WO2023245357A1

WO2023245357A1 - Fingerprint recognition method and apparatus, and device and storage medium

Info

Publication number: WO2023245357A1
Application number: PCT/CN2022/099920
Authority: WO
Inventors: 王刚
Original assignee: 北京小米移动软件有限公司
Priority date: 2022-06-20
Filing date: 2022-06-20
Publication date: 2023-12-28
Also published as: CN117859133A

Abstract

The present disclosure relates to a fingerprint recognition method and apparatus, and a device and a storage medium. The fingerprint recognition method comprises: receiving a fingerprint recognition input; and according to a fingerprint state scenario to which the fingerprint recognition input belongs, executing a fingerprint recognition operation corresponding to the fingerprint state scenario.

Description

A fingerprint identification method, device, equipment and storage medium

Technical field

The present disclosure relates to the field of computer technology, and in particular, to a fingerprint identification method, device, equipment and storage medium.

Background technique

With the popularity of under-screen optical fingerprint solutions, due to the influence of optical principles, when identifying fingerprints, it is necessary to first expose and then collect fingerprint data. The length of exposure time directly affects the signal-to-noise ratio of the fingerprint image. The longer the exposure time, the lower the signal-to-noise ratio. The higher the noise ratio, the higher the success rate of fingerprint recognition. The exposure time is the time the user's finger is placed on the screen. In order to improve the success rate of fingerprint recognition, the longer the exposure time is required, the longer the user's finger is required to be placed on the screen, resulting in a worse user experience using fingerprint recognition. .

Contents of the invention

In order to overcome the problems existing in related technologies, the present disclosure provides a fingerprint identification method, device, equipment and storage medium.

According to a first aspect of an embodiment of the present disclosure, a fingerprint identification method is provided, and the identification method includes:

Receive fingerprint recognition input;

According to the fingerprint status scene to which the fingerprint recognition input belongs, a fingerprint recognition operation corresponding to the fingerprint status scene is performed.

In an exemplary embodiment, performing a fingerprint recognition operation corresponding to the fingerprint status scenario according to the fingerprint status scenario to which the fingerprint recognition input belongs includes:

In response to the fingerprint status scene of the fingerprint recognition input being an abnormal fingerprint recognition scene, the first fingerprint image data is obtained based on the first exposure process;

A fingerprint recognition process is performed based on the first fingerprint image data, and a second exposure process is performed within a preset time period after the first exposure process.

In an exemplary embodiment, performing the second exposure process within a preset time period after the first exposure process includes:

During the fingerprint recognition process based on the first fingerprint image data, the second exposure process is performed.

In an exemplary embodiment, the fingerprint identification process based on the first fingerprint image data includes:

Perform fingerprint recognition processing based on the first characteristic data of the first fingerprint image data to complete the fingerprint recognition processing of the first fingerprint image data;

or,

Perform fingerprint recognition processing based on the first feature data of the first fingerprint image data;

After the first feature data recognition of the first fingerprint image data fails, fingerprint recognition processing is performed based on the second feature data of the first fingerprint image data to complete the fingerprint recognition processing of the first fingerprint image data; the third The feature data content of the second feature data is more than the feature data content of the first feature data.

In an exemplary embodiment, performing the second exposure process during the fingerprint identification process based on the first fingerprint image data includes:

The second exposure process is performed while starting the fingerprint recognition process based on the first feature data of the first fingerprint image data.

After the first feature data of the first fingerprint image data fails to be recognized, the second exposure process is performed.

A fingerprint recognition process is performed based on the first characteristic data of the first fingerprint image data to complete the fingerprint recognition process of the first fingerprint image data.

In an exemplary embodiment, it also includes:

In response to the fingerprint recognition failure of the first fingerprint image data, a fingerprint recognition process is performed based on the second fingerprint image data obtained by the second exposure process.

In an exemplary embodiment, it also includes:

If the number of fingerprint image quality acquired within the target period that meets the preset requirements is less than the first preset threshold, and/or the recognition success rate within the target period is less than the second preset threshold, determine the fingerprint status scene within the target period. For abnormal fingerprint recognition scenarios;

and / or,

If the target user's fingerprint image quality meeting the preset requirements within the first preset time period is less than the first preset threshold, and/or, the target user's fingerprint recognition success rate within the second preset time period is less than the second preset threshold, The scene of fingerprint recognition input by the target user is determined as an abnormal fingerprint recognition scene.

In an exemplary embodiment, the fingerprint identification method further includes:

In response to the time of the fingerprint recognition input falling within a preset period, it is determined that the fingerprint recognition scene is an abnormal fingerprint recognition scene;

and / or,

The user who responded to the fingerprint recognition input is the default user, and the scene to which the fingerprint recognition input belongs is determined to be an abnormal fingerprint recognition scene.

