiments of the present invention relate to the field of fingerprint intelligent identification technologies, and in particular, to a fingerprint identification method and device, and a mobile terminal.

Background technique

Since fingerprints have lifetime invariance, uniqueness, and convenience, they have been widely used for identification. In particular, they are often used in mobile terminals as passwords (such as mobile terminal power-on passwords and Taobao payment passwords). To ensure the privacy of users 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 match is successful, the recognition is successful, that is, the password is correct; if the match is unsuccessful, the recognition fails, that is, the password is incorrect.

Since the fingerprint sensor is relatively sensitive, when the finger has not been stably attached to the fingerprint sensor (in particular, for a user who is used to move the finger from top to bottom or from bottom to top to attach the finger to the fingerprint sensor), or When the fingerprint sensor is close to other skin parts of the user or even when the mobile terminal is placed in the pocket, the fingerprint sensor detects the finger or other skin parts or even pockets of the user to obtain an image. In the above method, as long as the fingerprint sensor obtains an image, a matching action is triggered. Therefore, whether the fingerprint sensor obtains a complete image of the fingerprint or an image of the fingerprint compares the image with the template image, when the fingerprint sensor recognizes When the fingerprint is incomplete, 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 the image that is not the fingerprint, the mobile terminal is wasted. resource of.

technical problem

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

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 of each row in the preset area of the acquired image;

Determining whether the acquired image contains a valid image according to the number of pixels of each row, and if so, comparing the acquired valid image 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 pixels of each row in a preset area of the acquired image;

The determining module is configured to determine, according to the number of pixels of each row, whether the acquired image includes a valid image, and if yes, compare the acquired valid 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 a fingerprint identifying device connected to the fingerprint sensor;

The fingerprint identification device includes:

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 pixels of each row in a preset area of the acquired image;

The determining module is configured to determine, according to the number of pixels of each row, whether the acquired image includes a valid image, and if yes, compare the acquired valid 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 each row in the preset area of the image acquired by the fingerprint sensor, and determine the acquired image according to the number of pixels in each row. Whether to include a valid image, and if so, compare the obtained valid image with the template image. After the image sensor acquires the image, the acquired image is not directly compared with the template image, but the acquired image is first determined to contain a valid image, and the acquired image will only be acquired when the acquired image contains a valid image. The effective 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; and avoiding the mobile terminal caused by the fingerprint sensor not acquiring the image of the fingerprint The problem of wasted resources can bring convenience to users 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 in a preferred embodiment of the present invention.

BEST MODE FOR CARRYING OUT THE INVENTION

The present invention will be further described in detail below with reference to the accompanying drawings and 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.

The invention provides a fingerprint identification method, which comprises:

Acquiring images using a fingerprint sensor;

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

Determining whether the acquired image contains a valid image according to the number of pixels of each row, and if so, comparing the acquired valid image with the template image.

In some embodiments, determining whether the acquired image includes a valid image according to the number of pixels of each row includes:

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

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

Acquiring an image once every first preset time period by using the fingerprint sensor,

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

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

In some embodiments, determining whether the acquired image includes a valid image according to the number of pixels of each row includes:

Determining, in each time, the value of N in the image acquired by the fingerprint sensor, where the number of the pixels in the first row to the Nth row is less than or equal to the second preset value corresponding to the corresponding row;

Calculating a change value of N in the second preset time period, where the second preset time period is greater than the first preset time period;

It is judged whether the change value of N is less than or equal to the third preset value, and if so, it is determined that the image acquired at the last moment is a valid image.

In some embodiments, determining whether the acquired image includes a valid image according to the number of pixels of each row includes:

Determining, in each time, the value of M in the image acquired by the fingerprint sensor, wherein the number of the pixels in the Mth row to the last row is equal to or greater than a fourth preset value corresponding to the corresponding row;

Calculating a change value of M in the third preset time period, wherein the third preset time period is greater than the first preset time period;

It is judged whether the change value of M is less than or equal to the fifth preset value, and if so, the image acquired at the last moment 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, after determining whether the acquired image includes a valid image according to the number of pixels in each row, the method further includes:

If not, the image is retrieved again 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.

The invention provides a fingerprint identification device, which comprises:

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 pixels of each row in a preset area of the acquired image;

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

In some embodiments, wherein the determining module comprises:

The first determining unit is configured to determine whether the number of pixels of each row is greater than or equal to a first preset value corresponding to the corresponding row, and if yes, the acquired image includes a valid image.

