WO2017214793A1

WO2017214793A1 - Fingerprint template generation method and apparatus

Info

Publication number: WO2017214793A1
Application number: PCT/CN2016/085546
Authority: WO
Inventors: 纪传舜; 杜慧; 葛琦
Original assignee: 北京小米移动软件有限公司
Priority date: 2016-06-13
Filing date: 2016-06-13
Publication date: 2017-12-21
Also published as: CN106104575B; CN106104575A

Abstract

A fingerprint template generation method and apparatus, relating to the field of fingerprint recognition. The method comprises: during an input process of a target fingerprint, adding an ith fingerprint image collected by a fingerprint recognition sensor to a candidate fingerprint image set corresponding to the target fingerprint, wherein i≥2 (101); calculating the similarity between the ith fingerprint image and a jth fingerprint image in the candidate fingerprint image set, wherein j＜i (103); if the similarity between the ith fingerprint image and the jth fingerprint image is greater than a similarity threshold value, deleting the ith fingerprint image or the jth fingerprint image from the candidate fingerprint image set (105); detecting whether the amount of information contained in the candidate fingerprint image set reaches a threshold value (107); and when the amount of information contained in the candidate fingerprint image set reaches the threshold value, generating a fingerprint template according to various fingerprint images in the candidate fingerprint image set (109). The problems in the related art where a generated fingerprint template is only suitable for partial fingerprint regions and where the success rate of fingerprint recognition is affected are solved.

Description

Fingerprint template generation method and device

Technical field

The present disclosure relates to the field of fingerprint recognition, and in particular, to a fingerprint template generation method and apparatus.

Background technique

With the continuous development of mobile terminals, fingerprint recognition is widely used in mobile terminals such as smart phones and tablet computers to ensure the security of personal information of users.

Fingerprint recognition usually includes a fingerprint entry phase and a fingerprint recognition phase. When performing fingerprint input, for the fingerprint on the same finger, the user enters the fingerprint on the fingerprint recognition sensor according to the prompt of the mobile terminal, and the mobile terminal splices the fingerprint images collected by the fingerprint recognition sensor to generate corresponding fingerprints. The fingerprint template is used by the mobile terminal to detect whether the fingerprint image collected by the fingerprint recognition sensor matches the fingerprint template, and if the fingerprint image matches the fingerprint template, the fingerprint identification is determined. However, by repeatedly recording the fingerprint image of the same area to generate a fingerprint template, the generated fingerprint template is only applicable to a part of the fingerprint area, which affects the success rate of fingerprint recognition.

Summary of the invention

The present disclosure provides a fingerprint template generation method and apparatus. The technical solution is as follows:

In a first aspect, a method for generating a fingerprint template is provided, the method comprising:

In the process of inputting the target fingerprint, the ith fingerprint image collected by the fingerprint recognition sensor is added to the candidate fingerprint image set corresponding to the target fingerprint, i≥2, and i is a natural number;

Calculating the similarity between the i-th fingerprint image and the j-th fingerprint image in the candidate fingerprint image set, j<i, and j is a natural number;

If the similarity between the i-th fingerprint image and the j-th fingerprint image is greater than the similarity threshold, deleting the i-th fingerprint image or the j-th fingerprint image from the candidate fingerprint image set;

Detecting whether the amount of information included in the candidate fingerprint image set reaches a threshold;

When the amount of information included in the candidate fingerprint image set reaches a threshold, a fingerprint template is generated according to each fingerprint image in the candidate fingerprint image set.

Optionally, deleting the i-th fingerprint image or the j-th fingerprint image from the candidate fingerprint image set, the package include:

Acquiring image quality of each of the i-th fingerprint image and the j-th fingerprint image;

If the image quality of the i-th fingerprint image is higher than the image quality of the j-th fingerprint image, deleting the j-th fingerprint image from the candidate fingerprint image set;

If the image quality of the i-th fingerprint image is lower than the image quality of the j-th fingerprint image, the i-th fingerprint image is deleted from the candidate fingerprint image set.

Optionally, acquiring image quality of each of the i-th fingerprint image and the j-th fingerprint image includes:

Obtaining a fingerprint image area of each of the i-th fingerprint image and the j-th fingerprint image;

Obtaining a number of fingerprint feature points of each of the i-th fingerprint image and the j-th fingerprint image;

Calculating a feature point density of each of the i-th fingerprint image and the j-th fingerprint image according to the fingerprint image area and the number of fingerprint feature points;

The image quality is determined according to the feature point density, and the feature point density is proportional to the image quality.

Optionally, detecting whether the amount of information included in the candidate fingerprint image set reaches a threshold includes:

Determining whether the number of fingerprint images in the candidate fingerprint image set reaches a first threshold; if the number of fingerprint images in the candidate fingerprint image set reaches a first threshold, determining that the amount of information included in the candidate fingerprint image set reaches a threshold;

and / or,

Detecting whether the sum of the fingerprint feature points of each fingerprint image in the candidate fingerprint image set reaches a second threshold; if the sum of the fingerprint feature points of each fingerprint image in the candidate fingerprint image set reaches a second threshold, determining that the information amount of the candidate fingerprint image set reaches Threshold value

and / or,

It is determined whether the total fingerprint area of each fingerprint image in the candidate fingerprint image set reaches a third threshold; if the total fingerprint area of each fingerprint image in the candidate fingerprint image set reaches a third threshold, it is determined that the information amount included in the candidate fingerprint image set reaches a threshold.

Optionally, calculating a similarity between the i-th fingerprint image and the j-th fingerprint image in the candidate fingerprint image set, including:

Obtaining a fingerprint feature point position of each of the i-th fingerprint image and the j-th fingerprint image;

The similarity is weighted according to the ratio of the area of the fingerprint image, and/or the ratio of the number of fingerprint feature points, and/or the degree of matching of the fingerprint feature point positions.

Optionally, the method further includes:

When the i-th fingerprint image is deleted from the candidate fingerprint image set, the first prompt information is displayed, where the first prompt information is used to indicate that the i-th fingerprint image and the j-th fingerprint image correspond to the same fingerprint region;

When the jth fingerprint image is deleted from the candidate fingerprint image set, the second prompt information is displayed, and the second prompt information is used to indicate that the jth fingerprint image has been replaced with the ith fingerprint image.

Optionally, the method further includes:

When the number of deleted fingerprint images reaches the fourth threshold, the third prompt information is displayed, and the third prompt information is used to indicate that the fingerprint entry fails.

In a second aspect, a fingerprint template generating apparatus is provided, the apparatus comprising:

The adding module is configured to add the ith fingerprint image collected by the fingerprint recognition sensor to the candidate fingerprint image set corresponding to the target fingerprint during the input process of the target fingerprint, i≥2, and i is a natural number;

a calculation module configured to calculate a similarity between the i-th fingerprint image and the j-th fingerprint image in the candidate fingerprint image set, j<i, and j is a natural number;

The deleting module is configured to delete the i-th fingerprint image or the j-th fingerprint image from the candidate fingerprint image set if the similarity between the i-th fingerprint image and the j-th fingerprint image is greater than a similarity threshold;

a detecting module configured to detect whether the amount of information included in the candidate fingerprint image set reaches a threshold;

The generating module is configured to generate a fingerprint template according to each fingerprint image in the candidate fingerprint image set when the amount of information included in the candidate fingerprint image set reaches a threshold.