According to a second aspect of an embodiment of the present disclosure, a fingerprint identification device is provided, where the identification device includes:

a receiving module configured to receive fingerprint recognition input;

The first recognition module is configured to perform a fingerprint recognition operation corresponding to the fingerprint status recognition scenario according to the fingerprint status recognition scenario to which the fingerprint recognition input belongs.

In an exemplary embodiment, the first identification module is further configured to:

or,

In an exemplary embodiment, it also includes:

The second identification module is configured to perform a fingerprint identification process based on the second fingerprint image data obtained by the second exposure process in response to a fingerprint identification failure of the first fingerprint image data.

In an exemplary embodiment, it also includes:

The first determination module is configured to: if the number of fingerprint image quality acquired within the target period that meets the preset requirements is less than the first preset threshold, and/or the recognition success rate within the target period is less than the second preset threshold, the The fingerprint status scene within the target period is determined to be an abnormal fingerprint recognition scene;

and / or,

The first determination module is configured to: if the target user's fingerprint image quality meets the preset requirements within the first preset time period, the number is less than the first preset threshold, and/or, the target user's fingerprint recognition is successful within the second preset time period If the rate is less than the second preset threshold, the scene of the target user's fingerprint recognition input is determined to be an abnormal fingerprint recognition scene.

In an exemplary embodiment, the fingerprint identification device further includes:

a second determination module configured to determine that the fingerprint recognition scene is an abnormal fingerprint recognition scene in response to the time of the fingerprint recognition input belonging to a preset period;

and / or,

The second determination module is configured to determine that the user responding to the fingerprint recognition input is the default user and determines that the scene to which the fingerprint recognition input belongs is an abnormal fingerprint recognition scene.

According to a third aspect of an embodiment of the present disclosure, an electronic device is provided, including:

processor;

Memory used to store instructions executable by the processor;

Wherein, the processor is configured to perform the method according to any one of the first aspects of the embodiments of the present disclosure.

According to a fourth aspect of an embodiment of the present disclosure, a non-transitory computer-readable storage medium is provided, which when instructions in the storage medium are executed by a processor of a device, enables the device to perform the first step of the embodiment of the present disclosure. The method described in any one of the aspects.

Adopting the above method of the present disclosure has the following beneficial effects: for different fingerprint status scenarios, corresponding fingerprint recognition operations are performed to shorten the overall time of fingerprint recognition and improve the success rate of fingerprint recognition.

It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only, and do not limit the present disclosure.

Description of the drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure.

Figure 1 is a flow chart of a fingerprint identification method according to an exemplary embodiment.

FIG. 2 exemplarily shows a flowchart of a method for performing a fingerprint recognition operation corresponding to a fingerprint status scene according to the fingerprint status scene to which the fingerprint recognition input belongs in step S102.

Figure 3 is a block diagram of a fingerprint identification device according to an exemplary embodiment.

FIG. 4 is a block diagram of a device for fingerprint identification according to an exemplary embodiment.

Detailed ways

Exemplary embodiments will be described in detail herein, examples of which are illustrated in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with aspects of the disclosure as detailed in the appended claims.

In related technologies, in the under-screen fingerprint solution, when identifying fingerprints, the first identification process includes three processes: first exposure, rapid identification, and complete identification. When the first identification fails, a second identification is performed, and the second identification process includes Re-exposure and complete identification. Re-exposure increases the signal-to-noise ratio of the fingerprint image by increasing the exposure time to ensure the success rate of fingerprint recognition. Among them, the first exposure and the second exposure are in a serial relationship, and the user needs to keep his finger on the screen of the terminal during the exposure process. When users whose fingerprints are difficult to identify perform fingerprint recognition, their fingers need to be placed on the screen until the exposure is completed again to ensure the success rate of fingerprint recognition. In this case, the recognition time is longer, which affects the user experience.

During the first recognition process, the first exposure time is recorded as T1, the quick recognition time is recorded as T2, and the complete recognition time is recorded as T3. When the user in the fingerprint state performs fingerprint recognition, after the first recognition fails, the second recognition process is performed. During the recognition process, the re-exposure time is recorded as T1', and the complete recognition time based on the re-exposure is recorded as T3, where T1'>T1. At this time, the fingerprint recognition time T is: T=T1+T2+T3+T1'+T3. The time Ttouch that the finger needs to be placed on the screen is at least: Ttouch=T1+T2+T3+T1'. The finger is placed for a longer time. , affecting user experience.

