CN115719521A - Fingerprint image input method, storage medium and electronic equipment - Google Patents

Abstract

The embodiment of the application provides a fingerprint image input method, a storage medium and electronic equipment, wherein the method comprises the following steps: monitoring abnormal recording behaviors in the process of recording a fingerprint image by sliding a finger; generating target prompt information aiming at the abnormal input behavior, wherein the target prompt information is used for prompting a fingerprint input user to adjust a fingerprint input state; and providing the target prompt message. The abnormal input behavior can be detected and prompt information for improving the abnormal input behavior is provided through the embodiment of the application, so that a user can adjust the fingerprint input state in real time, and the efficiency of inputting the fingerprint template in a sliding mode can be effectively improved.

Description

Fingerprint image input method, storage medium and electronic equipment

Technical Field

The present application relates to the field of image processing, and in particular, to a method for inputting a fingerprint image, a storage medium, and an electronic device.

Background

Fingerprint identification is a biological identification technology, and in the fingerprint identification process, firstly, user fingerprint information is collected to complete fingerprint template input, and then, in the specific identity identification process, the user can perform authentication unlocking through the fingerprint information on the input fingerprint template.

The equipment that is provided with fingerprint identification unit at present adopts to press to type the mode and accomplishes the collection of typeeing of fingerprint template. In order to save cost and achieve higher competitiveness, the size of a chip with a fingerprint acquisition function is designed to be smaller and smaller, and it can be understood that the existing pressing mode is adopted for fingerprint entry due to the fact that the size of the chip is smaller and smaller, only one image can be recorded by one-time pressing, and therefore the area of an entered fingerprint template is smaller and smaller under the same pressing times, and therefore the risk that unlocking failure of a user is caused due to the fact that the overlapping area between a fingerprint image to be authenticated and a fingerprint area of the fingerprint template image is too small or even no overlapping area is formed during fingerprint authentication is higher.

Disclosure of Invention

An object of the present application is to provide a method, a storage medium, and an electronic device for inputting a fingerprint image, in order to reduce a risk that a fingerprint authentication process fails due to quality of a fingerprint template obtained by a pressing method or a sliding input method in the related art failing to meet standards (for example, an area of a fingerprint on the fingerprint template is too small), an embodiment of the present application detects an abnormal input behavior occurring in real time or periodically and provides a prompt message for improving the abnormal input behavior so that a user can adjust a state of fingerprint input in real time, thereby effectively improving quality of the fingerprint template obtained by the sliding input method.

In a first aspect, an embodiment of the present application provides a method for inputting a fingerprint image, where the method includes: monitoring abnormal recording behaviors in the process of recording a fingerprint image by sliding a finger; generating target prompt information aiming at the abnormal input behavior, wherein the target prompt information is used for prompting a fingerprint input user to adjust a fingerprint input state; and providing the target prompt message.

Some embodiments of this application are logged and are given corresponding prompt information through the anomaly that real time monitoring takes place to promote the user in time to adjust and type the state, reduce and type the number of times and raise the efficiency, type the image through the adjustment acquisition can obtain the better (the area is fit for) fingerprint template of quality, reduce the miss rate (because the fingerprint region of the fingerprint template of type and the fingerprint region of the fingerprint image of treating the authentication of gathering during the authentication fail and lead to the authentication process promptly).

In some embodiments, the exception entry behavior comprises: the contact duration of the finger and the fingerprint acquisition area does not meet the requirement, the sliding speed of the finger in the fingerprint acquisition area does not meet the requirement, and the contact position or the contact area of the finger and the fingerprint acquisition area does not meet the requirement.

Some embodiments of the application provide a way of detecting multiple exception entry behaviors, promote technical scheme's commonality and effectively promote the improvement effect to various exception entry behaviors.

In some embodiments, the monitoring of the occurrence of abnormal logging behavior comprises: confirming that quick lifting action occurs in the ith entry, wherein the quick lifting action is used for representing that the contact time of a finger and the fingerprint acquisition area does not meet the requirement; the generating of the target prompt information aiming at the abnormal entry behavior comprises: and generating first prompt information aiming at the quick lifting behavior, wherein the first prompt information is used for prompting the user to prolong the contact time of the finger and the fingerprint acquisition area in the next input.

Some embodiments of the application can detect whether fast lift behaviors occur or not and give user prompt information about the behaviors, so that the next entering effect of a user can be effectively improved.

In some embodiments, the confirming that a snap-off action occurred in the ith entry comprises: and determining that the fast lifting behavior occurs according to the total number of fingerprint images in the ith entry.

According to some embodiments of the application, whether fast lifting occurs or not is determined according to the total number of fingerprint images (the fingerprint images can be collected images or collected images after image quality verification), and whether fast lifting occurs or not in the recording process can be estimated at a high speed and accurately.

In some embodiments, the confirming that a snap-off action occurred in the ith entry comprises: splicing the fingerprint images obtained by the ith input to obtain an ith spliced image; and confirming the fast lifting behavior according to the ith spliced image.

Some embodiments of the application further determine whether the fast lifting anomaly exists in the input by splicing all fingerprint images (which may be acquired images through quality verification) obtained in the input, so that the accuracy and the speed of determining the fast lifting anomaly are improved.

In some embodiments, the confirming that the fast-lift behavior occurs according to the ith stitched image comprises any one of the following ways: if the number of pixels in a connected region on the ith spliced image is smaller than a first pixel threshold value, confirming that the fast lifting behavior occurs; if the area of the connected region on the ith spliced image is smaller than a first area threshold value, confirming that the fast lifting behavior occurs; if the number of the fingerprint pixels of the connected region on the ith spliced image is smaller than a first fingerprint pixel threshold value, confirming that the quick lifting behavior occurs; and if the fingerprint area of the communication area on the ith spliced image is smaller than a first fingerprint area threshold value, confirming that the fast lifting behavior occurs.

Some embodiments of this application provide multiple according to the embodiment that whether this input takes place the action of lifting soon of concatenation image judgement, promote the degree of accuracy that the action of lifting soon was judged.

In some embodiments, the monitoring of the occurrence of abnormal logging behavior comprises: confirming the recording speed abnormal behavior in the ith recording, wherein the recording speed abnormal behavior is used for representing that the sliding speed of the finger in the fingerprint acquisition area does not meet the requirement; the generating of the target prompt information aiming at the abnormal entry behavior comprises: and generating second prompt information aiming at the abnormal entering speed behavior, wherein the second prompt information is used for prompting the user to adjust the sliding speed of the finger in the fingerprint acquisition area in the next entering process.

Some embodiments of the application can also generate prompt information for adjusting abnormal input speed, so that the quality problem of spliced images caused by the fact that the sliding speed does not meet the requirement in the fingerprint sliding input process is solved.

In some embodiments, said confirming that entry speed exception behavior occurred in the ith entry comprises: and confirming the abnormal recording speed behavior according to the overlapping area between two adjacent fingerprint images obtained in the ith recording.

Some embodiments of the application determine whether the entry speed is abnormal by judging the overlapping area between two adjacent images acquired in a certain entry, and compared with the related technical scheme, the accuracy of the determination of the entry speed abnormality is improved.

In some embodiments, the confirming of occurrence of entry speed abnormal behavior according to an overlapping area between two adjacent fingerprint images obtained in the i-th entry includes: acquiring k pairs of adjacent fingerprint images obtained in the ith input, and calculating the ratio of overlapping areas of each pair of adjacent fingerprint images in the k pairs of adjacent fingerprint images to obtain k overlapping area ratio values; if the proportion smaller than the first value in the k overlapping area proportion values is larger than or equal to the first proportion value, determining that abnormal behavior with too high input speed occurs; the generating of the second prompt message aiming at the input speed abnormal behavior comprises: and generating the second prompt information aiming at the abnormal behavior of the entering too fast speed and used for slowing down the sliding speed of the finger in the fingerprint acquisition area.

In some embodiments of the application, whether abnormal behavior with too high recording speed occurs or not is estimated by judging whether the overlapping area of two adjacent images is too small, so that the speed and the accuracy of judging the abnormal behavior are improved.

In some embodiments, the confirming of occurrence of entry speed abnormal behavior according to an overlapping area between two adjacent fingerprint images obtained in the i-th entry includes: acquiring k pairs of adjacent fingerprint images obtained in the ith input, and calculating the overlapping area ratio of each pair of adjacent images in the k pairs of adjacent fingerprint images to obtain k overlapping area ratio values; if the occupation ratio of the k overlapped area occupation ratios which is larger than the second value is larger than or equal to the second proportion value, determining that the abnormal behavior of the input speed over-slow occurs; the generating of the second prompt message aiming at the input speed abnormal behavior comprises: and generating the second prompt information aiming at the abnormal behavior of the input speed over-slow and used for increasing the sliding speed of the finger in the fingerprint acquisition area.

According to some embodiments of the application, whether abnormal behaviors with too low recording speed occur or not is estimated according to whether the overlapping area of two adjacent images is too large, and the speed and the accuracy of judging the abnormal behaviors are improved.