Optionally, deleting the module includes:

Obtaining a submodule configured to acquire image quality of each of the i-th fingerprint image and the j-th fingerprint image;

The first deleting submodule is configured to delete the jth fingerprint image from the candidate fingerprint image set if the image quality of the i th fingerprint image is higher than the image quality of the j th fingerprint image;

The second deletion sub-module is configured to delete the i-th fingerprint image from the candidate fingerprint image set if the image quality of the i-th fingerprint image is lower than the image quality of the j-th fingerprint image.

Optionally, obtaining a submodule, including:

An area obtaining submodule configured to acquire a fingerprint image area of each of the i-th fingerprint image and the j-th fingerprint image;

a quantity acquisition submodule configured to acquire a number of fingerprint feature points of each of the i-th fingerprint image and the j-th fingerprint image;

The density calculation sub-module is configured to calculate the i-th based on the fingerprint image area and the number of fingerprint feature points a feature point density of each of the fingerprint image and the j-th fingerprint image;

The determining sub-module is configured to determine the image quality according to the feature point density, and the feature point density is proportional to the image quality.

Optionally, the detecting module comprises:

The first detecting submodule is configured to detect whether the number of fingerprint images in the candidate fingerprint image set reaches a first threshold; if the number of fingerprint images in the candidate fingerprint image set reaches a first threshold, determining that the amount of information included in the candidate fingerprint image set reaches a threshold ;

and / or,

a second detecting submodule configured to detect whether a sum of fingerprint feature points of each fingerprint image in the candidate fingerprint image set reaches a second threshold; if the sum of fingerprint feature points of each fingerprint image in the candidate fingerprint image set reaches a second threshold, determining The amount of information contained in the candidate fingerprint image set reaches a threshold;

and / or,

The third detecting sub-module is configured to detect whether the total fingerprint area of each fingerprint image in the candidate fingerprint image set reaches a third threshold; if the total fingerprint area of each fingerprint image in the candidate fingerprint image set reaches a third threshold, determining the candidate fingerprint The amount of information contained in the image set reaches the threshold.

Optionally, the computing module includes:

a first acquiring submodule configured to acquire a fingerprint image area of each of the i-th fingerprint image and the j-th fingerprint image;

a second acquiring submodule configured to acquire a number of fingerprint feature points of each of the i-th fingerprint image and the j-th fingerprint image;

a third acquiring submodule configured to acquire a fingerprint feature point position of each of the i-th fingerprint image and the j-th fingerprint image;

The calculation sub-module is configured to calculate the similarity by weight according to the ratio of the area of the fingerprint image, and/or the ratio of the number of fingerprint feature points, and/or the matching degree of the fingerprint feature point position.

Optionally, the device further includes:

The first display module is configured to display the first prompt information when the ith fingerprint image is deleted from the candidate fingerprint image set, where the first prompt information is used to indicate that the ith fingerprint image and the jth fingerprint image correspond to the same fingerprint region ;

The second display module is configured to display the second prompt information when the j-th fingerprint image is deleted from the candidate fingerprint image set, and the second prompt information is used to indicate that the j-th fingerprint image has been replaced with the ith fingerprint image.

Optionally, the device further includes:

The third display module is configured to display the third prompt information when the number of the deleted fingerprint images reaches the fourth threshold, and the third prompt information is used to indicate that the fingerprint entry fails.

In a third aspect, a fingerprint template generating apparatus is provided, the apparatus comprising:

processor;

a memory for storing processor executable instructions;

Wherein the processor is configured to:

The technical solutions provided by the embodiments of the present disclosure may include the following beneficial effects:

By calculating the similarity between the currently acquired fingerprint image and the previously acquired fingerprint image in the target fingerprint entry phase, and retaining one of the fingerprint images for generating when the similarity between the two fingerprint images is greater than the similarity threshold Fingerprint template; solves the problem of repeatedly generating the fingerprint image of the same area by multiple entry methods to generate a fingerprint template, resulting in the generated fingerprint template only applicable to part of the fingerprint area, affecting the success rate of fingerprint recognition; reaching the fingerprint of the candidate fingerprint image set The fingerprint regions corresponding to the images are different, so that the generated fingerprint template can cover the entire fingerprint region of the target fingerprint, thereby ensuring the quality of the fingerprint template, thereby improving the success rate of fingerprint recognition.

The above general description and the following detailed description are intended to be illustrative and not restrictive.

DRAWINGS

The accompanying drawings, which are incorporated in the claims of the claims

FIG. 1 is a flowchart of a method for generating a fingerprint template provided by an exemplary embodiment;

2A is a flowchart of a method for generating a fingerprint template provided by another exemplary embodiment;

2B is a flowchart of a fingerprint image similarity calculation process involved in the fingerprint template generation method shown in FIG. 2A;

2C is a flowchart of an image quality determining process involved in the fingerprint template generating method shown in FIG. 2A;

2D is a flowchart of a method for generating a fingerprint template provided by still another exemplary embodiment;

2E and 2F are schematic diagrams of interfaces involved in the fingerprint template generation method shown in FIG. 2D;

2G is a flowchart of a method for generating a fingerprint template provided by still another exemplary embodiment;

2H is a schematic diagram of an interface involved in the method for generating a fingerprint template shown in FIG. 2G;

FIG. 3 is a schematic structural diagram of a fingerprint template generating apparatus according to an exemplary embodiment;

FIG. 4 is a schematic structural diagram of a fingerprint template generating apparatus according to another exemplary embodiment;

FIG. 5 is a block diagram of a mobile terminal, according to an exemplary embodiment.

detailed description

The illustrative embodiments will be described in detail herein, examples of which are illustrated in the accompanying drawings. The following description refers to the same or similar elements in the different figures unless otherwise indicated. The embodiments described in the following illustrative embodiments do not represent all embodiments consistent with the present disclosure. Instead, they are merely examples of devices and methods consistent with aspects of the present disclosure as detailed in the appended claims.

A fingerprint template generating method provided by various embodiments of the present disclosure is used for an electronic device configured with a fingerprint recognition sensor, and the electronic device may be a smart phone, a tablet computer, an e-book reader or a portable personal computer or the like. The fingerprint recognition sensor may be a push-type fingerprint recognition sensor (a finger is pressed on the sensor to acquire a fingerprint image) or a sliding fingerprint recognition sensor (a finger is swiped over the sensor to acquire a fingerprint image) or the like, which is not limited by the present disclosure.

In addition, the fingerprint recognition sensor in the electronic device is also electrically connected to the processor and the memory. In the fingerprint entry stage, the fingerprint image collected by the fingerprint recognition sensor is stored in the memory, and the processor generates a corresponding fingerprint template according to the fingerprint image, and stores the fingerprint in the memory; in the fingerprint identification stage, The processor obtains the fingerprint image collected by the fingerprint recognition sensor, matches the fingerprint image with the fingerprint template stored in the memory, and determines to pass the fingerprint verification when the fingerprint image matches the fingerprint template.

For convenience of description, the following embodiments are described by using the fingerprint template generation method for a mobile terminal as an example, and the present disclosure is not limited thereto.

FIG. 1 is a flow chart showing a method of generating a fingerprint template provided by an exemplary embodiment. In this embodiment, the fingerprint template generation method is applied to an electronic device configured with a fingerprint recognition sensor for illustration. The method for generating a fingerprint template includes:

In step 101, in the process of inputting the target fingerprint, the ith fingerprint image collected by the fingerprint recognition sensor is added to the candidate fingerprint image set corresponding to the target fingerprint, i≥2, and i is a natural number.