In some embodiments, wherein the image acquisition module comprises:

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

The pixel number calculation module includes:

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

In some embodiments, the determining module comprises:

a first determining unit, configured to determine a value of N in the image acquired by the fingerprint sensor at each moment, where the number of the pixels in the first row to the Nth row is less than or equal to the second preset corresponding to the corresponding row value;

a first calculating unit, configured to calculate a change value of N in the second preset time period, where the second preset time period is greater than the first preset time period;

The second determining unit is configured to determine whether the change value of N is less than or equal to the third preset value, and if yes, determine that the image acquired at the last moment is a valid image.

In some embodiments, the determining module comprises:

a second determining unit, configured to determine a value of M in the image acquired by the fingerprint sensor at each moment, wherein the number of the pixels in the Mth row to the last row is equal to or greater than a fourth preset value corresponding to the corresponding row ;

a second calculating unit, configured to calculate a change value of M in the third preset time period, where the third preset time period is greater than the first preset time period;

The third determining unit is configured to determine whether the change value of M is less than or equal to the fifth preset value, and if yes, the image acquired at the last moment 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.

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

The present invention also provides a mobile terminal, comprising: a fingerprint sensor, and an identification device of a fingerprint connected to the fingerprint sensor;

The fingerprint identification device includes:

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 pixels of each row in a preset area of the acquired image;

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

In some embodiments, the determining module comprises:

The first determining unit is configured to determine whether the number of pixels of each row is greater than or equal to a first preset value corresponding to the corresponding row, and if yes, the acquired image includes a valid image.

In some embodiments, the image acquisition module includes:

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

The pixel number calculation module includes:

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

In some embodiments, the determining module comprises:

a first determining unit, configured to determine a value of N in the image acquired by the fingerprint sensor at each moment, where the number of the pixels in the first row to the Nth row is less than or equal to the second preset corresponding to the corresponding row value;

a first calculating unit, configured to calculate a change value of N in the second preset time period, where the second preset time period is greater than the first preset time period;

The second determining unit is configured to determine whether the change value of N is less than or equal to the third preset value, and if yes, determine that the image acquired at the last moment is a valid image.

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 pixels of each row 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 contains a valid image according to the number of pixels in each row, and if yes, compare the obtained valid image with the template image.

Determining whether the acquired image includes a valid image according to the number of pixels of each row in the preset area of the acquired image obtained above, and only if the acquired image includes a valid image, the acquired effective image and the template image are performed. Compared.

Through the above solution, after the fingerprint sensor acquires the image, the acquired image is not directly compared with the template image, but the number of pixels of each row in the preset region of the image acquired by the fingerprint sensor is calculated, and according to each row The number of pixels determines whether the acquired image contains a valid image. Only when the acquired image contains a valid image, the obtained effective image is compared with the template image, thereby avoiding the complete image obtained by the fingerprint sensor not being the fingerprint. The fingerprint recognition fails, which causes inconvenience to the user; and 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 method for identifying a fingerprint according to a second embodiment of the present invention. The second embodiment is optimized based on the foregoing embodiment 1. In the second embodiment, the pixel according to each line in step 103 is used. The number of the judged whether the acquired image contains a valid image is optimized to determine whether the number of pixels of each line is greater than or equal to the first preset value corresponding to the corresponding row. As shown in Figure 2, the method includes:

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

Step 202: Calculate the number of pixels of each row in the preset area of the acquired image.

Step 203: Determine whether the number of pixels in each row is greater than or equal to a first preset value corresponding to the corresponding row. If yes, the acquired image includes a valid image, and compare the obtained valid image with the template image.

Comparing the number of pixels of each row in the preset area of the obtained image obtained by the above calculation with the first preset value corresponding to the corresponding row, if the number of the pixels of each row is greater than or equal to the corresponding row A preset value, the acquired image contains a valid image, and at this time, the obtained valid image is compared with the template image.

The first preset value corresponding to each row may be the same or different. Since the fingerprints of different regions of the finger are not the same, the first preset value corresponding to each row is preferably different, and the corresponding number of each row is different. A preset value may be partially the same and partially different. Since the user places a finger on the fingerprint sensor, the portion of the edge of the finger cannot be in good contact with the fingerprint sensor (ie, the number of pixels in the edge region of the acquired image is small), and therefore, the first pre-corresponding to each row The relationship of the values is preferably that the first preset value corresponding to each row of the edge regions of the acquired image is smaller than the first preset value corresponding to each row of the remaining regions except the edge region.