In some embodiments, the monitoring of the occurrence of abnormal logging behavior comprises: confirming abnormal behavior that an acquisition region does not meet the standard, wherein the abnormal behavior that the acquisition region does not meet the standard is used for representing that the contact position or the contact area of a finger and a fingerprint acquisition region does not meet the requirement; the generating of the target prompt information aiming at the abnormal entry behavior comprises: and generating third prompt information aiming at abnormal behaviors that the acquisition region does not reach the standard, wherein the third prompt information is used for prompting the user to increase the contact area of the finger and the fingerprint acquisition region or adjust the contact position of the finger and the fingerprint acquisition region in the process of sliding the finger in the fingerprint acquisition region.

Some embodiments of the application can also detect abnormal entry behaviors such as fixed entry positions or undersized entry areas in each entry, and then provide corresponding prompt information to improve the entry effect of a user in the next entry.

In some embodiments, the confirming that the acquisition area does not meet the standard comprises: splicing all fingerprint images obtained after the preset input times are input to obtain a first total spliced image; and if the area of the first total spliced image is smaller than a set third area threshold value, confirming that the abnormal behavior of the acquisition region which does not reach the standard occurs.

Some embodiments of the application confirm whether the abnormal behavior that the acquisition area does not reach the standard occurs through splicing the images to be spliced, and improve the accuracy of judging the behavior.

In some embodiments, the monitoring of the occurrence of abnormal logging behavior comprises: confirming the occurrence of abnormal recording behavior of the number of sheets, wherein the abnormal recording behavior of the number of sheets is used for representing that the total number of effective images obtained in a sliding recording mode does not meet the requirement, and the effective images are obtained according to the fingerprint images; the generating of the target prompt information aiming at the abnormal entry behavior comprises: and generating fourth prompt information aiming at the sheet count abnormal entry behavior, wherein the fourth prompt information is used for prompting the user to start sliding entry again.

In some embodiments, the confirming occurrence count abnormal entry behavior includes: recording the preset recording times to obtain all fingerprint images; obtaining an effective image from the fingerprint images according to the overlapping area of any two adjacent fingerprint images included in all the fingerprint images; and if the total number of the effective images is less than the sheet number threshold value, determining that the abnormal sheet number recording behavior occurs.

According to some embodiments of the application, whether a fingerprint abnormal entry behavior of pressing instead of sliding occurs is determined by judging the number of all images to be spliced obtained after the preset entry times are reached, so that the accuracy of a judgment result of whether the behavior occurs can be effectively improved, and the speed of obtaining the result is improved.

In some embodiments, said monitoring of occurring exception entry behavior comprises: confirming that a fingerprint behavior is input in a pressing mode, wherein the judgment process of inputting the fingerprint behavior in the pressing mode is performed after the input times of the fingerprint reach the preset input times; the generating of the target prompt information aiming at the abnormal entry behavior comprises: and generating fifth prompt information aiming at abnormal behaviors that the area of the spliced image does not reach the standard, wherein the fifth prompt information is used for prompting the user to acquire the image to be spliced by pressing the acquisition area for multiple times.

According to some embodiments of the application, the user can be continuously prompted to supplement the number of the images to be spliced in a pressing mode when the area of the spliced images obtained after the preset input times is still not up to the standard, so that the quality of the obtained target fingerprint template is improved.

In some embodiments, the target fingerprint template is obtained by stitching the image to be stitched and the authenticated fingerprint image.

In some embodiments of the present application, in the fingerprint authentication process, the fingerprint passing the authentication is also used as an image to be stitched to further update the target fingerprint template stored in the database, and the quality of the target fingerprint template is dynamically updated.

In some embodiments, the images to be stitched are captured images that pass quality verification.

The images to be spliced of some embodiments of the application are images subjected to quality judgment and screening, so that the quality of the obtained spliced images can be improved.

In some embodiments, the providing the target prompt information includes: and providing the target prompt information in a voice, text or animation mode.

Some embodiments of the application provide the target prompt information in multiple ways to improve the generality of the technical scheme.

In some embodiments, the method further comprises: and providing sixth prompt information indicating the sliding direction of the finger when the finger is firstly recorded, wherein the sliding direction is vertical to the extending direction of the long edge of the fingerprint acquisition area.

According to some embodiments of the application, the fingerprint vertical sensor is adopted in the first sliding input suggestion, and the translation sliding input mode (prompting and guiding can be carried out on a UI (user interface)) is adopted, so that the fingerprint sliding amplitude is maximum, and the maximum bottom library input area can be reached under the minimum sliding times.

In some embodiments, the method further comprises: and after each input, judging whether the input can be stopped or not according to the spliced images, wherein the spliced images are obtained by splicing all images to be spliced obtained through the input and the input before the input.

Some embodiments of the application can judge whether the quality of the spliced image meets the requirement after each time of entry, so that the entry process is stopped immediately, and the speed of acquiring the target fingerprint template is increased.

In a second aspect, some embodiments of the present application provide a method of fingerprint identification, the method comprising: a fingerprint template is generated according to the fingerprint image obtained according to any embodiment of the first aspect, and fingerprint authentication is performed according to the fingerprint template and the fingerprint image to be authenticated.

In a third aspect, some embodiments of the present application provide a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, may implement the method as described in any of the embodiments of the first aspect.

In a fourth aspect, some embodiments of the present application provide an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program may implement the method according to any of the embodiments of the first aspect.

In a fifth aspect, some embodiments of the present application provide a computer program product comprising a computer program, wherein the computer program, when executed by a processor, is adapted to implement the method according to any of the embodiments of the first aspect.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.

Fig. 1 is a structural diagram of fingerprint identification authentication in the related art according to an embodiment of the present application;

fig. 2 is a flowchart of a method for inputting a fingerprint image according to an embodiment of the present application;

FIG. 3 is a schematic diagram of collecting each fingerprint collection image and a stitching status according to an embodiment of the present application;

FIG. 4 is a schematic view of an embodiment of the present application showing a sliding direction;

FIG. 5 is a second schematic view illustrating a sliding direction according to an embodiment of the present application;

fig. 6 is a second flowchart of a single entry process provided in the embodiment of the present application;

fig. 7 is a second flowchart of a fingerprint image entry method according to an embodiment of the present application;

FIG. 8 is a block diagram of an apparatus for fingerprint image entry provided in an embodiment of the present application;

fig. 9 is a schematic view of an electronic device according to an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.

It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.

The quality of the obtained target fingerprint template is poor due to the fact that the area of the fingerprint template recorded in a pressing mode in the prior art is too small. When the fingerprint template is input in a sliding mode disclosed by the related technology, a large number of input operations are needed, and the input efficiency is low when the fingerprint template is input.

The embodiment of the application provides a method for inputting a fingerprint image at least for solving the problems, and the embodiment provided by the method can instantly generate prompt information aiming at the monitored abnormal input behavior, and provide the prompt information for a user to improve the input effect, so that the input times are effectively reduced in the process of acquiring the fingerprint template.

The flow of fingerprint identification is exemplarily described below with reference to fig. 1 and 2.

Referring to fig. 1, fig. 1 is a block diagram of fingerprint identification authentication provided in the related art, where: a user interface, a fingerprint template enrollment module 120, a system database, an authentication module 110, and a feature extraction module 111 and a feature matching module 112 included with the authentication module.

The user interface is provided with a fingerprint acquisition unit (e.g., a fingerprint sensor) by which fingerprint information of a user can be acquired. It should be noted that, the fingerprint acquisition unit related to the fingerprint template acquisition or fingerprint identification method according to some embodiments of the present application may be based on any one of the following three sensors: optical fingerprint sensor, capacitive fingerprint sensor and ultrasonic fingerprint sensor.

The fingerprint template registration module 120 is configured to read fingerprint data collected by a sensor, and process the data to obtain a target fingerprint template 121.

The system database is used for storing the target fingerprint template 121, so that the target fingerprint template 121 can be immediately read from the system database when fingerprint identification authentication is required subsequently.

The authentication module 110 compares the extracted fingerprint feature information to be authenticated with the target fingerprint template 121 stored in the system database. If the information needing authentication can be consistent with the information of the system database, the authentication is successful, otherwise, the authentication is invalid.

It should be noted that some embodiments of the present application are different from the existing pressing method for entering a target fingerprint template and the existing sliding method for entering a target fingerprint template, and the target fingerprint template obtaining method provided by some embodiments of the present application can effectively improve the quality of the target fingerprint template 121 obtained by the fingerprint template registration module 120 in fig. 1, increase the processing speed, and ensure that a better device can complete the entry of the fingerprint template faster.

It should be understood that fig. 1 is only used to illustrate one application scenario of the obtained target fingerprint template, and the embodiment of the present application may be applied to other various scenarios, for example, the technical solution of the present application may also be applied to the occasion of one-to-many identity recognition, and the embodiment of the present application is not limited to the specific application scenario of the obtained target fingerprint template.

The process of obtaining a target fingerprint template provided by some embodiments of the present application is illustrated below in conjunction with fig. 2.

As shown in fig. 2, an embodiment of the present application provides a method for fingerprint image entry, where the method includes: s101, monitoring abnormal recording behaviors in the process of recording the fingerprint image through the sliding finger. And S102, generating target prompt information aiming at the abnormal input behavior, wherein the target prompt information is used for prompting a fingerprint input user to adjust a fingerprint input state. S103, providing the target prompt information.