In an exemplary embodiment of the present disclosure, a fingerprint identification method is provided, which is applied to a terminal. The terminal includes electronic devices with an under-screen fingerprint identification function, such as smartphones, tablets, and smart wearable devices. Figure 1 is a flow chart of a fingerprint identification method according to an exemplary embodiment. As shown in Figure 1, the fingerprint identification method includes the following steps:

Step S101: Receive fingerprint recognition input;

Step S102: According to the fingerprint status scene to which the fingerprint recognition input belongs, perform a fingerprint recognition operation corresponding to the fingerprint status scene.

The fingerprint identification method provided in the exemplary embodiments of the present disclosure is applied to under-screen fingerprint identification.

In an exemplary embodiment of the present disclosure, in order to overcome problems in related technologies, a fingerprint identification method is provided. Receive fingerprint recognition input, and perform fingerprint recognition operations corresponding to the fingerprint status scene according to the fingerprint status scene to which the fingerprint recognition input belongs, so as to shorten the overall time of fingerprint recognition and improve the success rate of fingerprint recognition.

In step S101, a fingerprint recognition input is received.

The input for fingerprint recognition includes the fingerprint image obtained after the under-screen fingerprint recognition function is triggered. For example, if a finger is placed in a preset area of the terminal display for more than a preset time, or other preset rules can awaken the under-screen fingerprint recognition function, the fingerprint is obtained. image.

In step S102, according to the fingerprint status scene to which the fingerprint recognition input belongs, a fingerprint recognition operation corresponding to the fingerprint status scene is performed.

The status of the fingerprint includes the quality of the fingerprint image. The fingerprint status scenarios include scenarios where the fingerprint image quality is good and the fingerprint is easy to identify, and scenarios where the fingerprint quality is poor and the fingerprint is difficult to identify. After receiving the fingerprint recognition input, the fingerprint status scene to which it belongs is determined, that is, a scene in which the fingerprint image is difficult to identify or a scene in which the fingerprint image is easy to identify. After the fingerprint status scene is determined, different fingerprint recognition operations are performed for different fingerprint status scenes. For example, for scenes where fingerprint images are easy to identify, a single-exposure fingerprint recognition operation is performed; for scenes where fingerprints are difficult to identify, a double-exposure fingerprint identification operation is performed.

For example, the fingerprint status scene may be determined according to the time period to which the input time of the fingerprint recognition input belongs and/or the user of the fingerprint recognition input.

In an exemplary embodiment of the present disclosure, after receiving the input of fingerprint recognition, the fingerprint status scenario is determined according to the input of fingerprint recognition, and corresponding fingerprint recognition operations are performed for different fingerprint status scenarios to shorten the overall time of fingerprint recognition. , improve the success rate of fingerprint recognition.

In an exemplary embodiment, Figure 2 exemplarily shows a flowchart of a method for performing a fingerprint recognition operation corresponding to a fingerprint status scene according to the fingerprint status scene to which the fingerprint recognition input belongs in step S102, as shown in Figure 2. Includes the following steps:

Step S201, in response to the fingerprint status scene entered by the fingerprint recognition being an abnormal fingerprint recognition scene, obtain the first fingerprint image data based on the first exposure process;

Step S202: Perform a fingerprint recognition process based on the first fingerprint image data, and perform a second exposure process within a preset time period after the first exposure process.

When the fingerprint status scene of the fingerprint recognition input is an abnormal fingerprint recognition scene, it means that the fingerprint recognition input is a fingerprint image that is not easily recognized. The abnormal fingerprint recognition scene can be determined by any method that can determine that the fingerprint recognition input is a fingerprint image that is not easily recognized. For example, the abnormal fingerprint recognition scene can be determined according to The fingerprint image quality or recognition success rate within the preset period can also be based on the environmental scene input by fingerprint recognition, etc.

When the fingerprint status scene is an abnormal fingerprint recognition scene, the first fingerprint image data is obtained based on the first exposure process. When performing fingerprint recognition on the first fingerprint image data, the recognition success rate is extremely low, so it is necessary to perform fingerprint recognition after the first exposure process. Within the preset time period, a second exposure process is performed to obtain fingerprint data again and improve the success rate of fingerprint recognition. The preset time period can be 0, or it can be a period of time after the first fingerprint image data is recognized and processed, that is, the second exposure process can be performed at the same time as the first fingerprint image data is processed for fingerprint recognition, or it can be performed during the fingerprint recognition process. During the fingerprint identification process on the first fingerprint image data, the second exposure process is performed before the fingerprint identification process is completed. The second exposure process may also be performed after the fingerprint identification process on the first fingerprint image data is completed.