During the process of inputting the target fingerprint, the mobile terminal adds the first fingerprint image collected by the fingerprint recognition sensor directly to the candidate fingerprint image set corresponding to the target fingerprint, and does not need to perform similarity calculation (the candidate fingerprint image set only Include a fingerprint image); for the ith fingerprint image acquired by the fingerprint recognition sensor, the mobile terminal adds the ith fingerprint image to the candidate fingerprint image set, and calculates the ith fingerprint image and the candidate fingerprint image by step 103 Concentrate the similarity of each fingerprint image that has been stored.

In step 103, the similarity between the i-th fingerprint image and the j-th fingerprint image in the candidate fingerprint image set is calculated, j<i, and j is a natural number.

In a possible implementation manner, the mobile terminal may calculate the similarity between the two fingerprint images according to the shape, the area, the number of fingerprint feature points, and the distribution position of the fingerprint image.

In step 105, if the similarity between the i-th fingerprint image and the j-th fingerprint image is greater than the similarity threshold, the i-th fingerprint image or the j-th fingerprint image is deleted from the candidate fingerprint image set.

For two fingerprint images whose similarity is greater than the preset similarity threshold, the mobile terminal determines that the two fingerprint images correspond to the same fingerprint region of the target fingerprint, and the mobile terminal selectively deletes one fingerprint image, thereby ensuring that each fingerprint image of the candidate fingerprint image is concentrated. Corresponds to different fingerprint areas.

It should be noted that when the similarity between the i-th fingerprint image and the fingerprint image in the candidate fingerprint image set is lower than the lowest similarity threshold (for example, 20%), the mobile terminal determines that the i-th fingerprint image does not belong to the target fingerprint. And deleting the i-th fingerprint image from the candidate fingerprint image set.

In step 107, it is detected whether the amount of information contained in the candidate fingerprint image set reaches a threshold.

Wherein, the amount of information included in the candidate fingerprint image set reaches a threshold value, that is, the number of fingerprint images in the candidate fingerprint image set reaches a first threshold, and/or the fingerprint feature points of each fingerprint image in the candidate fingerprint image set The sum reaches a second threshold, and/or the sum of the fingerprint areas of the fingerprint images in the candidate fingerprint image set reaches a third threshold.

In step 109, when the amount of information included in the candidate fingerprint image set reaches a threshold, a fingerprint template is generated according to each fingerprint image in the candidate fingerprint image set.

In order to ensure the quality of the generated fingerprint template, when the amount of information included in the candidate fingerprint image set reaches a threshold, the mobile terminal generates a corresponding fingerprint template according to each fingerprint image in the candidate fingerprint image set; when the information amount of the candidate fingerprint image set does not exist When the threshold is reached, the mobile terminal instructs the fingerprint recognition sensor to continue collecting fingerprint images until the amount of information reaches a threshold.

In summary, the fingerprint template generation method provided by the embodiment calculates the similarity between the currently acquired fingerprint image and the previously acquired fingerprint image in the target fingerprint input stage, and is similar in the two fingerprint images. When the degree is greater than the similarity threshold, one of the fingerprint images is reserved for generating the fingerprint template; the fingerprint template generated by repeatedly recording the same area is generated by the multiple entry method, and the generated fingerprint template is only applicable to the partial fingerprint area, affecting the fingerprint. The problem of the success rate of recognition; the fingerprint areas corresponding to each fingerprint image in the candidate fingerprint image set are different, so that the generated fingerprint template can cover the entire fingerprint area of the target fingerprint, thereby ensuring the quality of the fingerprint template, thereby improving fingerprint recognition. Success rate.

In order to further improve the quality of the generated fingerprint template, thereby improving the success rate of fingerprint recognition, when the similarity of the two fingerprint images in the candidate fingerprint image set is greater than the similarity threshold, the mobile terminal retains the fingerprint with higher image quality in the two fingerprint images. Image, delete the fingerprint image with lower image quality. The following description will be made using an embodiment.

2A is a flow chart showing a method of generating a fingerprint template provided by another exemplary embodiment. In this embodiment, the fingerprint template generation method is applied to an electronic device configured with a fingerprint recognition sensor for illustration. The method for generating a fingerprint template includes:

In step 201, in the process of inputting the target fingerprint, the ith fingerprint image collected by the fingerprint recognition sensor is added to the candidate fingerprint image set corresponding to the target fingerprint, i≥2, and i is a natural number.

When the target fingerprint is entered, the user uses the target finger to press the fingerprint recognition sensor (for the push-type fingerprint recognition sensor) or slide on the fingerprint recognition sensor (for the sliding fingerprint recognition sensor), so that the fingerprint recognition sensor can collect the fingerprint image of the target finger. . In order to ensure the quality of the fingerprint template generated according to the fingerprint image, the user needs to repeatedly input the target fingerprint multiple times.

For each fingerprint image collected by the fingerprint recognition sensor, the mobile terminal determines it as a candidate finger The image is extracted, and the candidate fingerprint image is added to the candidate fingerprint image set corresponding to the target fingerprint. The fingerprint image in the candidate fingerprint image set is used to generate a fingerprint template corresponding to the target fingerprint.

In step 202, the similarity between the i-th fingerprint image and the j-th fingerprint image in the candidate fingerprint image set is calculated, j<i, and j is a natural number.

In the related art, for each fingerprint image added to the candidate fingerprint image set, the mobile terminal does not need to process the fingerprint image. When the collected fingerprint image reaches a threshold value (for example, 8 photos), the mobile terminal prompts the user to complete fingerprint input. And generating a fingerprint template according to each fingerprint image in the candidate fingerprint image set. Since the fingerprint images in the candidate fingerprint image set are not filtered, when the multiple fingerprint images correspond to the same fingerprint region, the generated fingerprint template can only cover a small portion of the fingerprint region of the target fingerprint (such as the front fingerprint region), resulting in a quality of the fingerprint template. Poor, the success rate of fingerprint recognition using the fingerprint template is also low (for example, the fingerprint template cannot be used to identify the side fingerprint area).

In the fingerprint template generation method provided by the embodiment of the present disclosure, for the ith fingerprint image added to the candidate fingerprint image set, the mobile terminal needs to calculate the similarity between the i-th fingerprint image and other fingerprint images in the candidate fingerprint image set. Thereby, it is determined whether the fingerprint area corresponding to the i-th fingerprint image has been covered. In a possible implementation manner, as shown in FIG. 2B, the mobile terminal calculating the two fingerprint image similarities may include the following steps.

In step 202A, the fingerprint image area of each of the i-th fingerprint image and the j-th fingerprint image is acquired.

Since the user presses the fingerprint recognition sensor (or slides on the fingerprint recognition sensor) in the same posture, the fingerprint image acquired by the fingerprint recognition sensor has a relatively similar area, and therefore, the mobile terminal can acquire the ith fingerprint image and the jth fingerprint image. The area of the respective fingerprint image, and the similarity between the two is calculated.

In step 202B, the number of fingerprint feature points of each of the i-th fingerprint image and the j-th fingerprint image is acquired.

The fingerprint image contains a large number of fingerprint feature points, including the bifurcation point, the triangle point, the end point and the spiral center point of the fingerprint pattern. When the user presses the fingerprint recognition sensor in the same posture, the number of fingerprint feature points included in the fingerprint image collected by the fingerprint recognition sensor is similar. Therefore, the mobile terminal can acquire the fingerprints of the i-th fingerprint image and the j-th fingerprint image. The number of feature points, and the similarity between the two is calculated.

In step 202C, the fingerprint feature point positions of the i-th fingerprint image and the j-th fingerprint image are acquired.

In the same target fingerprint, the fingerprint patterns of different fingerprint regions are quite different. Therefore, there are also large differences in the location distribution of fingerprint feature points on the fingerprint images corresponding to different fingerprint regions. Therefore, the mobile terminal can acquire the fingerprint feature point positions of the i-th fingerprint image and the j-th fingerprint image, and calculate the similarity between the two.