It should be noted that the fingerprint image used for generating the fingerprint template may be obtained through a sliding fingerprint entry process, in an embodiment of the present application, the sliding entry process includes one or multiple entries, where one entry refers to a whole process from when a finger that needs to acquire a fingerprint starts to contact a fingerprint acquisition area to when the finger completely leaves the fingerprint acquisition area. It can be understood that, in the process of one-time input, the fingerprint acquisition unit acquires the fingerprint sliding or pressed in the fingerprint acquisition area for one time or multiple times according to the acquisition frequency to obtain one or more fingerprint acquisition images. In some embodiments of the present application, the fingerprint captured image is taken as a fingerprint image, and in some embodiments of the present application, the fingerprint captured image that passes a single image quality verification is taken as a fingerprint image.

In some embodiments of the present application, at least the following exception entry behaviors that occur may be monitored: the contact duration of the finger and the fingerprint acquisition area does not meet the requirement, the sliding speed of the finger in the fingerprint acquisition area does not meet the requirement, and the contact position or the contact area of the finger and the fingerprint acquisition area does not meet the requirement. Some embodiments of the application provide a way of detecting multiple exception entry behaviors, promote technical scheme's commonality and effectively promote the improvement effect to various exception entry behaviors.

It can be understood that some embodiments of the application record and provide corresponding prompt information through the abnormality that real-time monitoring takes place to promote the user to adjust the recording state in time, consequently can reduce the number of times of recording in the fingerprint template acquisition process to the maximum extent on the premise of guaranteeing that the fingerprint area meets the requirements on the spliced image.

Various exception entry behaviors and types of prompt information corresponding to the exception entry behaviors are set forth below in connection with several examples.

Before describing a specific example, a process of stitching images is first described, and fig. 3 illustrates a process of stitching captured fingerprint images to obtain a target fingerprint template. As shown in fig. 3, assuming that a fingerprint 9 is a fingerprint to be entered into the system, a finger corresponding to the fingerprint moves along the y direction of fig. 3, and the fingerprint collection images I (1), I (2), \8230 \ 8230:, until I (N) is each fingerprint collection image collected by the fingerprint collection array in the process that the collected finger slides through the fingerprint collection area, a (1), a (2), \8230;, and until a (N-1) is an overlapping area of two adjacent fingerprint collection images, it can be understood that the fingerprint template of the embodiment of the present application is obtained by processing each fingerprint collection image obtained by using fig. 3 or a sliding manner different from fig. 3, and the processing can be screening, image preprocessing, splicing, or the like. For example, in some embodiments of the present application, the target fingerprint template may be obtained by directly stitching the fingerprint captured images, in some embodiments of the present application, an image to be stitched that meets the quality requirement is screened out from the fingerprint captured images through single image quality verification, and then the image to be stitched is stitched to obtain the target fingerprint template.

Embodiments of the present application do not define the specific location of the fingerprint acquisition area on the fingerprint acquisition device. For example, if the fingerprint acquisition device is a mobile phone, the fingerprint acquisition area can be located on the front, back or side of the mobile phone. As shown in fig. 4, the fingerprint collection area is provided on the front surface of the cellular phone 400, for example, a partial area of the display screen as a collection area. As shown in fig. 5, the fingerprint acquisition area may also be located on the side of the handset 400. The sliding directions shown in fig. 4 include a first sliding direction v1 and a second sliding direction v2, and the sliding direction shown in fig. 5 is a third sliding direction v3. Some embodiments of the present application do not define a direction of swipe when swiped into a fingerprint template.

Example 1

The inventor of the application finds in research that fast lifting often occurs in the process of inputting a fingerprint template into a fingerprint acquisition object through a sliding mode, so that no acquired image is acquired in the sliding mode or the number of acquired fingerprint images is small. It should be noted that the fast lifting behavior means that the contact time of the finger of the user with the fingerprint collection area is too short, so that the fingerprint collection unit does not collect the fingerprint image or only collects a small number of fingerprint images.

At least to solve the above technical problem, in some embodiments of the present application, the process of monitoring occurrence of an abnormal entry behavior in S101 exemplarily includes: confirming that fast-lifting behavior occurs in the ith entry, wherein the fast-lifting behavior is used for representing that the contact duration of a finger with the fingerprint acquisition area does not meet requirements, and the corresponding S102 exemplary process for generating target prompt information aiming at the abnormal entry behavior comprises the following steps: and generating first prompt information aiming at the quick lifting behavior, wherein the first prompt information is used for prompting the user to prolong the contact time of the finger and the fingerprint acquisition area in the next input. It should be noted that the ith entry is any entry included in the sliding entry process. For example, in some embodiments of the present application, prompt information for prohibiting fast forward may be provided to the user by voice, text, animation, or the like. For example, the display interface provides a word "prohibit fast-raising", or the display interface provides a word "please increase the contact time of the finger with the fingerprint collection area", and the embodiment of the present application does not limit which word or words are specifically used to represent the first prompt information.

An example of determining whether a snap-up action has occurred is illustratively described below in terms of any one entry.

For example, in some embodiments of the present application, the process of confirming that a snap-off behavior occurred in the ith entry illustratively includes: and determining that the fast lifting behavior occurs according to the total number of fingerprint images in the ith entry. For example, if the number of fingerprint images obtained through the ith entry is less than a preset threshold, the fast lift-off behavior is considered to occur.

It should be noted that, in some embodiments of the present application, the number of fingerprint images in this place may refer to the total number of fingerprint acquisition images acquired by the fingerprint acquisition array in the entire ith entry. In some embodiments of the present application, the number of the fingerprint images at this point may be a difference between a total number of the fingerprint images acquired by the fingerprint acquisition unit in the entire ith entry and the fingerprint images that do not meet the requirement of image quality, where the difference represents the number of the images to be stitched that pass through the verification of the quality of a single fingerprint image, where the image quality is used to reflect the indexes of the ratio of the ridge signal to the signal of the single fingerprint image, such as contrast, signal-to-noise ratio, high-low frequency signal component, and abnormal area, and the requirement of image quality is not met, that is, one or more of the indexes corresponding to a certain fingerprint image do not meet the requirement, but in some embodiments of the present application, the image quality at this point does not include determining the size of the overlapping area between the acquired fingerprint images.

For example, as shown in fig. 4, the fingerprint collection area is an area disposed on the display panel of the mobile phone 400, 10 fingerprint collection images are collected by the fingerprint collection unit during the i-th entry (i.e., the finger moves along the direction shown by the first speed v1 or the second speed v2 in fig. 4 until the finger leaves the fingerprint collection area), in some embodiments of the present application, whether the fast lift occurs during the i-th entry may be determined according to the number of the 10 images, in some embodiments of the present application, an image quality verification module is further disposed to screen the 10 images through the module, and then the remaining 5 fingerprint collection images are used as images to be stitched, and then the remaining 5 fingerprint collection images are used as the total number of fingerprint images for determining whether the fast lift occurs.

For example, in some embodiments of the present application, as shown in fig. 6, in a single entry process includes: s201, judging whether the quality of a single image is less than a threshold value (namely independently judging whether each fingerprint acquisition image acquired by the fingerprint acquisition array to the sliding finger meets the image quality requirement), if not, executing the non-image storage of S202, and if so, continuing to execute S203; s203, storing the image, namely storing the acquired fingerprint image to be used as a candidate image which can be screened as an image to be spliced, or directly used as the image to be spliced; s204, determining whether the number of images (i.e. the total number of images stored after performing S203) is smaller than a threshold, if so, performing S205 to store the image and presenting a "do not quickly lift" message (as an example of a first message), otherwise, determining that no quick lift occurs.

That is to say, some embodiments of the present application determine whether a fast-lifting behavior occurs according to the total number of the collected fingerprint images, and can estimate whether the fast-lifting occurs in the recording process at a fast and accurate speed.

For another example, in some embodiments of the present application, the process of confirming that a fast lift behavior occurs in the i-th entry of S101 exemplarily includes:

and step one, splicing the fingerprint images obtained by the ith input to obtain an ith spliced image.

It should be noted that, in some embodiments of the present application, the fingerprint image referred to in the first step may be a fingerprint captured image, and in other embodiments, the following condition needs to be satisfied: the overlapping area is smaller than a fingerprint acquisition image with a larger value. The fingerprint image of this first step in some embodiments of the present application needs to satisfy the following condition: the fingerprint collection images meeting the image quality requirement and/or the overlapping area is smaller than a larger value, and the fingerprint collection images meeting the image quality requirement, namely the fingerprint collection images remained after comprehensive judgment of the ratio of the ridge line signals, the contrast, the signal to noise ratio, the high-low frequency signal components, the abnormal image collection area and the like, are arranged at the position.

And secondly, confirming the fast lifting behavior according to the ith spliced image. For example, in some embodiments of the present application, the second step illustratively comprises one of: if the number of the pixels of the connected region on the ith spliced image is smaller than a first pixel threshold value, confirming that the fast lifting behavior occurs; if the area of the communication region on the ith spliced image is smaller than a first area threshold value, confirming that the quick lifting behavior occurs; if the number of the fingerprint pixels of the connected area on the ith spliced image is smaller than a first fingerprint pixel threshold value, confirming that the fast lifting behavior occurs; and if the fingerprint area of the communication area on the ith spliced image is smaller than a first fingerprint area threshold value, confirming that the fast lifting behavior occurs.