Get the processor type of the terminal. Different types of processors handle exposure differently. According to the type of terminal processor, determine whether the terminal supports parallel exposure mode. If the terminal supports parallel exposure mode, it means that the second exposure operation can be done with If other operations are executed at the same time, the second exposure process will be executed before the fingerprint recognition processing of the first fingerprint image data is completed; if the terminal does not support the parallel exposure method, it means that the second exposure operation cannot be executed at the same time as other operations, and then the second exposure operation will be executed at the same time. After the fingerprint recognition process of the first fingerprint image data is completed, the second exposure process is performed.

In an exemplary embodiment of the present disclosure, fingerprint-related data is acquired again by performing a second exposure process to improve the success rate of fingerprint identification.

In an exemplary embodiment, performing a second exposure process within a preset time period after the first exposure process includes: performing a second exposure process during a fingerprint recognition process based on the first fingerprint image data. Exposure processing.

When the terminal supports the parallel exposure mode, the second exposure process is performed during the fingerprint recognition process based on the first fingerprint image data, that is, the second exposure process is performed before the fingerprint recognition process on the first fingerprint image data is completed. Since the fingerprint recognition success rate of the first fingerprint image data is extremely low in abnormal fingerprint recognition scenarios, before the fingerprint recognition of the first fingerprint image data fails, the second exposure process is performed in advance to obtain the fingerprint again. Related data can shorten the entire fingerprint identification time.

In an exemplary embodiment, when the terminal supports the parallel exposure mode, fingerprint recognition processing is performed based on the first fingerprint image data, including the following two situations:

The first method is to perform fingerprint recognition processing based on the first characteristic data of the first fingerprint image data to complete the fingerprint recognition processing of the first fingerprint image data.

The first feature data is part of the feature data of the first fingerprint image data, and the fingerprint recognition process performed on the first feature data is a rapid recognition process. The fingerprint recognition process on the first fingerprint image may only include a quick recognition process.

The second method is to perform fingerprint recognition processing based on the first feature data of the first fingerprint image data; after the first feature data recognition of the first fingerprint image data fails, perform fingerprint recognition processing based on the second feature data of the first fingerprint image data. , to complete the fingerprint recognition processing of the first fingerprint image data; the feature data content of the second feature data is more than the feature data content of the first feature data.

The second feature data is all or part of the feature data of the fingerprint image data, and the feature data content of the second feature data is more than the feature data content of the first feature data. The fingerprint recognition process performed on the second characteristic data is a complete recognition process. When performing fingerprint recognition on the first fingerprint image data, the first feature data is first recognized. After the recognition fails, the fingerprint recognition is then performed on the second feature data that is more than the first feature data. The fingerprint recognition process on the first fingerprint image may include a quick recognition process and a complete recognition process.

In an exemplary embodiment, during the fingerprint recognition process based on the first fingerprint image data, performing the second exposure process includes: starting the fingerprint recognition process based on the first feature data of the first fingerprint image data. At the same time, the second exposure process is performed.

When the terminal supports the parallel exposure mode, in order to shorten the entire fingerprint recognition process, the second exposure process is performed while starting the fingerprint recognition process based on the first feature data of the first fingerprint image data, that is, the second exposure process is performed at the same time as the rapid recognition. Second exposure. After the fingerprint recognition process of the first feature data of the first fingerprint image data is completed, if the recognition fails, it is necessary to execute the fingerprint recognition process of the second feature data of the first fingerprint image data. Since the second exposure process is performed simultaneously with the fingerprint recognition process of the first feature data, if the fingerprint recognition of the second feature data of the first fingerprint image data also fails, the second exposure process has been completed at this time, and the second exposure process is completed again. More fingerprint data is obtained, so fingerprint identification can be performed immediately on the fingerprint data obtained again. In order to ensure the success rate of fingerprint identification, the fingerprint identification processing on the fingerprint data obtained by the second exposure process is a complete identification process, so , in the entire process of fingerprint identification, it is equivalent to reducing the time of the second exposure processing, thereby shortening the overall time of fingerprint identification.

In an example, when in an abnormal fingerprint recognition scene, the time of the first exposure processing is marked as T1, the time of the fingerprint recognition processing of the first feature data of the first fingerprint image data is marked as T2, and the time of the first exposure processing of the first fingerprint image data is marked as T2. The fingerprint recognition processing time of the second characteristic data is recorded as T3, the time of the second exposure processing is T1', and the fingerprint recognition time of the fingerprint data obtained by the second exposure processing is recorded as T3, where T1'>T1. At this time, since the second exposure process and the fingerprint recognition process of the first feature data of the first fingerprint image data are performed simultaneously, the time of the second exposure process does not occupy additional fingerprint recognition time. Therefore, the total fingerprint recognition time T ' is: T'=T1+T2+T3+T3, and the time Ttouch1' that the finger needs to be placed on the screen is at least: Ttouch1'=T1+T1'. The overall duration of fingerprint recognition reduces the second exposure processing time, that is, the fingerprint recognition time is reduced by T1’, and the time that the finger needs to be placed on the screen only requires T1+T1’.