It should be noted that the present disclosure does not limit the method used to identify fingerprint feature points.

In step 202D, the similarity is calculated by weighting according to the ratio of the area of the fingerprint image, and/or the ratio of the number of fingerprint feature points, and/or the matching degree of the fingerprint feature point position.

The mobile terminal calculates the similarity of the two fingerprint images according to at least one of the fingerprint image area, the number of fingerprint feature points, and the fingerprint feature point position acquired in the above steps 202A to 202C.

In a possible implementation, the mobile terminal determines the area similarity of the two fingerprint images according to the ratio of the fingerprint image areas of the two fingerprint images; and determines the ratio of the number of fingerprint feature points corresponding to the two fingerprint images. The similarity degree of the feature points of the two fingerprint images; according to the fingerprint feature point positions corresponding to the two fingerprint images and the predetermined matching algorithm, the mobile terminal calculates the matching degree of the fingerprint feature point positions of the two fingerprint images, thereby determining the feature points of the two fingerprint images Distribution similarity. The mobile terminal performs weighting calculation according to the area similarity, the similarity degree of the feature points, the similarity of the feature point distribution, and the corresponding weight values, and obtains the similarity between the two fingerprint images, wherein the weight value of the area similarity ≤ the feature point The weight value of the quantity similarity ≤ the weight value of the feature point distribution similarity.

Optionally, the correspondence between the ratio of the area of the fingerprint image and the area similarity is pre-stored in the mobile terminal, and the correspondence is schematically shown in Table 1.

Table I

指纹图像面积的比值Ratio of fingerprint image area	面积相似度Area similarity
0.65-0.80.65-0.8	0.70.7
0.8-0.950.8-0.95	0.850.85
0.95-1.00.95-1.0	1.01.0

According to the ratio of the area of the fingerprint image between the two fingerprint images, the mobile terminal can determine the area similarity between the two fingerprint images through Table 1.

Similarly, the correspondence between the ratio of the number of fingerprint feature points and the similarity of the number of feature points is stored in advance in the mobile terminal, and the correspondence is schematically shown in Table 2.

Table II

指纹特征点数量的比值Ratio of the number of fingerprint feature points	特征点数量相似度Feature point quantity similarity
0.6-0.70.6-0.7	0.60.6

0.7-0.90.7-0.9	0.80.8
0.9-1.00.9-1.0	1.01.0

According to the ratio of the number of fingerprint feature points between the two fingerprint images, the mobile terminal can determine the similarity degree of the feature points between the two fingerprint images through Table 2.

For example, the mobile terminal determines that the area similarity between the two fingerprint images is 1.0, the feature point similarity is 0.8, and the feature point distribution similarity is 0.85, when the area similarity weight value is 0.1, and the feature point quantity similarity When the weight value is 0.2, and the weight value of the feature point distribution similarity is 0.7, the similarity of the two fingerprint images is: 1.0*0.1+0.8*0.2+0.95*0.7=0.835.

It should be noted that, in this embodiment, only the mobile terminal calculates the similarity of the fingerprint image according to the above three dimensions as an example. In other possible implementation manners, the mobile terminal may also obtain the fingerprint contour matching degree of the fingerprint image. Aspects are calculated similarly, which is not limited in this embodiment.

In step 203, if the similarity between the i-th fingerprint image and the j-th fingerprint image is greater than the similarity threshold, the image quality of each of the i-th fingerprint image and the j-th fingerprint image is acquired.

When the similarity between the i-th fingerprint image and the j-th fingerprint image is less than the similarity threshold (such as 0.8), the mobile terminal determines that the fingerprint region corresponding to the i-th fingerprint image and the j-th fingerprint image is different, and uses the fingerprint recognition sensor The i+1th fingerprint image is collected. When the similarity between the i-th fingerprint image and the j-th fingerprint image is greater than the similarity threshold, the mobile terminal determines that the i-th fingerprint image and the j-th fingerprint image correspond to the same fingerprint region. And choose to delete a fingerprint image.

For the two fingerprint images of the same fingerprint area, the image quality is different. Therefore, when the fingerprint area corresponding to the jth fingerprint image and the jth fingerprint image are the same, the mobile terminal further determines the retained fingerprint according to the image quality of the two. image. In a possible implementation manner, as shown in FIG. 2C, this step may include the following steps.

In step 203A, the fingerprint image area of each of the i-th fingerprint image and the j-th fingerprint image is acquired.

Similar to the above step 202A, the mobile terminal acquires the fingerprint image area corresponding to each of the two similar fingerprint images.

In step 203B, the number of fingerprint feature points of each of the i-th fingerprint image and the j-th fingerprint image is acquired.

Similar to step 202B above, the mobile terminal acquires the number of fingerprint feature points corresponding to each of the two similar fingerprint images.

In step 203C, the i-th fingerprint is calculated according to the area of the fingerprint image and the number of fingerprint feature points. The feature point density of each of the image and the jth fingerprint image.

Within the unit area, the more the number of fingerprint feature points included in the fingerprint image, the more information the mobile terminal can extract, and the higher the image quality of the fingerprint image. Accordingly, the quality of the fingerprint template generated according to the fingerprint image is also The higher.

The mobile terminal calculates the feature point density corresponding to each of the two similar fingerprint images according to the fingerprint image area and the number of fingerprint feature points acquired in the above steps. Among them, feature point density = number of fingerprint feature points / fingerprint image area.

For example, if the fingerprint image area of the i-th fingerprint image is 0.5 cm ² and the number of fingerprint feature points is 16, the feature point density of the i-th fingerprint image is 16/0.5=32/cm ² ; The fingerprint image area of the j-th fingerprint image acquired by the terminal is 0.49 cm ² , and the number of fingerprint feature points is 14. The feature point density of the j-th fingerprint image is 14/0.49=29/cm ² .

In step 203D, the image quality is determined according to the feature point density, and the feature point density is proportional to the image quality.

The higher the feature point density of the fingerprint image, the higher the image quality of the fingerprint image, and the mobile terminal determines the image quality of the fingerprint image according to the feature point density.

For example, the feature point density of the i-th fingerprint image is 16/0.5=32/cm ² , and the feature point density of the j-th fingerprint image is 14/0.49=29/cm ² , then the image of the i-th fingerprint image The quality is higher than the image quality of the jth fingerprint image.

It should be noted that the present embodiment is described by taking the feature point density as a measure of image quality as an example, and does not limit the present disclosure.

In step 204, if the image quality of the i-th fingerprint image is higher than the image quality of the j-th fingerprint image, the j-th fingerprint image is deleted from the candidate fingerprint image set.

When the image quality of the i-th fingerprint image is higher than the image quality of the j-th fingerprint image, the mobile terminal retains the i-th fingerprint image and deletes the j-th fingerprint image.

In step 205, if the image quality of the i-th fingerprint image is lower than the image quality of the j-th fingerprint image, the i-th fingerprint image is deleted from the candidate fingerprint image set.

When the image quality of the jth fingerprint image is higher than the image quality of the i th fingerprint image, the mobile terminal retains the jth fingerprint image and deletes the i th fingerprint image.

During the target fingerprint entry process, the mobile terminal needs to repeatedly perform the above steps 201 to 205 to ensure that the fingerprint regions corresponding to the respective fingerprint images in the candidate fingerprint image set are different, thereby improving the quality of the generated fingerprint template.