On the basis of the first embodiment, the obtained image includes the valid image only when the number of pixels in each row in the preset area of the acquired image is greater than or equal to the first preset value corresponding to the corresponding row. The valid image obtained will be compared with the template image. It is ensured that the number of pixels in each row in the preset area of the acquired image reaches a certain number, thereby further ensuring that the acquired image contains a valid image.

It can be understood that whether the image obtained by the foregoing determination includes the effective image is implemented by determining whether the number of pixels of each row of the preset region of the acquired image is greater than or equal to a first preset value corresponding to the corresponding row, and The method can be implemented by determining whether the number of pixel points of the partial row of the preset area of the acquired image is greater than or equal to the first preset value corresponding to the corresponding row.

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 preferably: continuous. Obtaining an image; determining whether the acquired image contains a valid image according to the number of pixels of each row in step 103 is optimized to determine whether the image acquired at each moment contains a valid image. As shown in FIG. 3, the method includes:

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

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

Step 302: Calculate the number of pixels of each row in the preset area of the image acquired by the fingerprint sensor at each moment.

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

Step 303: Determine a value of N in the image acquired by the fingerprint sensor at each moment, where the number of the pixel points in the first row to the Nth row is less than or equal to the second preset value corresponding to the corresponding row.

The value of N in each acquired image is determined according to the number of pixels of each row in the preset region of the image acquired at each time obtained as described above, and the value of N in each acquired image is determined.

The first line can be the top line of the acquired image, or the bottom line of the acquired image.

The second preset value corresponding to each row may be the same or different. Since the fingerprints of different regions of the finger are not the same, the second preset value corresponding to each row is preferably different, and the corresponding number of each row The two preset values may be partially the same and the parts are different. Since the user places a finger on the fingerprint sensor, the portion of the edge of the finger cannot be in good contact with the fingerprint sensor (ie, the number of pixels in the edge region of the acquired image is small), and therefore, the second pre-corresponding to each row The relationship of the values is preferably that the second preset value corresponding to each row of the edge regions of the acquired image is smaller than the second preset value corresponding to each row of the remaining regions except the edge region.

Step 304: Calculate a change value of N in the second preset time period, where the second preset time period is greater than the first preset time period.

The change value of N in the second preset time period is calculated according to the value of N in the image acquired at each moment determined above.

It can be understood that in order to obtain the change value of N in a certain period of time, it is necessary to have at least two N values in the period of time, that is, there are at least two acquired images in the period of time, therefore, only When the second preset time period is greater than the first preset time period, the number of images acquired in the second preset time period is equal to or greater than two.

Step 305: Determine whether the change value of N is less than or equal to the third preset value. If yes, determine that the image acquired at the last moment is a valid image, and compare the obtained valid image with the template image.

The change value of N obtained above is compared with a third preset value. If the change value of N is less than or equal to the third preset value, it is determined that the image acquired at the last moment is a valid image.

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

For the back touch type fingerprint sensor (ie, the fingerprint sensor is located on the back side of the mobile terminal), the user is accustomed to moving the finger upward from the lower side of the fingerprint sensor to realize placing the finger on the fingerprint sensor, so that the user does not When the finger is completely placed on the fingerprint sensor, the number of pixels in the lower area in the image acquired by the fingerprint sensor is larger, and the number of pixels in the upper area is smaller. In addition, in the process of moving the finger, the number of pixels is smaller. The area of the lower area is larger and larger; the area of the upper area where the number of pixels is smaller is smaller and smaller. When the user completely places the finger on the fingerprint sensor and stops moving, the area of the lower area with a larger number of pixels The amount of change and the amount of change in the area of the upper area where the number of pixels is small is almost zero. In the above solution, when the top row of the acquired image is the first row, since the number of the pixels in the first row to the Nth row is less than or equal to the second preset value corresponding to the corresponding row, the image is acquired. In the process, the number of pixels in the lower area of the acquired image is larger, and the number of pixels in the upper area is smaller; if the change value of N in the second preset time period is less than or equal to the third preset value, It is indicated that the amount of change in the area of the lower area with a larger number of pixels and the change in the area of the upper area where the number of pixels is smaller is smaller. At this time, the acquired image is relatively stable and is a complete image of the fingerprint (ie, an effective image). . Therefore, the fingerprint identification method provided by the third embodiment of the present invention is adapted to the back touch type fingerprint sensor.