It should be noted that when performing the second exposure process, the fingerprint recognition process may be started based on the first feature data of the first fingerprint image data at the same time, or the fingerprint recognition process may be started based on the first feature data of the first fingerprint image data. After the fingerprint recognition process, and before the fingerprint recognition process is started based on the second feature data of the first fingerprint image data, the fingerprint recognition process can also be started based on the second feature data of the first fingerprint image data, as long as it is ensured that Before fingerprint recognition of the second feature data of the first fingerprint image data is completed, the second exposure process is completed.

In an exemplary embodiment of the present disclosure, when the terminal supports the parallel exposure mode, while starting the fingerprint recognition process based on the first feature data of the first fingerprint image data, the second exposure process is performed, which can save the second exposure process. The exposure processing time also reduces the time the finger needs to be placed on the terminal screen and the entire fingerprint recognition time, improving the user experience.

In an exemplary embodiment, performing the second exposure process within a preset time period after the first exposure process includes: performing the second exposure process after the first feature data recognition of the first fingerprint image data fails. Exposure processing.

When the terminal supports the serial exposure mode but does not support the parallel exposure mode, in order to shorten the entire fingerprint recognition process, after the first feature data of the first fingerprint image data fails to be recognized, the second exposure process is performed, that is, during the rapid recognition process A second exposure is performed after recognition failure. After the fingerprint recognition process of the first feature data of the first fingerprint image data is completed, if the recognition fails, it can be determined that a second exposure process is required, and the fingerprint recognition of the second feature data of the first fingerprint image is no longer performed. Therefore, , in the entire process of fingerprint recognition, it is equivalent to reducing the time for fingerprint recognition of the second feature data of the first fingerprint image, thereby shortening the overall time for fingerprint recognition.

In an example, when in an abnormal fingerprint recognition scene, the time of the first exposure process is marked as T1, the time of fingerprint recognition of the first feature data of the first fingerprint image data is marked as T2, and the time of the second exposure process is marked as T2. It is recorded as T1', and the fingerprint identification time of the fingerprint data obtained after the second exposure process is recorded as T3, where T1'>T1. At this time, the total fingerprint recognition time T” is: T”=T1+T2+T1’+T3, and the time Ttouch2’ that the finger needs to be placed on the screen is at least: Ttouch2’=T1+T2+T1’. The fingerprint recognition time reduces the recognition time T3 of the second feature data of the second fingerprint image data, and the time the finger needs to be placed on the screen also reduces the recognition time T3 of the second feature data of the second fingerprint image data.

When the terminal supports the serial exposure mode and is in an abnormal fingerprint recognition scenario, when the fingerprint recognition of the first feature data of the first fingerprint image fails, the fingerprint recognition of the second feature data of the first fingerprint image data is no longer performed, and the fingerprint recognition is performed directly. The second exposure process saves the time of the entire fingerprint recognition, while reducing the time that the finger needs to be placed on the terminal screen, improving the user experience.

In an exemplary embodiment, performing fingerprint recognition processing based on the first fingerprint image data includes: performing fingerprint recognition processing based on first feature data of the first fingerprint image data to complete the fingerprint recognition processing of the first fingerprint image data.

When the terminal supports the serial exposure mode, the fingerprint recognition processing of the first fingerprint image only includes fingerprint recognition processing based on the first feature data.

In an exemplary embodiment, after the second exposure process is performed in step S202, the fingerprint recognition method further includes: in response to a fingerprint recognition failure of the first fingerprint image data, based on the second fingerprint image obtained by the second exposure process. The data is processed for fingerprint identification.

After the second exposure process, second fingerprint image data is obtained. The second fingerprint image data has more feature data content than the first fingerprint image data, so as to improve the success rate of fingerprint recognition. When the recognition of the first fingerprint image data fails, recognition processing is performed on the second fingerprint image data obtained by the second exposure process.

In an exemplary embodiment, determining abnormal fingerprint recognition scenarios includes the following two situations:

The first method: If the number of fingerprint image quality acquired within the target period that meets the preset requirements is less than the first preset threshold, and/or the recognition success rate within the target period is less than the second preset threshold, the fingerprint status within the target period will be The scene was determined to be an abnormal fingerprint recognition scene.