In step 206, it is determined whether the number of fingerprint images in the candidate fingerprint image set reaches a first threshold; if the number of fingerprint images in the candidate fingerprint image set reaches a first threshold, it is determined that the amount of information included in the candidate fingerprint image set reaches a threshold.

In order to ensure that the generated fingerprint template contains sufficient information, the mobile terminal needs to generate a fingerprint template according to the fingerprint images of multiple different fingerprint regions. Therefore, in a possible implementation manner, in the target fingerprint input process, the mobile terminal detects whether the number of fingerprint images in the candidate fingerprint image set reaches a first threshold, and when the number of the fingerprint images reaches the first threshold, the mobile terminal determines the candidate. The fingerprint image set contains a sufficient amount of information, and generates a fingerprint template according to each fingerprint image, and step 209 is performed.

For example, the first threshold may be 6, that is, when the number of fingerprint images in the candidate fingerprint image set reaches 6, the mobile terminal determines that the candidate fingerprint image set contains sufficient information amount.

In step 207, it is detected whether the sum of the fingerprint feature points of each fingerprint image in the candidate fingerprint image set reaches a second threshold; if the sum of the fingerprint feature points of each fingerprint image in the candidate fingerprint image set reaches a second threshold, determining the candidate fingerprint image set The amount of information contained reaches the threshold.

In order to ensure the success rate of the fingerprint identification, the generated fingerprint template needs to contain a sufficient amount of information, and the amount of information may refer to the number of fingerprint feature points included in the fingerprint template.

In a possible implementation manner, in the target fingerprint input process, the mobile terminal detects whether the sum of the fingerprint feature points of each fingerprint image in the candidate fingerprint image set reaches a second threshold, and when the sum of the fingerprint feature points reaches the second threshold, the mobile terminal moves. The terminal determines that the candidate fingerprint image set contains a sufficient amount of information, and generates a fingerprint template according to each fingerprint image, and performs step 209.

For example, the second threshold may be 200, that is, when the sum of the fingerprint feature points of each fingerprint image in the candidate fingerprint image set reaches 200, the mobile terminal determines that the candidate fingerprint image set contains a sufficient amount of information.

In step 208, it is detected whether the total fingerprint area of each fingerprint image in the candidate fingerprint image set reaches a third threshold; if the total fingerprint area of each fingerprint image in the candidate fingerprint image set reaches a third threshold, determining that the candidate fingerprint image set includes The amount of information reaches the threshold.

Generally, the total area of the fingerprint area of the user's finger is in a certain value interval. Therefore, in a possible implementation manner, the mobile terminal detects whether the total fingerprint area of each fingerprint image in the candidate fingerprint image set reaches a third threshold. When the sum of the areas reaches the third threshold, the mobile terminal determines that the candidate fingerprint image set contains a sufficient amount of information, and generates a fingerprint template according to each fingerprint image. Wherein, the third threshold may be n times the upper limit of the specific numerical interval, and n≥2.

For example, the third threshold may be 4 cm ² , that is, when the total fingerprint area of each fingerprint image in the candidate fingerprint image set reaches 4 cm ² , the mobile terminal determines that the candidate fingerprint image set contains a sufficient amount of information.

In step 209, when the amount of information included in the candidate fingerprint image set reaches a threshold, a fingerprint template is generated according to each fingerprint image in the candidate fingerprint image set.

When the mobile terminal generates a fingerprint template according to the plurality of fingerprint images, the adjacency relationship between the fingerprint images may be determined according to the edge feature point distribution of the fingerprint image, and the plurality of fingerprint images are spliced according to the adjacency relationship, thereby generating a fingerprint template. The disclosure does not limit the specific way in which a fingerprint template is generated.

In this embodiment, when two fingerprint images having the same fingerprint area are acquired, the mobile terminal retains the fingerprint image with higher image quality according to the image quality of the fingerprint image, and deletes the fingerprint image with poor image quality. Thereby the quality of the generated fingerprint template is further improved.

In this embodiment, the mobile terminal determines whether the candidate fingerprint image set contains sufficient information amount from three dimensions of the number of fingerprint images, the sum of the fingerprint image area, and the sum of the fingerprint image feature points, and stops acquiring the fingerprint when the candidate fingerprint image set contains sufficient information amount. The image is generated to generate a corresponding fingerprint template, thereby ensuring that the generated fingerprint template contains sufficient information amount, and the recognition success rate when using the fingerprint template for fingerprint recognition is improved.

In order to improve the efficiency of fingerprint entry, when two fingerprint images corresponding to the same fingerprint area are acquired, the mobile terminal displays corresponding prompt information, prompting the user to input fingerprint images of different fingerprint areas. In a possible implementation manner, based on the embodiment shown in FIG. 2A, as shown in FIG. 2D, the above step 204 includes step 211, and the above step 205 includes step 210.

In step 210, when the i-th fingerprint image is deleted from the candidate fingerprint image set, the first prompt information is displayed, and the first prompt information is used to indicate that the i-th fingerprint image and the j-th fingerprint image correspond to the same fingerprint region.

When the first i-th fingerprint image added in the candidate fingerprint image set is deleted, it indicates the j-th entry previously entered. The fingerprint image has covered the fingerprint area indicated by the i-th fingerprint image, and the image effect of the i-th fingerprint image is not as good as the image effect of the j-th fingerprint image. The mobile terminal displays the first prompt information, indicating that the user's i-th fingerprint image and the j-th fingerprint image correspond to the same fingerprint area, and prompts the user to enter the fingerprint image of the other fingerprint area.

For example, as shown in FIG. 2E, the user enters the second fingerprint image according to the prompt, when the second fingerprint image and the first fingerprint image correspond to the same fingerprint region, and the image quality of the first fingerprint image is better than the second fingerprint. At the time of the image, the mobile terminal displays the first prompt information 22 in the fingerprint entry interface 21.

In step 211, when the jth fingerprint image is deleted from the candidate fingerprint image set, the second prompt information is displayed, and the second prompt information is used to indicate that the jth fingerprint image has been replaced with the ith fingerprint image.

When the j-th fingerprint image in the candidate fingerprint image set is deleted, it indicates that the j-th fingerprint image previously recorded has covered the fingerprint region corresponding to the i-th fingerprint image, but the image quality of the i-th fingerprint image is better than the j-th fingerprint The image quality of the image. The mobile terminal displays the second prompt information, prompting the user to replace the j-th fingerprint image with the ith fingerprint image, and prompting the user to enter the fingerprint image of the other fingerprint region.

For example, as shown in FIG. 2F, the user enters the second fingerprint image according to the prompt, when the second fingerprint image and the first fingerprint image correspond to the same fingerprint region, and the image quality of the second fingerprint image is better than the first fingerprint image. At the time of the image, the mobile terminal displays the second prompt information 23 in the fingerprint entry interface 21.

It should be noted that the mobile terminal may further determine an uncovered fingerprint area according to the fingerprint area corresponding to the fingerprint image, and add information of the fingerprint area to the first prompt information or the second prompt information, thereby further The user's fingerprint entry efficiency is improved, and the disclosure does not limit this.

In this embodiment, the mobile terminal uses different prompting manners to prompt the user to enter the fingerprint, so that the user can adjust the posture of entering the fingerprint, improve the efficiency of fingerprint input, and ensure that the fingerprint image entered can cover each fingerprint area.

In order to prevent the user from accidentally re-entering the fingerprint image of the same fingerprint area, the fingerprint input cannot be completed. In a possible implementation manner, when the number of deleted fingerprint images reaches a threshold, the mobile terminal displays corresponding prompt information. Based on the embodiment shown in FIG. 2A, as shown in FIG. 2G, after the above step 204 and step 205, the following steps are further included.