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 preferably: continuous. Obtaining an image; determining whether the acquired image contains a valid image according to the number of pixels of each row in step 103 is optimized to determine whether the image acquired at each moment contains a valid image. As shown in FIG. 4, the method includes:

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

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

Step 402: Calculate the number of pixels of each row in the preset area of the image acquired by the fingerprint sensor at each moment.

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

Step 403: Determine a value of M in the image acquired by the fingerprint sensor at each moment, where the number of the pixel points from the Mth row to the last row is equal to or greater than a fourth preset value corresponding to the corresponding row.

The value of M in each acquired image is determined according to the number of pixels of each row in the preset region of the image acquired at each time obtained as described above, and the value of M in each acquired image is determined.

The first line can be the top line of the acquired image, or the bottom line of the acquired image.

The fourth preset value corresponding to each row may be the same or different. Since the fingerprints of different regions of the finger are not the same, the fourth preset value corresponding to each row is preferably different, and the corresponding number of each row The four preset values may be partially identical and partially different. Since the user places a finger on the fingerprint sensor, the portion of the edge of the finger cannot be in good contact with the fingerprint sensor (ie, the number of pixels in the edge region of the acquired image is small), and therefore, the fourth pre-corresponding to each row The relationship of the values is preferably that the fourth preset value corresponding to each row of the edge regions of the acquired image is smaller than the fourth preset value corresponding to each row of the remaining regions except the edge region.

Step 404: Calculate a change value of M in the third preset time period, where the third preset time period is greater than the first preset time period.

The change value of M in the third preset time period is calculated according to the value of M in the image acquired at each time determined above.

It can be understood that in order to obtain the change value of M in a certain period of time, it is necessary to have at least two M values in the period of time, that is, there are at least two acquired images in the period of time, therefore, only When the third preset time period is greater than the first preset time period, the number of images acquired in the third preset time period is equal to or greater than two.

Step 405: Determine whether the change value of M is less than or equal to a fifth preset value. If yes, the image acquired at the last moment is a valid image.

The change value of M obtained above is compared with the fifth preset value. If the change value of M is less than or equal to the fifth preset value, it is determined that the image acquired at the last moment is a valid image.

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

For the back touch type fingerprint sensor (ie, the fingerprint sensor is located on the back side of the mobile terminal), the user is accustomed to moving the finger upward from the lower side of the fingerprint sensor to realize placing the finger on the fingerprint sensor, so that the user does not When the finger is completely placed on the fingerprint sensor, the number of pixels in the lower area in the image acquired by the fingerprint sensor is larger, and the number of pixels in the upper area is smaller. In addition, in the process of moving the finger, the number of pixels is smaller. The area of the lower area is larger and larger; the area of the upper area where the number of pixels is smaller is smaller and smaller. When the user completely places the finger on the fingerprint sensor and stops moving, the area of the lower area with a larger number of pixels The amount of change and the amount of change in the area of the upper area where the number of pixels is small is almost zero. In the above solution, when the bottom row of the acquired image is the last row, since the number of pixel points from the Mth row to the last row is equal to or greater than the fourth preset value corresponding to the corresponding row, the process of acquiring the image is performed. The number of pixels in the lower area of the acquired image is larger, and the number of pixels in the upper area is smaller; if the change value of M in the third preset time period is less than or equal to the fifth preset value, the pixel is indicated The amount of change in the area of the lower area with a larger number of points and the change of the area of the upper area with a smaller number of pixels are smaller. At this time, the acquired image is relatively stable and is a complete image of the fingerprint (ie, an effective image). Therefore, the fingerprint identification method provided by the fourth embodiment of the present invention is adapted to the back touch type fingerprint sensor.

The fingerprint identification method provided by the third embodiment of the present invention determines the acquired image based on the value of N. The fingerprint identification method provided by the fourth embodiment of the present invention determines the acquired image based on the value of M. It should be noted that, when determining whether the acquired image includes a valid image, it may be combined with the value of N and the value of M, that is, after the image is continuously acquired, the preset of the image acquired at each moment according to the calculation is obtained. The number of pixels in each row in the region simultaneously determines the value of X in the image acquired at each moment, wherein the number of pixels in the first row to the Xth row is less than or equal to the X1 preset corresponding to the corresponding row. The value of the pixel from the Xth row to the last row is equal to or greater than the X2 preset value corresponding to the corresponding row, and then calculates the change value of X in the preset time period, and finally determines whether the change value of X is smaller than the X3 pre-predetermined value. Set the value, and if so, the acquired image includes a valid image.