That is to say, some embodiments of the present application further determine whether the effective pixel number (i.e., the number of pixels in the connected region in the stitched image) or the effective area (i.e., the area of the connected region in the stitched image) of the stitched image library is greater than a threshold, and if the effective pixel number or the effective area is too small, it is determined that the user has lifted quickly, where the effective pixel number or the effective area may be replaced by the effective fingerprint pixel number (i.e., the number of pixels in the connected region after the stitched image is denoised) or the effective fingerprint area (i.e., the fingerprint area in the connected region after the stitched image is denoised). For example, 5 images to be stitched are obtained through third time input, then the 5 images to be stitched obtained through the third time input are stitched to obtain a stitched image, the number of pixels included in a connected region on the stitched image is the effective pixel number, and the connected region is denoised to obtain the effective fingerprint pixel number; the assumption is that 5 images to be spliced are obtained through the third time of input, then the 5 images to be spliced obtained through the third time of input are spliced to obtain spliced images, the area occupied by the connected region on the spliced images is an effective area, and the area corresponding to the connected region after denoising is an effective fingerprint area. It should be noted that, in some embodiments of the present application, each ith spliced image obtained by splicing after each fingerprint input may be spliced again to obtain a fingerprint template; in some embodiments of the present application, the image to be stitched obtained through the current input and the stitched image obtained through several times of fingerprint input are stitched again, and the stitched image obtained through the last stitching is used as a template image.

Some embodiments of the application provide multiple embodiments for judging whether the fast lifting behavior occurs in the input according to the spliced image, and accuracy of judging the fast lifting behavior is improved. For example, in some embodiments of the present application, whether fast lift occurs may be comprehensively determined by using the number of sheets and the stitched image, if the determination result of the number of sheets and the stitched image is consistent, the fast lift behavior is determined to occur, and the first prompt information is correspondingly generated, and if the determination result of the number of sheets and the stitched image is inconsistent, the fast lift behavior is determined not to occur and the first prompt information is not generated.

It can be understood that some embodiments of the present application can detect whether a fast-lift behavior occurs and provide a user prompt message, which can effectively improve the fingerprint entry effect of the user at the next time.

Example 2

The inventor of the application finds that abnormal sliding behaviors of too fast sliding or too slow sliding often exist when a user slides and inputs a fingerprint image in research, so that the quantity or quality of the image input and obtained at each time has defects, and a high-quality fingerprint template cannot be obtained, and the accuracy of a subsequent fingerprint identification process is influenced.

At least to solve the technical problem, in some embodiments of the present application, the process of monitoring the occurring abnormal entry behavior, in S101, exemplarily includes: confirming that an entry speed abnormal behavior occurs in the ith entry, wherein the entry speed abnormal behavior is used for representing that the sliding speed of a finger in a fingerprint acquisition area does not meet requirements, and the corresponding S102 generating target prompt information aiming at the abnormal entry behavior exemplarily comprises: and generating second prompt information aiming at the abnormal entering speed behavior, wherein the second prompt information is used for prompting the user to adjust the sliding speed of the finger in the fingerprint acquisition area in the next entering process.

In order to improve the accuracy of determining the entry speed abnormal behavior, and avoid false prompting, in some embodiments of the present application, the process of confirming that the entry speed abnormal behavior occurs in the ith entry exemplarily includes: and confirming the abnormal recording speed behavior according to the overlapping area between two adjacent fingerprint images obtained in the ith recording. For example, in some embodiments of the present application, whether the abnormal recording speed behavior occurs is determined according to a ratio of an overlapping area between two adjacent images, where the ratio is a ratio of an overlapping area between a previous captured fingerprint image and a next captured fingerprint image to an area of the previous captured fingerprint image or the next captured fingerprint image.

As an example, if n pairs of adjacent fingerprint images are acquired in the ith entry process, n overlapping area ratios corresponding to the n pairs of adjacent fingerprint images need to be acquired, if a larger proportion of the n overlapping area ratios is greater than a larger value, it is determined that an abnormal entry behavior with an excessively slow sliding speed occurs, and if a larger proportion of the n overlapping area ratios is smaller than a smaller value, it is determined that an abnormal entry behavior with an excessively fast sliding speed occurs.

It should be noted that, in this embodiment of the present application, the two adjacent fingerprint images used for determining whether the sliding speed abnormality occurs may be two adjacent fingerprint collected images directly collected by the fingerprint collection unit, and in some embodiments of the present application, the fingerprint collected images may also be two adjacent fingerprint collected images that satisfy the quality requirement after the image quality determination of a single image.

For example, in some embodiments of the present application, the process of confirming occurrence of abnormal entry speed behavior according to an overlapping area between two adjacent fingerprint images obtained in the i-th entry illustratively includes: acquiring k pairs of adjacent fingerprint images obtained in the ith recording, and calculating the overlapping area ratio of each pair of adjacent images in the k pairs of adjacent fingerprint images to obtain k overlapping area ratios; if the proportion smaller than the first value in the k overlapping area proportions is confirmed to reach the first proportion value, confirming that abnormal behavior with too fast input speed occurs; the generating of the second prompt message aiming at the entry speed abnormal behavior comprises: and generating the second prompt information aiming at the abnormal behavior of the entering too fast speed and used for slowing down the sliding speed of the finger in the fingerprint acquisition area.

As shown in fig. 6, in the single entry process includes: s206, judging whether the overlapping ratio (namely the value of the overlapping area ratio) of the two acquired images (namely the two acquired adjacent fingerprint acquired images) is smaller than a first threshold (namely a first value) or not, if the ratio of the overlapping ratio smaller than the first threshold reaches the set threshold (namely the first ratio value), determining that the abnormal behavior of excessive sliding occurs, continuing to execute S207 for storage and prompting that the abnormal behavior of excessive sliding does not occur, and if not, continuing to judge whether the abnormal behavior of excessive sliding exists or not. It should be noted that, in some embodiments of the present application, the determining whether the overlap proportion is smaller than the first threshold value exemplarily includes: judging whether the occupation ratios of the overlapping areas of a plurality of pairs of adjacent images are smaller than a first threshold value, and if so, confirming that abnormal behaviors with too high input speed occur; or the average value of the occupation ratios of the overlapping areas of the multiple pairs of adjacent images is smaller than a first threshold value, and if the average value is smaller than the first threshold value, the abnormal behavior with the excessively high input speed is confirmed to occur; or if the occupation ratio of the overlapping area occupation ratios of the multiple pairs of adjacent images is smaller than the first threshold, confirming that abnormal behavior with too high input speed occurs.

For example, in some embodiments of the present application, the process of confirming that an entry speed abnormality occurs according to an overlapping area between two adjacent fingerprint images obtained in the i-th entry exemplarily includes: acquiring k pairs of adjacent fingerprint images obtained in the ith recording, and calculating the overlapping area ratio of each pair of adjacent images in the k pairs of adjacent fingerprint images to obtain k overlapping area ratios; if the occupation ratio larger than the second value in the k overlapping area occupation ratios is larger than or equal to the second proportion value, determining that the abnormal behavior of the input speed over-slow occurs; the generating of the second prompt message aiming at the entry speed abnormal behavior comprises: and generating the second prompt information aiming at the abnormal behavior of the input speed over-slow and used for increasing the sliding speed of the finger in the fingerprint acquisition area. It is understood that in some embodiments of the present application, if the target fingerprint template of the same finger is to be obtained, the first value is smaller than the second value.

As shown in fig. 6, in the single entry process includes: and S208, judging whether the overlapping proportion (namely the value of the overlapping area proportion) of the two acquired images of the fingerprints before and after the two acquired images is greater than or equal to a second threshold (namely a second value), if the proportion of the overlapping proportion greater than the second threshold reaches the set threshold (namely the second proportion value), determining that the abnormal behavior of the fingerprint does not slide too slowly, and continuing to point to S209 for storage and prompting 'do not slide too slowly'. And then, S210 is executed to splice the stored images to obtain a base (namely, the fingerprint template is obtained). It can be understood that the embodiments of the present application do not limit the order of determining whether a fast lift behavior occurs, whether a too fast sliding speed occurs, or whether a too slow sliding speed occurs in a single entry, that is, it is also possible to determine whether a too slow sliding speed occurs first, then determine whether an too fast interaction speed occurs, and finally determine whether a fast lift occurs in a single entry in some embodiments of the present application.

For example, in the ith entry process, acquiring 6 images with quality meeting requirements (namely the quality requirements of the single images), dividing the 6 images with quality meeting requirements into 5 pairs of front and rear adjacent images according to the acquisition time, calculating the overlapping area ratio of each pair of images to obtain 5 overlapping area ratio values, and if it is determined that ninety percent of the 5 overlapping area ratio values are all larger than the set second value, determining that the entry has the problem of slow sliding; and if eighty percent of the 5 overlapped area ratio values are smaller than the set first value, determining that the recording has the problem of too fast sliding. It should be noted that in some embodiments of the present application, the second value is equal to the first value, and in some embodiments of the present application, the second value is greater than the first value. It will be appreciated that in some embodiments of the present application, a set percentage of image pairs may also be randomly drawn from all of the image pairs to calculate the overlap area ratio, and if these values meet the set requirements, it is assumed that there is a problem of sliding too fast or too slow. In some embodiments, a mean of the overlapping area ratios of all image pairs may be calculated, and a determination may be made as to whether the mean is greater than a correlation threshold, and thus whether there is an entry problem that slips too fast or too slow.

