WO2023240608A1 - 一种屏下指纹识别方法、装置、终端及存储介质 - Google Patents

一种屏下指纹识别方法、装置、终端及存储介质 Download PDF

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Publication number
WO2023240608A1
WO2023240608A1 PCT/CN2022/099500 CN2022099500W WO2023240608A1 WO 2023240608 A1 WO2023240608 A1 WO 2023240608A1 CN 2022099500 W CN2022099500 W CN 2022099500W WO 2023240608 A1 WO2023240608 A1 WO 2023240608A1
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Prior art keywords
fingerprint
fingerprint image
under
screen
recognition
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PCT/CN2022/099500
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English (en)
French (fr)
Inventor
王刚
王愈
Original Assignee
北京小米移动软件有限公司
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Application filed by 北京小米移动软件有限公司 filed Critical 北京小米移动软件有限公司
Priority to PCT/CN2022/099500 priority Critical patent/WO2023240608A1/zh
Priority to CN202280004408.9A priority patent/CN117616476A/zh
Publication of WO2023240608A1 publication Critical patent/WO2023240608A1/zh

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  • the present disclosure relates to the field of terminals, and in particular, to an under-screen fingerprint identification method, device, terminal and storage medium.
  • under-screen optical fingerprint recognition is affected by the principle. It requires continuous exposure for a fixed period of time after the light spot lights up to obtain the fingerprint image, and then performs operations such as transmitting, processing, and identifying the fingerprint image. The fingerprint recognition takes a longer time and the experience is longer. Difference.
  • the present disclosure provides an under-screen fingerprint identification method, device, terminal and storage medium.
  • an under-screen fingerprint identification method is provided and applied to a terminal, wherein the under-screen fingerprint identification method includes:
  • the off-screen fingerprint recognition operation is detected, and the exposure is continued for the first duration; where the first duration is less than the target exposure duration;
  • a fingerprint recognition process corresponding to the quality level is performed.
  • a fingerprint recognition process corresponding to the quality level is performed, including:
  • the recognition result of the under-screen fingerprint is successful, and the corresponding application is executed based on the recognition result of the under-screen fingerprint.
  • Under-screen fingerprint recognition methods include:
  • the exposure is continued for a second length of time
  • the fingerprint identification method After identifying the first fingerprint image, the fingerprint identification method includes:
  • the recognition result of the under-screen fingerprint is determined based on the second fingerprint image; wherein the second fingerprint image is determined based on the fingerprint data collected during the second time period.
  • the under-screen fingerprint recognition method includes:
  • the fingerprint data collected for the second period of time are transmitted, and the second fingerprint image is determined based on the fingerprint data collected for the second period of time.
  • the under-screen fingerprint recognition methods include:
  • a fingerprint recognition process corresponding to the quality level is performed, including:
  • the quality level of the first fingerprint image is not the first level, then determine the quality level of the third fingerprint image; wherein the third fingerprint image is determined based on the fingerprint data collected during the first time period and the fingerprint data collected during the third time period;
  • a fingerprint recognition process corresponding to the quality level is performed.
  • the under-screen fingerprint recognition method includes:
  • the fingerprint data collected in the third period of time are transmitted, and the third fingerprint image is determined based on the fingerprint data collected in the first period of time and the fingerprint data collected in the third period of time.
  • a fingerprint recognition process corresponding to the quality level is performed, including:
  • the third fingerprint image is identified; wherein the quality of the fingerprint corresponding to the second level is smaller than the quality of the fingerprint corresponding to the first level;
  • the recognition result of the under-screen fingerprint is determined to be successful.
  • Under-screen fingerprint recognition methods include:
  • the exposure is continued for a fourth length of time
  • the under-screen fingerprint identification method includes:
  • the recognition result of the under-screen fingerprint is determined based on the fourth fingerprint image; wherein the fourth fingerprint image is determined based on the fingerprint data collected during the fourth time period.
  • the under-screen fingerprint recognition method includes:
  • the fingerprint data collected in the fourth period of time are transmitted, and the fourth fingerprint image is determined based on the fingerprint data collected in the fourth period of time.