The first situation is for the time period when fingerprints are not easy to identify. Within the target period, parameters related to fingerprint image quality are obtained. The target period can be set according to actual needs, or the number of consecutive identifications can be set according to actual needs. For example, the target period is set between 10 and 11 p.m. time period, or set to the time period for 100 consecutive fingerprint recognitions. Within the target period, determine whether the fingerprint image quality meets the preset requirements based on parameters related to the fingerprint image quality. If the number of acquired fingerprint image quality that meets the preset requirements is less than the first preset threshold, or the success rate of fingerprint recognition is less than When the second preset threshold is reached, or the number of fingerprint images whose quality meets the preset requirements is less than the first preset threshold, and the fingerprint recognition success rate is less than the second preset threshold, the fingerprint status scene within the target period is determined to be abnormal fingerprint recognition. Scenario, that is, it is determined that the end user's fingerprint status is in a state that is difficult to identify during the target period. When the time when fingerprint recognition is performed falls within the target period, the fingerprint recognition scene is determined to be an abnormal fingerprint recognition scene.

Second type: If the target user’s fingerprint image quality meets the preset requirements within the first preset time period, the number is less than the first preset threshold, and/or, the target user’s fingerprint recognition success rate within the second preset time period is less than the second A preset threshold is used to determine the scene of the target user's fingerprint recognition input as an abnormal fingerprint recognition scene.

The second case is for users whose fingerprints are difficult to identify. If the target user's fingerprint image quality meets the preset requirements within the first preset time period, the number is less than the first preset threshold, or the fingerprint recognition success rate is less than the second preset threshold within the second preset time period, or the fingerprint recognition success rate is less than the second preset threshold within the first preset time period, or the target user's fingerprint image quality meets the preset requirements within the first preset time period. If the number of fingerprint image quality that meets the preset requirements within the time period is less than the first preset threshold, and the fingerprint recognition success rate within the second preset time period is less than the second preset threshold, it means that the user's fingerprint characteristics are special and difficult to identify. , so when the target user needs to perform fingerprint identification, it is determined to be an abnormal fingerprint identification scenario.

It should be noted that the above two situations can be used alone or at the same time. It can be based on whether the fingerprint recognition time belongs to the target period, or whether the fingerprint recognition user is the target user, or the abnormal fingerprint recognition scene can be determined based on both the fingerprint recognition time and the fingerprint recognition user.

In an exemplary embodiment, the fingerprint identification method further includes: in response to the time of the fingerprint identification input belonging to a preset period, determining that the fingerprint identification scene is an abnormal fingerprint identification scene; and/or in response to the user inputting the fingerprint identification is Default user determines that the scene to which the fingerprint recognition input belongs is an abnormal fingerprint recognition scene.

Users can set abnormal fingerprint recognition scenarios in the terminal, such as setting a preset time period or setting a preset user or setting a preset time period and a preset user at the same time. When the time of fingerprint recognition input is within the preset period, or when the user who inputs fingerprint recognition is the preset user, or when the preset user performs fingerprint recognition input within the preset period, it is determined to be an abnormal fingerprint recognition scenario.

For example, facial recognition can be performed by calling a camera facing the area where the user's face is located, that is, facial recognition can be performed based on the collected facial image and the pre-stored default user facial image to determine whether the current user (the user input by fingerprint recognition) is the default user. User; if the collected facial image matches the preset user facial image, the user is the default user; if the collected facial image does not match the preset user facial image, the user is not the default user. For example, the current user (user input through fingerprint recognition) can be determined by obtaining the identity information of the user currently logged in to the electronic device (such as the ID information of the login account of the electronic device), and then matching the user identity information with the pre-stored default user identity information. ) is a default user; if the identity information of the currently logged-in user of the electronic device matches the identity information of the default user, it is a default user; otherwise, it is not a default user. For example, the user identity can also be confirmed through iris recognition, etc., to determine whether it is a default user.

In an exemplary embodiment of the present disclosure, a fingerprint identification device is provided. As shown in Figure 3, the identification device includes:

The receiving module 301 is configured to receive fingerprint recognition input;

The first recognition module 302 is configured to perform a fingerprint recognition operation corresponding to the fingerprint status recognition scenario according to the fingerprint status recognition scenario to which the fingerprint recognition input belongs.

In an exemplary embodiment, the first identification module 302 is further configured to:

or,

In an exemplary embodiment, it also includes:

The second identification module 303 is configured to perform a fingerprint identification process based on the second fingerprint image data obtained by the second exposure process in response to a fingerprint identification failure of the first fingerprint image data.