Some embodiments of the application can also generate prompt information for adjusting the abnormal entry speed, so that the quality problem of the spliced image caused by the fact that the sliding speed does not meet the requirement in the sliding entry fingerprint process is solved. Some embodiments of the application determine whether the entry speed is abnormal by judging the overlapping area between two adjacent fingerprint images acquired in a certain entry, and compared with the related technical scheme, the accuracy of the determination of the entry speed abnormality is improved.

Example 3

The inventor of the application finds in research that a user who inputs a related fingerprint always slides with a small area on a finger in a fingerprint image inputting process, or a fingerprint acquisition user slides in a fingerprint acquisition area in one inputting process to fix a local area on the finger, so that the inputting effect is poor due to abnormal inputting behaviors, and some embodiments of the application help the fingerprint input user to input a required fingerprint more efficiently by providing prompt information in order to immediately correct problems caused by the abnormal inputting behaviors.

At least to address such logging behavior anomalies, in some embodiments of the present application, the process of monitoring occurring anomalous logging behaviors, described at S101, illustratively includes: confirming abnormal behavior that an acquisition region does not meet the standard, wherein the abnormal behavior that the acquisition region does not meet the standard is used for representing that the contact position or the contact area of a finger and a fingerprint acquisition region does not meet the requirement; the corresponding S102 exemplary process of generating the target prompt message for the abnormal entry behavior includes: and generating third prompt information aiming at abnormal behaviors that the acquisition region does not reach the standard, wherein the third prompt information is used for prompting the user to increase the contact area of the finger and the fingerprint acquisition region or adjust the contact position of the finger and the fingerprint acquisition region in the process of sliding the finger in the fingerprint acquisition region.

It should be noted that some embodiments of the present application may detect abnormal entry behaviors such as fixed entry position or too small entry area in each entry by detecting whether an abnormal behavior that the acquisition area does not reach the standard occurs, and then provide corresponding prompt information to improve the entry effect of the user in the next entry.

For example, in order to determine whether the abnormal behavior of acquisition region failing to reach standards occurs as soon as possible, in some embodiments of the present application, the process of determining that the abnormal behavior of acquisition region failing to reach standards occurs exemplarily includes: splicing all fingerprint images obtained after the preset input times are input to obtain a first total spliced image; and if the area of the first total spliced image is smaller than a set third area threshold value, confirming that the abnormal behavior of the acquisition region which does not reach the standard occurs. It should be noted that the maximum entry times preset for the sliding entry process is the preset entry times, and some embodiments of the application obtain the stitched image after multiple entries of the preset entry times and then determine whether abnormal behavior that the acquisition area does not reach the standard occurs according to the stitched image. That is to say, some embodiments of the present application confirm whether an abnormal behavior that an acquisition area does not reach the standard occurs by stitching the images to be stitched, and improve the accuracy of determining the behavior.

Example 4

The inventor of the present application finds in research that a user who has some fingerprint entries still uses the pressing mode to perform sliding fingerprint entry, which results in poor quality of the obtained image to be stitched, and at least some embodiments of the present application provide the following embodiments in order to solve such problems.

For example, in some embodiments of the present application, the process of monitoring the occurring abnormal entry behavior at S101 exemplarily includes: confirming the occurrence of abnormal recording behavior of the number of sheets, wherein the abnormal recording behavior of the number of sheets is used for representing that the total number of effective images obtained in a sliding recording mode does not meet the requirement, and the effective images are obtained according to the fingerprint images; correspondingly, in S102, generating target prompt information for the abnormal entry behavior includes: and generating fourth prompt information aiming at the sheet count abnormal entry behavior, wherein the fourth prompt information is used for prompting the user to start sliding entry again.

It should be noted that, in order to determine whether the sheet count entry abnormal behavior occurs, in some embodiments of the present application, the determining whether the sheet count entry abnormal behavior occurs exemplarily includes: recording the preset recording times to obtain all fingerprint images; obtaining an effective image from the fingerprint images according to the overlapping area of any two adjacent fingerprint images included in all the fingerprint images; and if the total number of the effective images is less than the sheet number threshold value, determining that the abnormal sheet number recording behavior occurs.

That is, in some embodiments of the present application, the process of confirming the occurrence of the number-of-sheets-abnormal entry behavior exemplarily includes: and determining whether the fingerprint inputting behavior in a pressing mode occurs according to the number of all effective fingerprint images obtained after the preset inputting times are input (for example, the fingerprint acquisition unit acquires the fingerprint of a fingerprint acquisition area to obtain a fingerprint acquisition image, performs quality verification on a single image on the fingerprint acquisition images to screen out partial images meeting the image quality requirement, and then performs overlapping area screening on the partial images to obtain the effective fingerprint image of the position by taking a plurality of images with too large overlapping areas as a pair of images to be spliced). According to some embodiments of the application, whether a sheet number recording abnormal recording behavior occurs or not is determined by judging the number of all images to be spliced obtained after the preset recording times are reached, so that the accuracy of a judgment result of whether the behavior occurs or not can be effectively improved, and the speed of obtaining the result can be improved.

Example 5

In research, the inventor of the present application finds that, even after a preset number of times of entry, there is still a technical defect that the area of the fingerprint template does not reach the standard, and in order to deal with such a problem, in some embodiments of the present application, the process of monitoring the occurring abnormal entry behavior exemplarily includes: confirming that a fingerprint behavior is input in a pressing mode, wherein the judgment process of inputting the fingerprint behavior in the pressing mode is performed after the input times of the fingerprint reach the preset input times; the corresponding S102, generating the target prompt information for the abnormal entry behavior, exemplarily includes: and generating fifth prompt information aiming at the fingerprint behavior input in a pressing mode, wherein the fifth prompt information is used for prompting the user to acquire the image to be spliced by pressing the acquisition area for multiple times. That is to say, in some embodiments of the present application, if the area of the stitched image obtained after the entry of the preset entry times (in some embodiments of the present application, the stitched image is obtained by stitching after the entry of the preset number times and the judgment of the abnormal number entry behavior, and the fingerprint is again entered by sliding the fingerprint entry) still does not reach the standard, it indicates that the user is not in place to learn the sliding entry by prompting the information, and continues to enter the fingerprint in a pressing manner, and then the user can be continuously prompted to supplement the number of the images to be stitched by adopting a multi-pressing manner, so as to improve the quality of the obtained target fingerprint template.

For example, in some embodiments of the present application, confirming that a fingerprint behavior occurred was entered by pressing includes: splicing the fingerprint image obtained after the preset input times and the fingerprint image input again aiming at the abnormal input behavior of the number of the sheets to obtain a second total spliced image; and if the area of the second total spliced image is smaller than the set fourth area threshold value, confirming that the fingerprint behavior is input in a pressing mode.

It is understood that, in order to maximize the quality of the stitched image and reduce the number of entries, in some embodiments of the present application, one or more of the above examples may be adopted at the same time, and any combination of the above examples by those skilled in the art still belongs to the inventive concept of the present application. It is understood that the sequence of S204, S206 and S208 mentioned in the above method is only an example, the execution sequence of these steps may be adjusted back and forth in some embodiments of the present application, and these steps may also be executed synchronously in parallel in some embodiments of the present application.

The method for entering a fingerprint image is exemplarily explained below with reference to fig. 7, and four kinds of prompt information are involved in the entering method. In the following example, the method comprises two stages of sliding fingerprint entry, and after the two-stage sliding fingerprint entry process is finished, whether sheet number abnormal behavior exists is judged, when the sheet number abnormal behavior is confirmed, the third stage of sliding fingerprint entry is started, and the preset entry frequency of the stage is greater than the preset entry frequency of the previous two stages.

The sliding fingerprint input process in the first stage includes steps S701 to S713, through which a plurality of images to be stitched can be obtained, and then a first base library can be obtained after the images to be stitched are stitched, and the input process in the first stage is exemplarily explained below.

Step S701: whether the quality of a single image (i.e. the quality of a single fingerprint-collected image) is less than a threshold value, if so, the step S702 is executed and then the step S710 is executed, otherwise, the step S703 is executed. That is, firstly, image quality verification is performed on the original image acquired by the fingerprint acquisition unit, and if the quality (including pixel points of a fingerprint area) of a single fingerprint acquisition image is less than a set threshold value a, the image is not stored if the image quality is considered to be unqualified; otherwise, the image quality is qualified, and the image is stored.

That is, in some embodiments of the present application, the image to be stitched is a captured image that passes quality verification (i.e., an image obtained after performing a single image quality verification pass). It can be understood that the images to be stitched according to some embodiments of the present application are images subjected to quality determination screening, so that the quality of the obtained stitched images can be improved.

It should be noted that, a plurality of images are collected during one sliding process, S1 is performed on each image, and after the image quality is determined to be qualified, the corresponding image is stored, and the following steps S2 to S4 are performed to determine abnormal behavior based on the image stored in S1.

And S703, storing the image.