In step 212, when the number of deleted fingerprint images reaches the fourth threshold, the third prompt information is displayed, and the third prompt information is used to indicate that the fingerprint entry fails.

For example, as shown in FIG. 2H, the fourth threshold is 6, that is, when the number of deleted fingerprint images reaches 6 When the mobile terminal displays the third prompt information 24 in the fingerprint entry interface 21, the user is instructed to fail the entry.

In this embodiment, when the number of the deleted fingerprint images reaches the threshold, the mobile terminal displays the corresponding prompt information, and terminates the fingerprint entry, thereby avoiding waste of processing resources caused by the user intentionally repeatedly inputting the fingerprint image of the same fingerprint area.

The following is an apparatus embodiment of the present disclosure, which may be used to implement the method embodiments of the present disclosure. For details not disclosed in the disclosed device embodiments, please refer to the method embodiments of the present disclosure.

FIG. 3 is a schematic structural diagram of a fingerprint template generating apparatus provided by an exemplary embodiment. The fingerprint template generating device may be implemented as a whole or a part of an electronic device configured with a fingerprint recognition sensor by using a dedicated hardware circuit or a combination of software and hardware. The fingerprint template generating device includes:

The adding module 310 is configured to add, in the process of inputting the target fingerprint, the ith fingerprint image collected by the fingerprint recognition sensor to the candidate fingerprint image set corresponding to the target fingerprint, i≥2, and i is a natural number;

The calculating module 320 is configured to calculate a similarity between the i-th fingerprint image and the j-th fingerprint image in the candidate fingerprint image set, j<i, and j is a natural number;

The deleting module 330 is configured to: if the similarity between the i-th fingerprint image and the j-th fingerprint image is greater than a similarity threshold, delete the i-th fingerprint image or the j-th fingerprint image from the candidate fingerprint image set;

The detecting module 340 is configured to detect whether the amount of information included in the candidate fingerprint image set reaches a threshold;

The generating module 350 is configured to generate a fingerprint template according to each fingerprint image in the candidate fingerprint image set when the amount of information included in the candidate fingerprint image set reaches a threshold.

In summary, the fingerprint template generating apparatus provided in this embodiment calculates the similarity between the currently acquired fingerprint image and the previously acquired fingerprint image in the target fingerprint input stage, and is similar in the two fingerprint images. When the degree is greater than the similarity threshold, one of the fingerprint images is reserved for generating the fingerprint template; the fingerprint template generated by repeatedly recording the same area is generated by the multiple entry method, and the generated fingerprint template is only applicable to the partial fingerprint area, affecting the fingerprint. The problem of the success rate of recognition; the fingerprint areas corresponding to each fingerprint image in the candidate fingerprint image set are different, so that the generated fingerprint template can cover the entire fingerprint area of the target fingerprint, thereby ensuring the quality of the fingerprint template, thereby improving fingerprint recognition. Success rate.

FIG. 4 is a schematic structural diagram of a fingerprint template generating apparatus provided by another exemplary embodiment. The The fingerprint template generating device may be implemented as a whole or a part of an electronic device configured with a fingerprint recognition sensor by using a dedicated hardware circuit or a combination of software and hardware. The fingerprint template generating device includes:

The adding module 410 is configured to add the ith fingerprint image collected by the fingerprint recognition sensor to the candidate fingerprint image set corresponding to the target fingerprint during the input process of the target fingerprint, i≥2;

The calculating module 420 is configured to calculate a similarity between the i-th fingerprint image and the j-th fingerprint image in the candidate fingerprint image set, j<i;

The deleting module 430 is configured to: if the similarity between the i-th fingerprint image and the j-th fingerprint image is greater than a similarity threshold, delete the i-th fingerprint image or the j-th fingerprint image from the candidate fingerprint image set;

The detecting module 440 is configured to detect whether the amount of information included in the candidate fingerprint image set reaches a threshold;

The generating module 450 is configured to generate a fingerprint template according to each fingerprint image in the candidate fingerprint image set when the amount of information included in the candidate fingerprint image set reaches a threshold.

Optionally, the deleting module 430 includes:

The obtaining submodule 431 is configured to acquire image quality of each of the i-th fingerprint image and the j-th fingerprint image;

The first deletion sub-module 432 is configured to delete the j-th fingerprint image from the candidate fingerprint image set if the image quality of the i-th fingerprint image is higher than the image quality of the j-th fingerprint image;

The second deletion sub-module 433 is configured to delete the i-th fingerprint image from the candidate fingerprint image set if the image quality of the i-th fingerprint image is lower than the image quality of the j-th fingerprint image.

Optionally, the obtaining submodule 431 includes:

The area obtaining sub-module 431a is configured to acquire a fingerprint image area of each of the i-th fingerprint image and the j-th fingerprint image;

The quantity acquisition sub-module 431b is configured to acquire the number of fingerprint feature points of each of the i-th fingerprint image and the j-th fingerprint image;

The density calculation sub-module 431c is configured to calculate a feature point density of each of the i-th fingerprint image and the j-th fingerprint image according to the fingerprint image area and the number of fingerprint feature points;

The determining sub-module 431d is configured to determine the image quality according to the feature point density, and the feature point density is proportional to the image quality.

Optionally, the detecting module 440 includes:

The first detecting sub-module 441 is configured to detect whether the number of fingerprint images in the candidate fingerprint image set reaches a first threshold; if the number of fingerprint images in the candidate fingerprint image set reaches a first threshold, determining that the amount of information included in the candidate fingerprint image set reaches Threshold value

and / or,

The second detecting sub-module 442 is configured to detect whether the sum of the fingerprint feature points of each fingerprint image in the candidate fingerprint image set reaches a second threshold; if the sum of the fingerprint feature points of each fingerprint image in the candidate fingerprint image set reaches a second threshold, then Determining that the amount of information included in the candidate fingerprint image set reaches a threshold;

and / or,

The third detecting sub-module 443 is configured to detect whether the total fingerprint area of each fingerprint image in the candidate fingerprint image set reaches a third threshold; if the total fingerprint area of each fingerprint image in the candidate fingerprint image set reaches a third threshold, determining the candidate The amount of information contained in the fingerprint image set reaches the threshold

Optionally, the calculating module 420 includes:

The first obtaining submodule 421 is configured to acquire a fingerprint image area of each of the i-th fingerprint image and the j-th fingerprint image;

The second obtaining sub-module 422 is configured to acquire the number of fingerprint feature points of each of the i-th fingerprint image and the j-th fingerprint image;

The third obtaining submodule 423 is configured to acquire a fingerprint feature point position of each of the i-th fingerprint image and the j-th fingerprint image;

The calculation sub-module 424 is configured to calculate the similarity by weight according to the ratio of the area of the fingerprint image, and/or the ratio of the number of fingerprint feature points, and/or the matching degree of the fingerprint feature point position.

Optionally, the device further includes:

The first display module 460 is configured to display the first prompt information when the ith fingerprint image is deleted from the candidate fingerprint image set, where the first prompt information is used to indicate that the ith fingerprint image and the jth fingerprint image correspond to the same fingerprint region;

The second display module 470 is configured to display the second prompt information when the j-th fingerprint image is deleted from the candidate fingerprint image set, and the second prompt information is used to indicate that the j-th fingerprint image has been replaced with the ith fingerprint image.

Optionally, the device further includes:

The third display module 480 is configured to display a third prompt information when the number of deleted fingerprint images reaches a fourth threshold, and the third prompt information is used to indicate that the fingerprint entry fails.