In an exemplary embodiment, it also includes:

The first determination module 304 is configured to: if the number of fingerprint image quality acquired within the target period that meets the preset requirements is less than the first preset threshold, and/or the recognition success rate within the target period is less than the second preset threshold, The fingerprint status scene within the above target period is determined to be an abnormal fingerprint recognition scene;

and / or,

The first determination module 304 is configured to perform fingerprint recognition if the number of target users whose fingerprint image quality meets the preset requirements within the first preset time period is less than the first preset threshold, and/or if the target user performs fingerprint recognition within the second preset time period. If the success rate is less than the second preset threshold, the scene of the target user's fingerprint recognition input is determined to be an abnormal fingerprint recognition scene.

The second determination module 305 is configured to determine that the fingerprint recognition scene is an abnormal fingerprint recognition scene in response to the time of the fingerprint recognition input belonging to a preset period;

and / or,

The second determination module 305 is configured to determine that the user responding to the fingerprint recognition input is the default user and determines that the scene to which the fingerprint recognition input belongs is an abnormal fingerprint recognition scene.

Regarding the devices in the above embodiments, the specific manner in which each module performs operations has been described in detail in the embodiments related to the method, and will not be described in detail here.

When the electronic device is a terminal, FIG. 4 is a block diagram of a device 400 for fingerprint identification according to an exemplary embodiment.

Referring to Figure 4, device 400 may include one or more of the following components: a processing component 402, a memory 404, a power supply component 406, a multimedia component 408, an audio component 410, an input/output (I/O) interface 412, a sensor component 414, and communications component 416.

Processing component 402 generally controls the overall operations of device 400, such as operations associated with display, phone calls, data communications, camera operations, and recording operations. The processing component 402 may include one or more processors 420 to execute instructions to complete all or part of the steps of the above method. Additionally, processing component 402 may include one or more modules that facilitate interaction between processing component 402 and other components. For example, processing component 402 may include a multimedia module to facilitate interaction between multimedia component 408 and processing component 402.

Memory 404 is configured to store various types of data to support operations at device 400 . Examples of such data include instructions for any application or method operating on device 400, contact data, phonebook data, messages, pictures, videos, etc. Memory 404 may be implemented by any type of volatile or non-volatile storage device, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EEPROM), Programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk.

Power supply component 406 provides power to various components of device 400. Power supply components 406 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to device 400 .

Multimedia component 408 includes a screen that provides an output interface between the device 400 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide action. In some embodiments, multimedia component 408 includes a front-facing camera and/or a rear-facing camera. When the device 400 is in an operating mode, such as a shooting mode or a video mode, the front camera and/or the rear camera may receive external multimedia data. Each front-facing camera and rear-facing camera can be a fixed optical lens system or have a focal length and optical zoom capabilities.

Audio component 410 is configured to output and/or input audio signals. For example, audio component 410 includes a microphone (MIC) configured to receive external audio signals when device 400 is in operating modes, such as call mode, recording mode, and speech recognition mode. The received audio signals may be further stored in memory 404 or sent via communications component 416. In some embodiments, audio component 410 also includes a speaker for outputting audio signals.

The I/O interface 412 provides an interface between the processing component 402 and a peripheral interface module, which may be a keyboard, a click wheel, a button, etc. These buttons may include, but are not limited to: Home button, Volume buttons, Start button, and Lock button.

Sensor component 414 includes one or more sensors that provide various aspects of status assessment for device 400 . For example, the sensor component 414 can detect the open/closed state of the device 400, the relative positioning of components, such as the display and keypad of the device 400, and the sensor component 414 can also detect a change in position of the device 400 or a component of the device 400. , the presence or absence of user contact with device 400 , device 400 orientation or acceleration/deceleration and temperature changes of device 400 . Sensor assembly 414 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. Sensor assembly 414 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor component 414 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

Communication component 416 is configured to facilitate wired or wireless communications between device 400 and other devices. Device 400 can access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In one exemplary embodiment, the communication component 416 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, the communications component 416 also includes a near field communications (NFC) module to facilitate short-range communications. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.

In an exemplary embodiment, device 400 may be configured by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable Gate array (FPGA), controller, microcontroller, microprocessor or other electronic components are implemented for executing the above method.

In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions, such as a memory 404 including instructions, which are executable by the processor 420 of the device 400 to complete the above method is also provided. For example, the non-transitory computer-readable storage medium may be ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, etc.

A non-transitory computer-readable storage medium that, when instructions in the storage medium are executed by a processor of a device, enables the device to perform a fingerprint identification method, and the method includes any of the above methods.