And S703, storing the screened fingerprint acquisition image meeting the single quality requirement after the single image quality judgment of S701 to obtain the image to be spliced.

Step S704, judging whether the number of the picked images is smaller than a threshold value, if so, executing S705 if the fast lifting behavior occurs in the fingerprint sliding input process, and otherwise, executing S706.

In some embodiments of the present application, whether or not a snap-off behavior occurs is determined according to the number of stored fingerprint images (i.e., the number of taken pictures of S704).

S705, storing the picture and prompting 'do not need to be raised quickly'.

It is understood that the prompt message of "do not quickly lift" provided in S705 belongs to one type of the first prompt message, and the embodiment of the present application does not limit the specific content of the prompt message provided to avoid such abnormal entry behavior.

And S710, judging whether the cycle number is less than a preset entry number 2, if so, restarting a single entry behavior, and otherwise, terminating the fingerprint sliding entry process in the first stage.

In some embodiments of the present application, if the number of picked-up images is less than the threshold d1, it is considered that the user stores and generates the prompt information (as an example of the first prompt information) prompting "do not fast lift" when the first entry is a fast lift behavior, and then starts to enter again and adds 1 to the number of entries when it is determined that the current cycle number is less than the preset number of entries, where the number of picked-up images refers to the total number of images picked up by the fingerprint acquisition unit from the period from when the finger starts to contact the fingerprint acquisition area to when the finger completely leaves the fingerprint acquisition area. It should be noted that, as described above, the manner of determining the fast-lifting corresponding to the step may also be determined by entering the effective pixel number or the effective area on the mosaic image for the first time, and no redundant description is provided herein to avoid repetition.

Through the steps, whether the user performs the quick lifting operation in each time of input can be confirmed, and if the quick lifting operation occurs, prompt information is generated to prompt the user to increase the contact time of the acquired object and the acquisition area.

In step S706, it is determined whether the overlapping proportion of the two preceding and succeeding images is smaller than a first threshold.

In combination with the above example, after determining whether the overlapping area proportion of any two front and back fingerprint images is smaller than the first threshold, it is further necessary to count the proportion of all adjacent fingerprint images smaller than the first threshold in the whole adjacent fingerprint image, if it is estimated that there is an abnormal entry behavior of too fast sliding in the present fingerprint sliding entry process according to the proportion, S707 is executed, and if not, S708 is executed.

It should be noted that, how to determine whether the abnormal behavior that is entered by fingerprint sliding too fast according to the duty ratio may refer to the related description in the above example, and no redundant description is repeated here to avoid repetition.

S707, storing the picture, and prompting that the "Do not slide too fast".

It is to be understood that the prompt information of S707 is a type of the second prompt information, and the embodiment of the present application does not limit the specific content of the second prompt information. For example, the second prompt message may be "please slow down the sliding speed" or the like.

And S710, judging whether the cycle number is less than the preset entry number 2, if so, starting the single entry behavior again, and otherwise, terminating the fingerprint sliding entry process of the first stage.

The above S706 exemplarily includes the following steps to determine whether the abnormal behavior of the slide-speed logging-in is occurred: and judging the overlapping ratio of the front and rear images (namely the overlapping area ratio of two adjacent fingerprint images), counting the total number of adjacent image pairs with the overlapping area ratio lower than a set threshold b, and presuming that abnormal behavior with excessively high sliding input speed occurs according to the fact that the ratio of the total number to the total number of the adjacent image pairs included in all the images which are acquired by first input and meet the quality requirement reaches the set threshold.

It can be understood that, in some embodiments of the present application, after it is determined that a corresponding abnormal behavior occurs and corresponding prompt information is given, when it is required to determine that the current cycle number is smaller than a preset entry number, if the current cycle number is smaller than the preset entry number, fingerprint entry is restarted, and the entry number is accumulated by 1.

Step S708, judging whether the overlapping occupation ratio of the two front and back images is larger than a second threshold value, counting the occupation ratio of all adjacent fingerprint images larger than the second threshold value in the whole adjacent fingerprint images, and executing step S709 if the abnormal recording behavior of too slow sliding exists in the fingerprint sliding recording process according to the occupation ratio, and executing step S713 if the abnormal recording behavior does not exist.

It should be noted that, how to determine whether the abnormal behavior in which the fingerprint sliding entry is too slow according to the duty ratio may refer to the related description in the above example, and no redundant description is repeated here to avoid repetition.

S709, storing the picture, and prompting that the sliding is too slow.

It is to be understood that the prompt information of S709 is a category of the second prompt information, and the embodiment of the present application does not limit the specific content of the second prompt information. For example, the second prompt message may be "please increase the sliding speed".

And S710, judging whether the cycle number is less than the preset entry number 2, if so, starting the single entry behavior again, and otherwise, terminating the fingerprint sliding entry process of the first stage.

The above S708 for exemplary determining whether the abnormal behavior in which the sliding speed is too slow includes the following steps: and judging the overlapping area ratio of the front and back adjacent images, counting the total number of the adjacent image pairs with the overlapping area ratio higher than a set threshold value c, and presuming that the abnormal behavior of excessively slow sliding entry speed occurs according to the fact that the ratio of the total number to the total number of the adjacent image pairs included in all the images which are acquired by first entry and meet the quality requirement reaches the set threshold value.

It can be understood that, in some embodiments of the present application, after the occurrence of the corresponding abnormal behavior is confirmed and the corresponding prompt information is given, when it is required to determine that the current cycle number is less than the preset entry number, if the current cycle number is less than the preset entry number, fingerprint entry is started again and the entry number is accumulated by 1.

For example, in the first entry process, 6 images with quality meeting the requirements are collected together, the 6 images with quality meeting the requirements form 5 pairs of front and back adjacent image pairs, the overlapping area ratio of each pair of image pairs is calculated to obtain 5 overlapping area ratio values, and if the ninety percent value of the 5 overlapping area ratio values is larger than the set large threshold value, the problem that the entry is too slow to slide is determined; if the eighty percent of the 5 overlapped area percentage values are smaller than the set smaller threshold value, the problem that the recording is too fast in sliding is determined.

For example, in the first recording process, 6 images with the quality meeting the requirement are collected together, the 6 images with the quality meeting the requirement form 5 pairs of front and back adjacent image pairs, 4 images are randomly taken out from the image pairs and the overlapping area ratio of the 4 image pairs is calculated, if the 4 ratios are all larger than a set threshold value, abnormal behavior with too slow sliding speed is presumed to occur, and if the 4 ratios are all smaller than the set threshold value, abnormal behavior with too fast interaction speed is presumed to occur.

For example, in the first recording process, 6 images with quality meeting the requirement are collected together, the 6 images with quality meeting the requirement form 5 pairs of front and back adjacent image pairs, the overlapping area ratio of each pair of image pairs is calculated to obtain 5 overlapping area ratio values, the average value of the 5 overlapping area ratio values is calculated, then if the average value is judged to be larger than a set threshold value, the abnormal behavior of excessively slow sliding speed is determined, and if the average value is smaller than the set threshold value, the abnormal behavior of excessively fast sliding speed is determined.

It should be noted that the entry process of the first stage may be ended after the preset number of entries, and all the images to be stitched obtained at this stage are subjected to a stitching operation to obtain the library 1.

It should be noted that, if it is determined that the fingerprint sliding entry in the first stage reaches the preset entry number, S712 is executed.

And S712, successfully inputting the fingerprint in the first stage, and adding 1 to the sliding times.

And S713, splicing the stored fingerprint images to obtain a first base library.

S714, determine whether the area of the bottom bank reaches the threshold (i.e. determine whether the area of the first bottom bank reaches the threshold), if yes, execute S727, otherwise execute S715.

It can be understood that the image corresponding to the first base library is a fingerprint template image which is obtained when no abnormal behavior occurs or the abnormal behavior reaches the preset entry times. In the whole sliding input process, the area of the bottom library (namely the area of the fingerprint template obtained by splicing) is continuously enlarged according to the sliding results of different users. That is to say, the base 1 is a fingerprint template image obtained by splicing all the images to be spliced recorded in the first stage.

It should be noted that, in order to reduce the number of entries, in some embodiments of the present application, the method further includes: and providing input direction prompt information when the fingerprint is input for the first time, wherein the input direction prompt information is used for prompting a user to vertically slide a finger across a long edge included in the fingerprint acquisition area in a sliding process, such as a sliding direction v3 shown in fig. 5 and a sliding direction v2 shown in fig. 4. That is to say, some embodiments of the present application provide the sixth prompt information indicating the sliding direction of the finger when first entering, where the sliding direction is perpendicular to the extending direction of the long edge of the fingerprint collection area (the sliding direction may be prompted and guided on the UI interface), so that the fingerprint sliding range is the largest and the contact area between the fingerprint and the collection area is the largest, and the maximum fingerprint template entry area can be reached under the minimum sliding times.

In some embodiments of the present application, after each entry, it is determined whether the entry can be terminated according to a stitched image, where the stitched image is obtained by stitching all images to be stitched that are obtained through the entry and through each entry before the entry. That is to say, some embodiments of the present application determine whether the quality of the stitched image meets the requirement after each entry, so as to terminate the entry process immediately and improve the speed of acquiring the target fingerprint template.