  • the under-screen fingerprint recognition methods include:
  • a fingerprint recognition process corresponding to the quality level is performed, including:
  • the recognition result of the under-screen fingerprint is determined based on the fifth fingerprint image; where the fingerprint quality corresponding to the third level is smaller than the fingerprint quality corresponding to the second level, and the fifth fingerprint image Determined based on the fingerprint data collected in the first period of time, the fingerprint data collected in the third period of time and the fingerprint data collected in the fifth period of time.
  • the under-screen fingerprint recognition method includes:
  • the fingerprint data collected in the fifth time period is transmitted, and the fifth fingerprint image is determined based on the fingerprint data collected in the first time period, the fingerprint data collected in the third time period, and the fingerprint data collected in the fifth time period.
  • an under-screen fingerprint recognition device applied to a terminal, wherein the under-screen fingerprint recognition device includes:
  • the exposure module is configured to detect an off-screen fingerprint recognition operation and continue to expose for a first duration; wherein the first duration is less than the target exposure duration;
  • the judgment module is configured to judge the quality level of the first fingerprint image; wherein the first fingerprint image is determined based on the fingerprint data collected for the first time period;
  • the identification module is configured to, according to the quality level of the first fingerprint image, perform a fingerprint identification process corresponding to the quality level.
  • the identification module is configured as:
  • the recognition result of the under-screen fingerprint is successful, and the corresponding application is executed based on the recognition result of the under-screen fingerprint.
  • the exposure module is configured to continue exposing the first fingerprint image for a second duration during the process of identifying the first fingerprint image
  • the identification module is configured to, after identifying the first fingerprint image, if the identification of the first fingerprint image fails, determine the identification result of the under-screen fingerprint based on the second fingerprint image; wherein the second fingerprint image is based on the fingerprint collected for the second time period. Fingerprint data confirmed.
  • the under-screen fingerprint recognition device includes a transmission module and a determination module
  • the transmission module is configured to, after failing to recognize the first fingerprint image, transmit the fingerprint data collected for the second period of time;
  • the determining module is configured to determine the second fingerprint image based on the fingerprint data collected for the second period of time.
  • the exposure module is configured to continue the exposure for a third duration after the first duration of exposure
  • the judgment module is configured to, if it is determined that the quality level of the first fingerprint image is not the first level, then judge the quality level of the third fingerprint image; wherein the third fingerprint image is based on the fingerprint data collected in the first time period and the fingerprint data collected in the third time period. The fingerprint data is determined;
  • the identification module is configured to, according to the quality level of the third fingerprint image, perform a fingerprint identification process corresponding to the quality level.
  • the under-screen fingerprint recognition device includes a transmission module and a determination module
  • the transmission module is configured to, after determining that the quality level of the first fingerprint image is not the first level, transmit the fingerprint data collected for the third period of time;
  • the determining module is configured to determine the third fingerprint image based on the fingerprint data collected during the first time period and the fingerprint data collected during the third time period.
  • the identification module is configured as:
  • the third fingerprint image is identified; wherein the quality of the fingerprint corresponding to the second level is smaller than the quality of the fingerprint corresponding to the first level;
  • the recognition result of the under-screen fingerprint is determined to be successful.
  • the exposure module is configured to continue exposing for a fourth duration during the process of identifying the third fingerprint image
  • the recognition module is configured to, if the recognition of the third fingerprint image fails, determine the recognition result of the under-screen fingerprint based on the fourth fingerprint image; wherein the fourth fingerprint image is determined based on the fingerprint data collected during the fourth time period.
  • the under-screen fingerprint recognition device includes a transmission module and a determination module
  • the transmission module is configured to transmit the fingerprint data collected for the fourth period of time after the third fingerprint image recognition fails;
  • the determining module is configured to determine a fourth fingerprint image based on the fingerprint data collected for a fourth period of time.