Other embodiments of the disclosure will be readily apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure that follow the general principles of the disclosure and include common knowledge or customary technical means in the technical field that are not disclosed in the disclosure. . It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

It is to be understood that the present disclosure is not limited to the precise structures described above and illustrated in the accompanying drawings, and various modifications and changes may be made without departing from the scope thereof. The scope of the disclosure is limited only by the appended claims.

Industrial applicability

In this article, corresponding fingerprint recognition operations are performed for different fingerprint status scenarios to shorten the overall time of fingerprint recognition and improve the success rate of fingerprint recognition.

Claims

A fingerprint identification method, characterized in that the identification method includes:

Receive fingerprint recognition input;

According to the fingerprint status scene to which the fingerprint recognition input belongs, a fingerprint recognition operation corresponding to the fingerprint status scene is performed.
The fingerprint identification method according to claim 1, characterized in that, according to the fingerprint status scene to which the fingerprint identification input belongs, performing a fingerprint identification operation corresponding to the fingerprint status scene includes:

In response to the fingerprint status scene of the fingerprint recognition input being an abnormal fingerprint recognition scene, the first fingerprint image data is obtained based on the first exposure process;

A fingerprint recognition process is performed based on the first fingerprint image data, and a second exposure process is performed within a preset time period after the first exposure process.
The fingerprint identification method according to claim 2, wherein performing the second exposure process within a preset time period after the first exposure process includes:

During the fingerprint recognition process based on the first fingerprint image data, the second exposure process is performed.
The fingerprint identification method according to claim 3, wherein the fingerprint identification process based on the first fingerprint image data includes:

Perform fingerprint recognition processing based on the first characteristic data of the first fingerprint image data to complete the fingerprint recognition processing of the first fingerprint image data;

or,

Perform fingerprint recognition processing based on the first feature data of the first fingerprint image data;

After the first feature data recognition of the first fingerprint image data fails, fingerprint recognition processing is performed based on the second feature data of the first fingerprint image data to complete the fingerprint recognition processing of the first fingerprint image data; the third The feature data content of the second feature data is more than the feature data content of the first feature data.
The fingerprint identification method according to claim 4, characterized in that, during the fingerprint identification process based on the first fingerprint image data, performing the second exposure process includes:

The second exposure process is performed while starting the fingerprint recognition process based on the first feature data of the first fingerprint image data.
The fingerprint identification method according to claim 2, wherein the second exposure process is performed within a preset time period after the first exposure process, including:

After the first feature data of the first fingerprint image data fails to be recognized, the second exposure process is performed.
The fingerprint identification method according to claim 6, wherein the fingerprint identification process based on the first fingerprint image data includes:

A fingerprint recognition process is performed based on the first characteristic data of the first fingerprint image data to complete the fingerprint recognition process of the first fingerprint image data.
The fingerprint identification method according to claims 2-7, further comprising:

In response to the fingerprint recognition failure of the first fingerprint image data, a fingerprint recognition process is performed based on the second fingerprint image data obtained by the second exposure process.
The fingerprint identification method according to claim 1, further comprising:

If the number of fingerprint image quality acquired within the target period that meets the preset requirements is less than the first preset threshold, and/or the recognition success rate within the target period is less than the second preset threshold, determine the fingerprint status scene within the target period. For abnormal fingerprint recognition scenarios;

and / or,

If the target user's fingerprint image quality meeting the preset requirements within the first preset time period is less than the first preset threshold, and/or the target user's fingerprint recognition success rate within the second preset time period is less than the second preset threshold, The scene of fingerprint recognition input by the target user is determined as an abnormal fingerprint recognition scene.
The fingerprint identification method according to any one of claims 2 to 8, characterized in that the fingerprint identification method further includes:

In response to the time of the fingerprint recognition input falling within a preset period, it is determined that the fingerprint recognition scene is an abnormal fingerprint recognition scene;

and / or,

The user who responded to the fingerprint recognition input is the default user, and the scene to which the fingerprint recognition input belongs is determined to be an abnormal fingerprint recognition scene.
A fingerprint identification device, characterized in that the identification device includes:

a receiving module configured to receive fingerprint recognition input;

The recognition module is configured to perform a fingerprint recognition operation corresponding to the fingerprint status recognition scenario according to the fingerprint status recognition scenario to which the fingerprint recognition input belongs.
An electronic device, characterized by including:

processor;

Memory used to store instructions executable by the processor;

Wherein, the processor is configured to perform the method according to any one of claims 1-10.
A non-transitory computer-readable storage medium that, when instructions in the storage medium are executed by a processor of the device, enables the device to perform the method according to any one of claims 1-10.