It should be noted that, in each entry process, it is determined whether the abnormal entry behaviors of S704, S706, and S708 occur, and if it is determined that the abnormal entry behavior occurs, the provided prompt information is used to adjust the fingerprint entry state in the next entry process. And if the preset recording times are finished, judging that the recording in the first stage is finished, and obtaining a first base library (namely the fingerprint template after the recording) according to the image to be spliced obtained by the recording in the stage. And then judging whether the area of the first bottom library reaches a threshold value, if so, finishing the whole input process, and taking the first bottom library as a target fingerprint template, otherwise, entering the fingerprint input of a second stage.

The following example describes the sliding fingerprint entry process in the second stage.

And S715, starting a fingerprint single-time recording process of the second stage.

And S716, executing single fingerprint input.

It should be noted that the relevant steps of S701, S704, S706, and S708 of the first stage are repeatedly executed in S716.

S717, judging whether the area of the bottom base reaches the threshold value, if so, executing S727, otherwise, executing S718.

That is to say, after the single fingerprint sliding entry in the second stage is executed, a new bottom library is obtained after the newly obtained images to be spliced are spliced with all the images to be spliced obtained in the first stage, and whether the area of the bottom library reaches the threshold value is judged.

S718, prompting that the finger sliding area is increased and the fingerprint edge is recorded.

That is to say, in the second stage, the sliding fingerprint input of the preset input times is repeatedly executed, if the total area of the bottom library is judged to reach the threshold value after the input in the second stage, the input is directly finished, all the images to be spliced are obtained and spliced to obtain the target fingerprint template, and if the total area of the bottom library does not reach the threshold value, a process of giving a third prompt message in S718 is executed, wherein the third prompt message can be a prompt message of 'please increase the finger sliding area and input the fingerprint edge'. The purpose of providing the third prompt information is to guide a user who only slides a finger in a small area, increase the finger sliding area and input more fingerprint images, and guide a user who locally inputs a fingerprint, input a new edge area and achieve more complete bottom library input.

It can be understood that, in some embodiments of the present application, the third prompt information is used to prompt the user to increase the contact area between the finger and the fingerprint acquisition area or adjust the contact position between the finger and the fingerprint acquisition area during the process of sliding the finger in the fingerprint acquisition area, so as to improve the quality of the stitched image obtained after the preset number of times of entry. The embodiment of the present application does not limit the specific content of the third prompt message.

And S719, judging whether the number of times of circulation is less than 2 (judging whether the number of times of recording is less than the preset number of times), if so, returning to S715 again to repeatedly execute single fingerprint sliding recording of the second stage, and if not, executing S720.

And S720, successfully inputting the fingerprint in the second stage, and adding 1 to the sliding times.

It should be noted that in some embodiments of the present application, after each entry in the second stage is finished, it is required to determine whether a preset entry frequency is reached, and if not, continue the entry, and repeatedly monitor whether the abnormal entry behavior occurs in each entry process and give a prompt message when the abnormal entry behavior is confirmed, so as to prompt a user to adjust an entry state when a fingerprint behavior is next executed.

And S721, splicing the fingerprint image obtained in the first stage and the fingerprint image obtained in the second stage to obtain a second bottom library.

And inputting the fingerprints with the preset input times in the second stage to obtain new fingerprint images, and splicing the new fingerprint images with all the fingerprint images obtained in the first stage to obtain a second base.

S722, judging whether the effective number reaches the requirement, if so, executing S727, otherwise, executing S723 to provide fourth prompt information.

For example, in some embodiments of the present application, the confirming the number of occurrences abnormal entry behavior includes: recording the preset recording times to obtain all fingerprint images; obtaining an effective image from the fingerprint images according to the overlapping area of any two adjacent fingerprint images included in all the fingerprint images; and if the total number of the effective images is less than the sheet number threshold value, determining that the abnormal sheet number recording behavior occurs. It should be noted that, in some embodiments of the present application, the determination process of the valid image is as follows: if the overlapping area of the front and rear images is larger than a set threshold value d, one image is counted as invalid and one image belongs to valid or two images are both counted as invalid images, or if two or more images are overlapped in a transition mode, two or more images are counted as an image to be spliced, namely the valid image at the position. The method aims to consider that partial user UI guides learning not in place or learners do not learn, the input is still performed in a pressing mode, and when the maximum allowable number of sliding input is reached, the input process is forcibly ended. Because the upper limit of the sliding entry times is far smaller than the upper limit of the pressing entry times, the final area of the bottom warehouse is possibly very small, and the unlocking experience is not good.

In some embodiments of the present application, after the second base is obtained, the effective number of sheets needs to be determined to confirm the occurrence of abnormal number-of-sheets entry behavior, where the abnormal number-of-sheets entry behavior is used to represent that the total number of effective images obtained by a sliding entry method does not meet a requirement, and the effective images are obtained according to the fingerprint image.

The sliding fingerprint entry process of the third stage is exemplarily described below.

S723, the UI prompts "please slide entry".

The UI prompts "please swipe in" (as an example of fourth prompt information), i.e., the swipe fingerprint entry process that starts the third phase restarts multiple entries. That is, if it is determined that the number of effective images does not satisfy the requirement, fourth presentation information for presenting that the user starts the slide entry again is generated.

And S724, fingerprint sliding recording.

And starting each sliding input process corresponding to the fingerprint sliding input in the third stage to obtain more images to be spliced, and repeatedly executing the abnormal behavior judgment process of the fingerprint input in the first stage when the fingerprint is input in each stage, so that the process is not repeated in detail for avoiding repetition.

S725, determine whether the area of the bottom bank reaches the threshold, if yes, execute S727, otherwise execute S726.

And S726, judging whether the circulation frequency is less than 20, if so, returning to S724, and if not, executing S727. It will be appreciated that the above-described,

judging that the total area of the bottom library reaches a threshold value after each entry, if so, terminating the entry process, and if not, judging whether the newly set entry times of the restarted entry process are reached after adding 1 to the entry times, wherein the newly set entry times corresponding to the third stage in some embodiments of the application are 20, so that the method can be understood as being compatible with a pressing entry user through amplifying the entry times and forming a larger bottom library.

And S727, ending the recording.

And after the input is finished, namely the sliding input is finished, the images to be spliced obtained in the three stages are spliced to obtain the target fingerprint template, and the target fingerprint template can be used for unlocking the equipment. In the unlocking process, the algorithm of the embodiment of the application still performs base expansion updating. It is understood that, in order to further improve the quality of the mosaic, in some embodiments of the present application, the target fingerprint template is obtained by mosaicing the images to be mosaiced and the authenticated fingerprint images. That is to say, in some embodiments of the present application, in the fingerprint authentication process, the fingerprint that has passed the authentication is also used as an image to be stitched to further update the target fingerprint template stored in the database, and the quality of the target fingerprint template is dynamically updated.

It should be noted that, as a specific example of the fingerprint image entry method provided by the present application, fig. 7 does not include all types of abnormal entry behaviors, and therefore does not include all types of prompt information provided by some embodiments of the present application, for example, a person skilled in the art may arbitrarily combine, under the teaching of the foregoing five examples of the present application, the above types of abnormal entry behaviors and the first prompt information, the second prompt information, the third prompt information, the fourth prompt information, and the fifth prompt information corresponding to the types of abnormal entry behaviors, which are all included in the inventive concept of the present application.

It is understood that, in some embodiments of the present application, the providing the target prompt information in S103 includes: and providing the target prompt information in a voice, text or animation mode. Some embodiments of the application provide the target prompt information in multiple ways to improve the generality of the technical scheme.

Some embodiments of the present application provide a method of fingerprint identification, the method comprising: according to the fingerprint image obtained by any embodiment of the method for inputting the fingerprint image, a fingerprint template is generated, and fingerprint authentication is carried out according to the fingerprint template and the fingerprint image to be authenticated.

Some embodiments of the application provide a computer readable storage medium having stored thereon a computer program which, when executed by a processor, may implement the method as described in any of the embodiments included in the method of fingerprint image entry.

Some embodiments of the application provide a computer program product comprising a computer program, wherein the computer program when executed by a processor may implement the method as any of the embodiments comprised by the method of fingerprint image entry.

Referring to fig. 8, fig. 8 shows a device for fingerprint image entry provided by the embodiment of the present application, and it should be understood that the device corresponds to the embodiment of the method in fig. 2, and is capable of executing various steps involved in the embodiment of the method, and specific functions of the device may be referred to the description above, and detailed descriptions are appropriately omitted here to avoid repetition. The device includes at least one software functional module that can be stored in memory in the form of software or firmware or be fixed in the operating system of the device, and the fingerprint image entry device includes: an abnormal behavior monitoring module 801, a target prompt information generation module 802 and a providing module 803.

The abnormal behavior monitoring module 801 is configured to monitor abnormal entry behavior occurring during entry of a fingerprint image by sliding a finger.

The target prompt information generation module 802 is configured to generate target prompt information for the abnormal entry behavior, where the target prompt information is used to prompt the fingerprint entry user to adjust the fingerprint entry state.

The providing module 803 is configured to provide the target prompt information.

It is clear to those skilled in the art that, for convenience and brevity of description, the specific working process of the apparatus described above may refer to the corresponding process in the foregoing method, and will not be described in too much detail herein.