  • the exposure module is configured to continue the exposure for a fifth duration after the third duration of exposure
  • the identification module is configured to, if it is determined that the quality level of the third fingerprint image is the third level, determine the recognition result of the under-screen fingerprint based on the fifth fingerprint image; wherein the quality of the fingerprint corresponding to the third level is smaller than that of the fingerprint corresponding to the second level. Quality, the fifth fingerprint image is determined based on the fingerprint data collected in the first period, the fingerprint data collected in the third period, and the fingerprint data collected in the fifth period.
  • the under-screen fingerprint recognition device includes a transmission module and a determination module
  • the transmission module is configured to, after determining that the quality level of the third fingerprint image is the third level, transmit the fingerprint data collected for the fifth time period;
  • the determination module is configured to determine the fifth fingerprint image based on the fingerprint data collected during the first time period, the fingerprint data collected during the third time period, and the fingerprint data collected during the fifth time period.
  • a terminal wherein the terminal includes:
  • Memory used to store instructions executable by the processor
  • the processor is configured to execute the under-screen fingerprint recognition method as in the first aspect.
  • a non-transitory computer-readable storage medium wherein when instructions in the storage medium are executed by a processor of a terminal, the terminal is enabled to perform under-screen fingerprinting as in the first aspect recognition methods.
  • the technical solutions provided by embodiments of the present disclosure may include the following beneficial effects:
  • a first duration of exposure is first performed, and the corresponding quality is performed based on the quality level of the first fingerprint image obtained for the first duration.
  • a high-level fingerprint recognition process is used to determine the recognition results of the fingerprint under the screen, improve the entire fingerprint recognition process, and enhance the user experience. In particular, it can greatly improve the fingerprint recognition experience of fingerprint images with better fingerprint quality.
  • FIG. 1 is a flow chart of an under-screen fingerprint recognition method according to an exemplary embodiment.
  • FIG. 2 is a schematic diagram of an under-screen fingerprint recognition method according to an exemplary embodiment.
  • Figure 3 is a block diagram of an under-screen fingerprint recognition device according to an exemplary embodiment.
  • Figure 4 is a block diagram of a terminal according to an exemplary embodiment.
  • Retry0 and Retry1 Two fingerprint identification processes are generally set up, which are recorded as Retry0 and Retry1 respectively.
  • both Retry0 and Retry1 require exposure to collect fingerprint data, fingerprint data transmission and processing, fingerprint image recognition, etc.
  • Retry1 will only be entered after Retry0 ends, resulting in a time-consuming longer.
  • the fingerprint quality of fingerprint images is not distinguished, and the above-mentioned serial fingerprint identification process is adopted.
  • the duration required for exposure and collection of fingerprint data is the same. This duration is generally longer and can be recorded as the target exposure duration T′ 1 . This duration is used for collecting fingerprint data.
  • the time required for the transmission and processing of fingerprint data can generally be recorded as the target processing time T′ 2 , which is used to transmit and process the fingerprint data to obtain the fingerprint image.
  • the time required for fingerprint image recognition can generally be recorded as the target recognition time T′ 3 , which is used to recognize fingerprint images.
  • Embodiments of the present disclosure provide an under-screen fingerprint identification method, which is applied to terminals.
  • the first exposure time is first exposed, and based on the quality level of the first fingerprint image obtained for the first time period, a fingerprint recognition process corresponding to the quality level is performed to determine the recognition result of the under-screen fingerprint, improve the entire fingerprint recognition process, and enhance the user experience.
  • the user experience can especially greatly improve the fingerprint recognition experience of fingerprint images with better fingerprint quality.
  • an under-screen fingerprint recognition method is provided and applied to a terminal.
  • the method may include:
  • the off-screen fingerprint recognition operation is detected, and the exposure is continued for a first duration; wherein the first duration is less than the target exposure duration;
  • the terminal may include an optical fingerprint sensor.
  • the terminal detects the fingerprint recognition operation under the screen, it can light up the light spot, allowing the terminal to continue to be exposed for the first time.
  • the terminal can collect fingerprint data through the optical fingerprint sensor, and this fingerprint data can be recorded as the first fingerprint data.