Embodiment 5

FIG. 5 is a schematic flowchart of a method for identifying a fingerprint according to Embodiment 5 of the present invention. The fifth embodiment is optimized based on the foregoing Embodiment 1. In the fifth embodiment, the pixel according to each line in step 103 is used. The number determines whether the acquired image contains a valid image and is optimized to: further include, if not, reacquiring the image using the fingerprint sensor. As shown in FIG. 5, the method includes:

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

Step 502: Calculate the number of pixels of each row in the preset area of the acquired image.

Step 503: Determine whether the acquired image includes a valid image according to the number of pixels in each row, and if yes, perform step 504, compare the obtained valid image with the template image; if not, perform step 505, using the fingerprint sensor Reacquire the image.

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 quantity of pixels in each row in the preset area of the acquired image; and the determining module 603 is configured to The number of pixels of the line determines whether the acquired image contains a valid image, and if so, compares the obtained valid image with the template image.

Through the above solution, after the fingerprint sensor acquires the image, the acquired image is not directly compared with the template image, but the number of pixels of each row in the preset region of the image acquired by the fingerprint sensor is calculated, and according to each row The number of pixels determines whether the acquired image contains a valid image. Only when the acquired image contains a valid image, the obtained effective image is compared with the template image, thereby avoiding the complete image obtained by the fingerprint sensor not being the fingerprint. The fingerprint recognition fails, which causes inconvenience to the user; and 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.

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

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

Preferably, the determining module 603 can include: a first determining unit, a first calculating unit, and a second determining unit.

The first determining unit is configured to determine a value of N in the image acquired by the fingerprint sensor at each moment, where the number of the pixels in the first row to the Nth row is less than or equal to the second preset corresponding to the corresponding row. The first calculating unit is configured to calculate a change value of N in the second preset time period, wherein the second preset time period is greater than the first preset time period; and the second determining unit is configured to determine the change value of the N Whether it is less than or equal to the third preset value, and if so, it is determined that the image acquired at the last moment is a valid image.

Preferably, the determining module 603 can include: a second determining unit, a second calculating unit, and a third determining unit.

The second determining unit is configured to determine a value of M in the image acquired by the fingerprint sensor at each moment, where the number of the pixels in the Mth row to the last row is equal to or greater than a fourth preset value corresponding to the corresponding row. a second calculating unit, configured to calculate a change value of M in the third preset time period, wherein the third preset time period is greater than the first preset time period; and the third determining unit is configured to determine whether the change value of M is It is less than or equal to the fifth preset value, and if so, the image acquired at the last moment 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 determining module is further configured to reacquire the image using the fingerprint sensor if not.

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

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, the embodiment of the present invention further provides a mobile terminal 70. As shown in FIG. 7, the mobile terminal 70 includes the fingerprint identification device 701 provided by the sixth embodiment of the present invention, which can perform the first embodiment to the fifth embodiment of the present invention. A fingerprint identification method provided and a fingerprint sensor 702. 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 702, but calculates the pixel point of each row in the preset area of the image acquired by the fingerprint sensor 702. The number of pixels, and whether the acquired image contains a valid image according to the number of pixels in each row, only when the acquired image contains a valid image, the obtained effective image is compared with the template image, thereby avoiding the fingerprint sensor 702 The fingerprint recognition failure caused by the complete image of the fingerprint is not obtained, thereby causing inconvenience to the user; and the problem that the fingerprint sensor 702 acquires the image of the mobile terminal that is not the image of the fingerprint is avoided, thereby facilitating the user. And save resources.

The identification device 701 of the fingerprint includes:

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 pixels of each row in a preset area of the acquired image;

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

Preferably, the determining module comprises:

The first determining unit is configured to determine whether the number of pixels of each row is greater than or equal to a first preset value corresponding to the corresponding row, and if yes, the acquired image includes a valid image.

a first determining unit, configured to determine a value of N in the image acquired by the fingerprint sensor at each moment, where the number of the pixels in the first row to the Nth row is less than or equal to the second preset corresponding to the corresponding row value.

The first calculating unit is configured to calculate a change value of N in the second preset time period, wherein the second preset time period is greater than the first preset time period.