As shown in fig. 9, some embodiments of the present application provide an electronic device 900, which includes a memory 910, a processor 920 and a computer program stored on the memory 910 and executable on the processor 920, wherein the processor can implement the method according to any of the above embodiments when executing the program.

The processor 920 may process digital signals and may include various computing structures. Such as a complex instruction set computer architecture, a structurally reduced instruction set computer architecture, or an architecture that implements a combination of instruction sets. In some examples, processor 920 may be a microprocessor.

Memory 910 may be used to store instructions that are executed by processor 920 or data related to the execution of instructions. The instructions and/or data may include code for performing some or all of the functions of one or more of the modules described in embodiments of the application. The processor 920 of the disclosed embodiment may be used to execute instructions in the memory 910 to implement the method shown in fig. 2. Memory 910 includes dynamic random access memory, static random access memory, flash memory, optical memory, or other memory known to those skilled in the art.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.

The functions may be stored in a computer-readable storage medium if they are implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk, and various media capable of storing program codes.

The above description is only an example of the present application and is not intended to limit the scope of the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present application shall be included in the protection scope of the present application. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined or explained in subsequent figures.

The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

It should be noted that, in this document, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.

Claims (21)

1. A method of fingerprint image entry, the method comprising:

monitoring abnormal recording behaviors in the process of recording a fingerprint image by sliding a finger;

generating target prompt information aiming at the abnormal input behavior, wherein the target prompt information is used for prompting a fingerprint input user to adjust a fingerprint input state;

and providing the target prompt message.

2. The method of claim 1, wherein the exception entry behavior comprises: the contact duration of the finger and the fingerprint acquisition area does not meet the requirement, the sliding speed of the finger in the fingerprint acquisition area does not meet the requirement, and the contact position or the contact area of the finger and the fingerprint acquisition area does not meet the requirement.

3. The method of any one of claims 1-2,

the monitoring of the abnormal logging behavior comprises the following steps:

confirming that a quick lifting action occurs in the ith entry, wherein the quick lifting action is used for representing that the contact duration of a finger and the fingerprint acquisition area does not meet the requirement;

the generating of the target prompt information aiming at the abnormal entry behavior comprises:

and generating first prompt information aiming at the quick lifting behavior, wherein the first prompt information is used for prompting the user to prolong the contact time of the finger and the fingerprint acquisition area in the next entering.

4. The method of claim 3,

the confirmation occurs a snap-up behavior in the ith entry, including:

and determining that the fast lifting behavior occurs according to the total number of fingerprint images in the ith entry.

5. The method of claim 3,

the confirmation occurs a snap-up behavior in the ith entry, including:

splicing the fingerprint images obtained by the ith input to obtain an ith spliced image;

and confirming the fast lifting behavior according to the ith spliced image.

6. The method of claim 5, wherein the confirming of the fast-lift behavior from the ith stitched image comprises any one of:

if the number of pixels in a connected region on the ith spliced image is smaller than a first pixel threshold value, confirming that the fast lifting behavior occurs;

if the area of the communication region on the ith spliced image is smaller than a first area threshold value, confirming that the quick lifting behavior occurs;

if the number of the fingerprint pixels of the connected area on the ith spliced image is smaller than a first fingerprint pixel threshold value, confirming that the fast lifting behavior occurs;

and if the fingerprint area of the communication area on the ith spliced image is smaller than a first fingerprint area threshold value, confirming that the fast lifting behavior occurs.

7. The method of any one of claims 1 to 6,

the monitoring of the occurring abnormal recording behaviors comprises the following steps:

confirming the recording speed abnormal behavior in the ith recording, wherein the recording speed abnormal behavior is used for representing that the sliding speed of a finger in a fingerprint acquisition area does not meet the requirement;

the generating of the target prompt information aiming at the abnormal entry behavior comprises:

and generating second prompt information aiming at the abnormal behavior of the input speed, wherein the second prompt information is used for prompting the user to adjust the sliding speed of the finger in the fingerprint acquisition area in the next input process.

8. The method of claim 7,

the confirmation of the abnormal logging speed behavior in the ith logging comprises the following steps:

and confirming the abnormal recording speed behavior according to the overlapping area between two adjacent fingerprint images obtained in the ith recording.

9. The method of claim 8,

the step of confirming the abnormal behavior of the input speed according to the overlapping area between two adjacent fingerprint images obtained in the ith input comprises the following steps:

acquiring k pairs of adjacent fingerprint images obtained in the ith input, and calculating the ratio of overlapping areas of each pair of adjacent fingerprint images in the k pairs of adjacent fingerprint images to obtain k overlapping area ratio values;

if the proportion smaller than the first value in the k overlapping area proportion values is larger than or equal to the first proportion value, determining that abnormal behavior with too high input speed occurs;

the generating of the second prompt message aiming at the input speed abnormal behavior comprises:

and generating the second prompt information aiming at the abnormal behavior of the entering too fast speed and used for slowing down the sliding speed of the finger in the fingerprint acquisition area.

10. The method of claim 8,

the step of confirming the abnormal recording speed behavior according to the overlapping area between two adjacent fingerprint images obtained in the ith recording comprises the following steps:

acquiring k pairs of adjacent fingerprint images obtained in the ith input, and calculating the overlapping area ratio of each pair of adjacent images in the k pairs of adjacent fingerprint images to obtain k overlapping area ratio values;

if the occupation ratio of the k overlapped area occupation ratios which is larger than the second value is larger than or equal to the second proportion value, determining that the abnormal behavior of the input speed over-slow occurs;

the generating of the second prompt message aiming at the entry speed abnormal behavior comprises:

and generating the second prompt information aiming at the abnormal behavior of the input speed over-slow and used for increasing the sliding speed of the finger in the fingerprint acquisition area.

11. The method of any one of claims 1-10,

the monitoring of the occurring abnormal recording behaviors comprises the following steps:

confirming abnormal behavior that an acquisition region does not meet the standard, wherein the abnormal behavior that the acquisition region does not meet the standard is used for representing that the contact position or the contact area of a finger and a fingerprint acquisition region does not meet the requirement;

the generating of the target prompt information aiming at the abnormal entry behavior comprises:

and generating third prompt information aiming at abnormal behaviors that the acquisition region does not reach the standard, wherein the third prompt information is used for prompting the user to increase the contact area of the finger and the fingerprint acquisition region or adjust the contact position of the finger and the fingerprint acquisition region in the process of sliding the finger in the fingerprint acquisition region.

12. The method of claim 11,

the abnormal behavior that the occurrence of the acquisition area does not reach the standard is confirmed, and the abnormal behavior comprises the following steps:

splicing all fingerprint images obtained after the preset input times are input to obtain a first total spliced image;

and if the area of the first total spliced image is smaller than a set third area threshold value, confirming that the abnormal behavior of the acquisition region which does not reach the standard occurs.

13. The method of any one of claims 1-11,

the monitoring of the abnormal logging behavior comprises the following steps:

confirming the occurrence of abnormal recording behavior of the number of sheets, wherein the abnormal recording behavior of the number of sheets is used for representing that the total number of effective images obtained in a sliding recording mode does not meet the requirement, and the effective images are obtained according to the fingerprint images;

the generating of the target prompt information aiming at the abnormal entry behavior comprises:

and generating fourth prompt information aiming at the sheet count abnormal entry behavior, wherein the fourth prompt information is used for prompting the user to start sliding entry again.

14. The method according to claim 13, wherein the confirming the occurrence count anomaly entry behavior comprises:

recording the preset recording times to obtain all fingerprint images;

obtaining an effective image from the fingerprint images according to the overlapping area of any two adjacent fingerprint images included in all the fingerprint images;

and if the total number of the effective images is less than the sheet number threshold value, determining that the abnormal sheet number recording behavior occurs.

15. The method of any one of claims 1-14,

the monitoring of the occurring abnormal recording behaviors comprises the following steps:

confirming that a fingerprint behavior is input in a pressing mode, wherein the judgment process of inputting the fingerprint behavior in the pressing mode is performed after the input times of the fingerprint reach the preset input times;

the generating of the target prompt information aiming at the abnormal entry behavior comprises:

and generating fifth prompt information aiming at the fingerprint behavior input in a pressing mode, wherein the fifth prompt information is used for prompting the user to acquire the image to be spliced by pressing the acquisition area for multiple times.

16. The method of any one of claims 1-17, wherein said providing the target reminder information comprises: and providing the target prompt information in a voice, text or animation mode.

17. The method of any one of claims 1-18, further comprising: and providing sixth prompt information indicating the sliding direction of the finger when the finger is firstly recorded, wherein the sliding direction is vertical to the extending direction of the long edge of the fingerprint acquisition area.

18. A method of fingerprint identification, the method comprising: generating a fingerprint template from a fingerprint image obtained according to any one of claims 1 to 17, and performing fingerprint authentication based on the fingerprint template and the fingerprint image to be authenticated.

19. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, is adapted to carry out the method of any one of claims 1 to 18.

20. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program is operable to implement the method of any one of claims 1 to 18.

21. A computer program product, characterized in that the computer program product comprises a computer program, wherein the computer program when executed by a processor implements the method according to any one of claims 1-18.

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