  • the terminal collects the first fingerprint data, transmits the first fingerprint data, and then determines the first fingerprint image based on the first fingerprint data.
  • the first duration can be recorded as T 1 .
  • the first duration T 1 can be smaller than the target exposure duration T′ 1 , and the specific value can be set according to the actual situation, and there is no limit to this.
  • the target exposure time refers to the exposure time of each fingerprint recognition process in related technologies.
  • the first duration T 1 may be T′ 1 /2.
  • step S120 after the terminal determines the first fingerprint image, it can determine the quality level of the first fingerprint image.
  • the first fingerprint quality value of the first fingerprint image may be determined first, and then the quality level of the first fingerprint image may be determined based on the first fingerprint quality value.
  • the first fingerprint quality value may be used to characterize the overall valley and ridge clarity of the first fingerprint image. It should be noted that the higher the quality value of the first fingerprint, the higher the accuracy of subsequent fingerprint recognition.
  • At least two quality levels can be set, and a corresponding fingerprint quality threshold can be set for each quality level.
  • the fingerprint quality threshold to which the first fingerprint quality value belongs can be determined as the target threshold. Then the quality level corresponding to the target threshold is determined as the quality level corresponding to the first fingerprint image.
  • the fingerprint quality threshold may be set before the terminal leaves the factory, or may be set after the terminal leaves the factory, and there is no limit to this. Moreover, after the fingerprint quality threshold is set, it can be modified later to better meet the different needs of users. In addition, the specific range of the fingerprint quality threshold is not limited and can be set according to actual conditions.
  • fingerprint image recognition generally also includes fingerprint matching recognition and anti-counterfeiting recognition.
  • Matching recognition refers to comparing the collected fingerprint image with the preset fingerprint image.
  • Anti-counterfeiting identification refers to determining whether the collected fingerprint image is a genuine fingerprint image.
  • matching identification and anti-counterfeiting identification are generally performed in series and require a long time, which is generally recorded as the conventional identification time T′ 3 .
  • DSP digital signal processing
  • the time required for fingerprint recognition in this disclosure can be recorded as the fingerprint recognition time T 3 .
  • the fingerprint recognition time T 3 may be shorter than the target recognition time T′ 3 .
  • the difference between the fingerprint recognition time T 3 and the target recognition time T′ 3 is the time optimized by DSP technology, and this time can be recorded as the recognition optimization time T 4 .
  • first fingerprint images of different quality levels may correspond to different fingerprint recognition processes. After the quality level corresponding to the first fingerprint image is determined, the fingerprint recognition process corresponding to the quality level can be performed.
  • the quality level of the first fingerprint image is the quality level corresponding to a good fingerprint
  • the fingerprint data collected this time can be considered to be a good fingerprint
  • fingerprint recognition can be directly performed on the first fingerprint image. If the recognition is successful, the corresponding function can be executed.
  • the corresponding function can be unlocking, logging in or paying, etc., and there is no limit to this.
  • the first fingerprint image can be matched with the set fingerprint image to determine the fingerprint recognition result. For example, if the first fingerprint image successfully matches the set fingerprint image, it can be determined that the fingerprint is a different one and the recognition is successful.
  • the quality level of fingerprint images is introduced.
  • the recognition process improves the user experience, especially the fingerprint recognition experience of fingerprint images with better fingerprint quality.
  • an under-screen fingerprint recognition method is provided and applied to a terminal.
  • executing a fingerprint recognition process corresponding to the quality level may include:
  • the first level indicates that the fingerprint quality value of the first fingerprint image is higher.
  • the first level indicates that the fingerprint corresponding to the first fingerprint image is a good fingerprint, which is more convenient for fingerprint identification.
  • the first fingerprint quality value of the first fingerprint image may be determined first, and then the quality level of the first fingerprint image may be determined based on the first fingerprint quality value.
  • the first fingerprint quality value may be used to characterize the overall valley and ridge clarity of the first fingerprint image. It should be noted that the higher the quality value of the first fingerprint, the higher the accuracy of subsequent fingerprint recognition.