In summary, the fingerprint template generating apparatus provided in this embodiment calculates the similarity between the currently acquired fingerprint image and the previously acquired fingerprint image in the target fingerprint input stage, and is similar in the two fingerprint images. When the degree is greater than the similarity threshold, one of the fingerprint images is reserved for generating the fingerprint template; and the fingerprint template for generating the fingerprint image of the same area is repeatedly generated by the multiple entry method, and the fingerprint template is generated. The generated fingerprint template is only applicable to the partial fingerprint area, which affects the success rate of fingerprint recognition; the fingerprint areas corresponding to each fingerprint image in the candidate fingerprint image set are different, so that the generated fingerprint template can cover the entire fingerprint of the target fingerprint. The area ensures the quality of the fingerprint template, thereby improving the success rate of fingerprint recognition.

With regard to the apparatus in the above embodiments, the specific manner in which the respective modules perform the operations has been described in detail in the embodiment relating to the method, and will not be explained in detail herein.

FIG. 5 is a block diagram of a mobile terminal, according to an exemplary embodiment. For example, the mobile terminal 500 may be a smartphone, a tablet, an e-book reader, or a personal computer or the like configured with a fingerprint recognition sensor.

Referring to FIG. 5, the mobile terminal 500 can include one or more of the following components: a processing component 502, a memory 504, a power component 506, a multimedia component 508, an audio component 510, an input/output (I/O) interface 512, and a sensor component 514, And a communication component 516.

Processing component 502 typically controls the overall operations of mobile terminal 500, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. Processing component 502 can include one or more processors 518 to execute instructions to perform all or part of the steps described above. In addition, The component 502 can include one or more modules to facilitate interaction between the component 502 and other components. For example, processing component 502 can include a multimedia module to facilitate interaction between multimedia component 508 and processing component 502.

The memory 504 is configured to store various types of data to support operation at the mobile terminal 500. Examples of such data include instructions for any application or method operating on the mobile terminal 500, contact data, phone book data, messages, pictures, videos, and the like. The memory 504 can be implemented by any type of volatile or non-volatile storage device, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read only memory (EEPROM), erasable. Programmable Read Only Memory (EPROM), Programmable Read Only Memory (PROM), Read Only Memory (ROM), Magnetic Memory, Flash Memory, Disk or Optical Disk.

Power component 506 provides power to various components of mobile terminal 500. Power component 506 can include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for mobile terminal 500.

The multimedia component 508 includes a screen that provides an output interface between the mobile terminal 500 and the user. In some embodiments, the screen can include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen can be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touches, slides, and gestures on the touch panel. The touch sensor can sense not only the boundaries of the touch or sliding action, but also the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 508 includes a front camera and/or a rear camera. When the mobile terminal 500 is in an operation mode, such as a shooting mode or a video mode, the front camera and/or the rear camera can receive external multimedia data. Each front and rear camera can be a fixed optical lens system or have focal length and optical zoom capabilities.

The audio component 510 is configured to output and/or input an audio signal. For example, the audio component 510 includes a microphone (MIC) that is configured to receive an external audio signal when the mobile terminal 500 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signal may be further stored in memory 504 or transmitted via communication component 516. In some embodiments, audio component 510 also includes a speaker for outputting an audio signal.

The I/O interface 512 provides an interface between the processing component 502 and the peripheral interface module, which may be a keyboard, a click wheel, a button, or the like. These buttons may include, but are not limited to, a home button, a volume button, a start button, and a lock button.

Sensor component 514 includes one or more sensors for providing various aspects of state assessment for mobile terminal 500. For example, sensor component 514 can detect an open/closed state of mobile terminal 500, relative positioning of components, such as a display and keypad of mobile terminal 500, and sensor component 514 can also detect a component of mobile terminal 500 or mobile terminal 500. The location changes, the presence or absence of contact of the user with the mobile terminal 500, the orientation or acceleration/deceleration of the mobile terminal 500, and the temperature change of the mobile terminal 500. Sensor assembly 514 can include a proximity sensor configured to detect the presence of nearby objects without any physical contact. Sensor assembly 514 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor component 514 can also include an acceleration sensor, a gyro sensor, a magnetic sensor, a pressure sensor, or a temperature sensor. In this embodiment, the sensor component 514 includes a fingerprint recognition sensor, which is a push-type fingerprint sensor or a sliding fingerprint recognition sensor (integrated in a button) for collecting a fingerprint image of the user.

Communication component 516 is configured to facilitate wired or wireless communication between mobile terminal 500 and other devices. The mobile terminal 500 can access a wireless network based on a communication standard such as Wi-Fi, 2G or 3G, or a combination thereof. In an exemplary embodiment, communication component 516 receives broadcast signals or broadcast associated information from an external broadcast management system via a broadcast channel. In an illustrative embodiment, communication component 516 also includes a near field communication (NFC) module to facilitate short range communication. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

In an exemplary embodiment, mobile terminal 500 may be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), A program gate array (FPGA), controller, microcontroller, microprocessor or other electronic component implementation for performing the above information receiving method.

In an illustrative embodiment, there is also provided a non-transitory computer readable storage medium comprising instructions, such as a memory 504 comprising instructions executable by processor 518 of mobile terminal 500 to perform the fingerprint template generation method described above. For example, the non-transitory computer readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, and an optical data storage device.

Other embodiments of the present disclosure will be apparent to those skilled in the <RTIgt; The application is intended to cover any variations, uses, or adaptations of the disclosure, which are in accordance with the general principles of the disclosure and Common knowledge or conventional techniques in the art. The specification and examples are to be regarded as illustrative only,

It is to be understood that the invention is not limited to the details of the details and The scope of the disclosure is to be limited only by the appended claims.

Claims

A method for generating a fingerprint template, the method comprising:

In the process of inputting the target fingerprint, the ith fingerprint image collected by the fingerprint recognition sensor is added to the candidate fingerprint image set corresponding to the target fingerprint, i≥2, and i is a natural number;

Calculating a similarity between the ith fingerprint image and the jth fingerprint image in the candidate fingerprint image set, j<i, and j is a natural number;

If the similarity between the ith fingerprint image and the jth fingerprint image is greater than a similarity threshold, deleting the ith fingerprint image or the jth fingerprint image from the candidate fingerprint image set;

Detecting whether the amount of information included in the candidate fingerprint image set reaches a threshold;

When the amount of information included in the candidate fingerprint image set reaches the threshold, a fingerprint template is generated according to each fingerprint image in the candidate fingerprint image set.
The method according to claim 1, wherein the deleting the i-th fingerprint image or the j-th fingerprint image from the candidate fingerprint image set comprises:

Acquiring image quality of each of the i-th fingerprint image and the j-th fingerprint image;

If the image quality of the ith fingerprint image is higher than the image quality of the j-th fingerprint image, deleting the j-th fingerprint image from the candidate fingerprint image set;

If the image quality of the ith fingerprint image is lower than the image quality of the j-th fingerprint image, deleting the ith fingerprint image from the candidate fingerprint image set.
The method according to claim 2, wherein the acquiring the image quality of each of the ith fingerprint image and the jth fingerprint image comprises:

Obtaining a fingerprint image area of each of the i-th fingerprint image and the j-th fingerprint image;

Obtaining a number of fingerprint feature points of each of the i-th fingerprint image and the j-th fingerprint image;

Calculating a feature point density of each of the i-th fingerprint image and the j-th fingerprint image according to the fingerprint image area and the number of the fingerprint feature points;

The image quality is determined according to the feature point density, and the feature point density is proportional to the image quality.
The method according to any one of claims 1 to 3, wherein said detecting said candidate Whether the amount of information contained in the fingerprint image set reaches a threshold, including:

Determining whether the number of fingerprint images in the candidate fingerprint image set reaches a first threshold; if the number of fingerprint images in the candidate fingerprint image set reaches the first threshold, determining that the amount of information included in the candidate fingerprint image set reaches the Threshold value

and / or,

Detecting whether a sum of fingerprint feature points of each fingerprint image in the candidate fingerprint image set reaches a second threshold; if the sum of fingerprint feature points of each fingerprint image in the candidate fingerprint image set reaches the second threshold, determining the candidate The amount of information contained in the fingerprint image set reaches the threshold;

and / or,

Detecting whether the total fingerprint area of each fingerprint image in the candidate fingerprint image set reaches a third threshold; if the total fingerprint area of each fingerprint image in the candidate fingerprint image set reaches the third threshold, determining the candidate fingerprint image The set contains the amount of information that reaches the threshold.
The method according to any one of claims 1 to 4, wherein the calculating the similarity between the ith fingerprint image and the jth fingerprint image in the candidate fingerprint image set comprises:

Obtaining a fingerprint image area of each of the i-th fingerprint image and the j-th fingerprint image;

Obtaining a number of fingerprint feature points of each of the i-th fingerprint image and the j-th fingerprint image;

Obtaining a fingerprint feature point position of each of the i-th fingerprint image and the j-th fingerprint image;

The similarity is calculated by weighting according to a ratio of the area of the fingerprint image, and/or a ratio of the number of the fingerprint feature points, and/or a matching degree of the fingerprint feature point position.
The method according to any one of claims 1 to 5, wherein the method further comprises:

When the i-th fingerprint image is deleted from the candidate fingerprint image set, the first prompt information is displayed, where the first prompt information is used to indicate that the ith fingerprint image and the j-th fingerprint image are corresponding to each other. Fingerprint area;

When the j-th fingerprint image is deleted from the candidate fingerprint image set, the second prompt information is displayed, where the second prompt information is used to indicate that the j-th fingerprint image has been replaced by the ith fingerprint image .
The method according to any one of claims 1 to 5, wherein the method further comprises:

When the number of deleted fingerprint images reaches a fourth threshold, displaying third prompt information, the third The prompt message is used to indicate that the fingerprint entry failed.
A fingerprint template generating apparatus, the apparatus comprising:

Adding a module, configured to add an i-th fingerprint image collected by the fingerprint recognition sensor to the candidate fingerprint image set corresponding to the target fingerprint during the input process of the target fingerprint, i≥2, and i is a natural number;

a calculation module, configured to calculate a similarity between the ith fingerprint image and the jth fingerprint image in the candidate fingerprint image set, j<i, and j is a natural number;

a deleting module configured to delete the i-th fingerprint image or the first image from the candidate fingerprint image set if a similarity between the i-th fingerprint image and the j-th fingerprint image is greater than a similarity threshold j fingerprint images;

a detecting module, configured to detect whether the amount of information included in the candidate fingerprint image set reaches a threshold;

And a generating module, configured to generate a fingerprint template according to each fingerprint image in the candidate fingerprint image set when the amount of information included in the candidate fingerprint image set reaches the threshold.
The device according to claim 8, wherein the deleting module comprises:

Obtaining a submodule configured to acquire image quality of each of the i-th fingerprint image and the j-th fingerprint image;

a first deletion sub-module configured to delete the j-th fingerprint image from the candidate fingerprint image set if an image quality of the ith fingerprint image is higher than an image quality of the j-th fingerprint image;

The second deletion submodule is configured to delete the ith fingerprint image from the candidate fingerprint image set if an image quality of the ith fingerprint image is lower than an image quality of the jth fingerprint image.
The device according to claim 9, wherein the obtaining submodule comprises:

An area obtaining submodule configured to acquire a fingerprint image area of each of the i-th fingerprint image and the j-th fingerprint image;

a quantity acquisition submodule configured to acquire a number of fingerprint feature points of each of the i-th fingerprint image and the j-th fingerprint image;

a density calculation sub-module configured to calculate a feature point density of each of the i-th fingerprint image and the j-th fingerprint image according to the fingerprint image area and the number of the fingerprint feature points;

Determining a sub-module configured to determine the image quality based on the feature point density, the feature The dot density is proportional to the image quality.
The device according to any one of claims 8 to 10, wherein the detecting module comprises:

a first detecting sub-module configured to detect whether the number of fingerprint images in the candidate fingerprint image set reaches a first threshold; if the number of fingerprint images in the candidate fingerprint image set reaches the first threshold, determining the candidate fingerprint The amount of information contained in the image set reaches the threshold;

and / or,

a second detection sub-module configured to detect whether a sum of fingerprint feature points of each fingerprint image in the candidate fingerprint image set reaches a second threshold; if the sum of fingerprint feature points of each fingerprint image in the candidate fingerprint image set reaches the a second threshold, determining that the amount of information included in the candidate fingerprint image set reaches the threshold;

and / or,

The third detecting sub-module is configured to detect whether the total fingerprint area of each fingerprint image in the candidate fingerprint image set reaches a third threshold; if the total fingerprint area of each fingerprint image in the candidate fingerprint image set reaches the third The threshold determines that the amount of information included in the candidate fingerprint image set reaches the threshold.
The device according to any one of claims 8 to 11, wherein the calculation module comprises:

a first acquiring submodule configured to acquire a fingerprint image area of each of the i-th fingerprint image and the j-th fingerprint image;

a second acquiring submodule configured to acquire a number of fingerprint feature points of each of the i-th fingerprint image and the j-th fingerprint image;

a third acquiring submodule configured to acquire a fingerprint feature point position of each of the i-th fingerprint image and the j-th fingerprint image;

The calculating submodule is configured to calculate the similarity by weight according to a ratio of the area of the fingerprint image, and/or a ratio of the number of the fingerprint feature points, and/or a matching degree of the fingerprint feature point position.
The device according to any one of claims 8 to 12, wherein the device further comprises:

The first display module is configured to display the first prompt information when the ith fingerprint image is deleted from the candidate fingerprint image set, where the first prompt information is used to indicate the ith fingerprint image and the The jth fingerprint image corresponds to the same fingerprint area;

a second display module, configured to: when the j-th fingerprint image is deleted from the candidate fingerprint image set, display second prompt information, where the second prompt information is used to indicate that the i-th fingerprint image has been utilized Replace the jth fingerprint image.
The device according to any one of claims 8 to 12, wherein the device further comprises:

The third display module is configured to display, when the number of the deleted fingerprint images reaches the fourth threshold, the third prompt information, where the third prompt information is used to indicate that the fingerprint entry fails.
A fingerprint template generating apparatus, the apparatus comprising:

processor;

a memory for storing processor executable instructions;

Wherein the processor is configured to:

In the process of inputting the target fingerprint, the ith fingerprint image collected by the fingerprint recognition sensor is added to the candidate fingerprint image set corresponding to the target fingerprint, i≥2, and i is a natural number;

Calculating a similarity between the ith fingerprint image and the jth fingerprint image in the candidate fingerprint image set, j<i, and j is a natural number;

If the similarity between the ith fingerprint image and the jth fingerprint image is greater than a similarity threshold, deleting the ith fingerprint image or the jth fingerprint image from the candidate fingerprint image set;

Detecting whether the amount of information included in the candidate fingerprint image set reaches a threshold;

When the amount of information included in the candidate fingerprint image set reaches the threshold, a fingerprint template is generated according to each fingerprint image in the candidate fingerprint image set.