The second determining unit is configured to determine whether the change value of N is less than or equal to the third preset value, and if yes, determine that the image acquired at the last moment is a valid image.

Preferably, the image acquisition module comprises:

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

The pixel number calculation module includes:

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

In addition, the mobile terminal 70 provided in this embodiment may further include: radio frequency (RF, Radio) Frequency circuit, memory, input unit, display unit, sensor, audio circuit, wireless fidelity (WiFi, Wireless) including one or more computer readable storage media Fidelity modules, including processors with one or more processing cores, and power supplies.

Alternatively, the identification device 701 of the fingerprint may be integrated in the processor.

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.

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.

Claims (20)

1. A method for identifying a fingerprint, comprising:

   Acquiring images using a fingerprint sensor;

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

   Determining whether the acquired image contains a valid image according to the number of pixels of each row, and if so, comparing the acquired valid image with the template image.
2. The method according to claim 1, wherein determining whether the acquired image contains a valid image according to the number of pixels of each row comprises:

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

   Acquiring an image once every first preset time period by using the fingerprint sensor,

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

   The number of pixels of each row in the preset area of the image acquired by the fingerprint sensor at each moment is calculated.
4. The method according to claim 3, wherein determining whether the acquired image contains a valid image according to the number of pixels of each row comprises:

   Determining, in each time, the value of N in the image acquired by the fingerprint sensor, where the number of the pixels in the first row to the Nth row is less than or equal to the second preset value corresponding to the corresponding row;

   Calculating a change value of N in the second preset time period, where the second preset time period is greater than the first preset time period;

   It is judged whether the change value of N is less than or equal to the third preset value, and if so, it is determined that the image acquired at the last moment is a valid image.
5. The method according to claim 3, wherein determining whether the acquired image contains a valid image according to the number of pixels of each row comprises:

   Determining, in each time, the value of M in the image acquired by the fingerprint sensor, wherein the number of the pixels in the Mth row to the last row is equal to or greater than a fourth preset value corresponding to the corresponding row;

   Calculating a change value of M in the third preset time period, wherein the third preset time period is greater than the first preset time period;

   It is judged whether the change value of M is less than or equal to the fifth preset value, and if so, the image acquired at the last moment is a valid image.
6. 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.
7. The method according to any one of claims 1 to 6, wherein, after determining whether the acquired image contains a valid image according to the number of pixels of each row, the method further comprises:

   If not, the image is retrieved again using the fingerprint sensor.
8. 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.
9. 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 pixels of each row in a preset area of the acquired image;

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

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

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

    The pixel number calculation module includes:

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

    a first determining unit, configured to determine a value of N in the image acquired by the fingerprint sensor at each moment, where the number of the pixels in the first row to the Nth row is less than or equal to the second preset corresponding to the corresponding row value;

    a first calculating unit, configured to calculate a change value of N in the second preset time period, where the second preset time period is greater than the first preset time period;

    The second determining unit is configured to determine whether the change value of N is less than or equal to the third preset value, and if yes, determine that the image acquired at the last moment is a valid image.
13. The apparatus of claim 11 wherein said determining module comprises:

    a second determining unit, configured to determine a value of M in the image acquired by the fingerprint sensor at each moment, wherein the number of the pixels in the Mth row to the last row is equal to or greater than a fourth preset value corresponding to the corresponding row ;

    a second calculating unit, configured to calculate a change value of M in the third preset time period, where the third preset time period is greater than the first preset time period;

    The third determining unit is configured to determine whether the change value of M is less than or equal to the fifth preset value, and if yes, the image acquired at the last moment is a valid image.
14. 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.
15. The apparatus according to any one of claims 9-14, wherein the determining module is further configured to reacquire an image using the fingerprint sensor if not.
16. 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.
17. A mobile terminal, a fingerprint sensor thereof, and an identification device for a fingerprint connected to the fingerprint sensor;

    The fingerprint identification device includes:

    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 pixels of each row in a preset area of the acquired image;

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

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

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

    The pixel number calculation module includes:

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

    a first determining unit, configured to determine a value of N in the image acquired by the fingerprint sensor at each moment, where the number of the pixels in the first row to the Nth row is less than or equal to the second preset corresponding to the corresponding row value;

    a first calculating unit, configured to calculate a change value of N in the second preset time period, where the second preset time period is greater than the first preset time period;

    The second determining unit is configured to determine whether the change value of N is less than or equal to the third preset value, and if yes, determine that the image acquired at the last moment is a valid image.