  • the present disclosure can detect the image spine area based on image contrast, or binarize the image, or rely on the number of image samples to implement fingerprint quality assessment of the fingerprint image and determine the fingerprint quality value.
  • the fingerprint quality value can also be determined by other methods, which is not limited. Among them, the fingerprint quality value can generally be divided into 100 values from 1 to 100. The larger the value, the better the fingerprint quality.
  • the terminal may preset a first fingerprint quality threshold, and the quality level corresponding to the first fingerprint quality threshold may be the first level.
  • the first fingerprint quality threshold may be greater than or equal to the fingerprint quality value 800. If it is determined that the fingerprint quality value of the first fingerprint image is greater than or equal to 800, it means that the fingerprint quality value of the first fingerprint image belongs to the first fingerprint quality threshold, and the quality level corresponding to the first fingerprint image can be determined to be the first level.
  • the first fingerprint image can be identified.
  • step S220 if it is determined that the recognition of the first fingerprint image is successful, it can be directly determined that the recognition result of the under-screen fingerprint is successful. Then, the terminal can execute corresponding applications such as unlocking, logging in or paying.
  • the mobile phone When the user unlocks the mobile phone, after the mobile phone detects the fingerprint recognition operation under the screen, it can light up the light spot and continue to expose it for a first period of time T 1 so that the optical fingerprint sensor of the mobile phone collects fingerprint data.
  • the optical fingerprint sensor After the optical fingerprint sensor collects the fingerprint data, it can transmit it to the processor of the mobile phone, and the processor of the mobile phone can determine the first fingerprint image based on the fingerprint data. From the time the optical fingerprint sensor collects the fingerprint data to the processor determining the first fingerprint image, this period of time is used to transmit and process the fingerprint data to determine the first fingerprint image. The required time can be recorded as the information processing time T 2 , where The information processing duration T 2 may be the same as the target processing duration T′ 2 .
  • the processor determines the first fingerprint image, it can determine the quality level of the first fingerprint image. If it is determined that the quality level of the first fingerprint image is the first level, fingerprint recognition can be performed on the first fingerprint image based on DSP technology. If the fingerprint recognition is confirmed to be successful, the phone can be unlocked. The time required for fingerprint recognition can be recorded as the fingerprint recognition time T 3 .
  • the time required for the entire fingerprint identification process is T 1 +T 2 +T 3 , which is the fastest process time for good fingerprints.
  • the first duration T 1 may be equal to 1/2 of the target exposure duration T′ 1
  • the fingerprint recognition duration T 3 may be equal to the target recognition duration T′ 3 minus the optimized duration T 4 of the DSP technology. That is, the fastest process time required for good fingerprints in this implementation method can be shortened compared with the fastest process time required for good fingerprints in related technologies.
  • a fingerprint recognition process corresponding to the quality level is performed according to the quality level of the first fingerprint image.
  • the quality level of the first fingerprint image is the first level
  • the first fingerprint image can be directly identified, and if the identification is successful, the corresponding application can be executed.
  • This method can improve the entire fingerprint recognition process and enhance the user experience. In particular, it can greatly improve the fingerprint recognition experience of good fingerprints.
  • an under-screen fingerprint recognition method is provided and applied to a terminal. Referring to FIG. 2 , in this method, during the process of identifying the first fingerprint image, the exposure can be continued for a second length of time.
  • the light spot can be lit and exposed for a second period of time, thereby collecting fingerprint data corresponding to the second period of time.
  • This fingerprint data can be recorded as Second fingerprint data.
  • the method may include:
  • the second duration may be equal to the fingerprint recognition duration T 3 required for the recognition process of the first fingerprint image. That is, when the recognition result of the first fingerprint image is determined, the fingerprint data collection of the second duration can be completed.
  • the fingerprint data collected for the second period of time can be transmitted, and the second fingerprint image can be determined based on the fingerprint data collected for the second period of time, and then the second fingerprint image can be processed Recognition to determine the recognition result of the fingerprint under the screen.
  • the second fingerprint image is successfully recognized, corresponding functions such as unlocking, payment or login can be performed. If the second fingerprint image recognition fails, it can be determined that the recognition result of the under-screen fingerprint is failed, and the terminal will be unable to perform corresponding functions such as unlocking, payment, or login.
  • the first duration is recorded as T 1 .
  • the first duration T 1 can be equal to 1/2 of the target exposure duration T′ 1 .
  • the first duration T 1 is used to collect the first fingerprint data, and the first fingerprint data is used to determine the first fingerprint image.
  • the information processing duration is denoted as T 2 , and this information processing duration T 2 can be the same as the conventional processing duration T′ 2 .
  • the fingerprint recognition time can be recorded as T 3 , and the fingerprint recognition time T 3 can be equal to the target recognition time T′ 3 minus the optimization time T 4 of the DSP technology.
  • the second duration may be equal to the fingerprint identification duration T 3 , the second duration is used to collect the second fingerprint data, and the second fingerprint data is used to determine the second fingerprint image.
  • the quality level of the first fingerprint image is the first level, it means that the first fingerprint image corresponds to a good fingerprint.
  • the final recognition result of the off-screen fingerprint can be determined based on the second fingerprint image, where the fingerprint recognition duration of the second fingerprint image can also be equal to T 3 . That is, in this implementation, the longest process duration for a good fingerprint is T 1 +T 2 +T 3 +T 2 +T 3 , while in the related art, the longest process duration for a good fingerprint is 2(T′ 1 +T′ 2 +T′ 3 ), that is, the longest process time for good fingerprints in this implementation can be shortened than the time required by related technologies.
  • a fingerprint recognition process corresponding to the quality level is performed according to the quality level of the first fingerprint image.
  • a second duration of exposure can be performed at the same time, so that during the recognition process of the first fingerprint image, the fingerprint data of the second duration can be simultaneously collected to update the quality level of the first fingerprint image.
  • the recognition result of the under-screen fingerprint is determined based on the second fingerprint image.
  • an under-screen fingerprint recognition method is provided and applied to a terminal. Referring to FIG. 2 , in this method, after the exposure is continued for a first duration, the exposure may be continued for a third duration.
  • executing a fingerprint recognition process corresponding to the quality level may include:
  • the quality level of the first fingerprint image is not the first level, determine the quality level of the third fingerprint image; wherein the third fingerprint image is determined based on the fingerprint data collected during the first time period and the fingerprint data collected during the third time period. ;
  • step S410 after it is determined that the quality level of the first fingerprint image is not the first level, the fingerprint data collected in the third time period can be transmitted, and the fingerprint data collected in the third time period and the fingerprint data collected in the first time period can be transmitted. data, determine the third fingerprint image, and then determine the quality level of the third fingerprint image. For determining the quality level of the third fingerprint image, reference may be made to the method for determining the quality level of the first fingerprint image, which will not be described again.
  • step S420 third fingerprint images of different quality levels may correspond to different fingerprint recognition processes. After the quality level corresponding to the third fingerprint image is determined, the fingerprint recognition process corresponding to the quality level can be performed.
  • the quality level of the third fingerprint image is the quality level corresponding to a poor fingerprint
  • the fingerprint data collected this time can be considered to be a poor fingerprint
  • fingerprint recognition can be directly performed on the third fingerprint image. If the recognition is successful, the corresponding function can be executed.
  • the corresponding function can be unlocking, logging in or paying, etc., and there is no limit to this.
  • the identification method of the third fingerprint image may refer to the identification method of the first fingerprint image, which will not be described again.
  • the quality level of the third fingerprint image can be determined, and then a fingerprint recognition process corresponding to the quality level is performed based on the quality level of the third fingerprint image. To determine the fingerprint recognition results under the screen.
  • This method can further improve the entire fingerprint identification process and enhance the user experience.
  • an under-screen fingerprint recognition method is provided and applied to a terminal.
  • a fingerprint recognition process corresponding to the quality level is performed, which may include:
  • the fingerprint quality corresponding to the second level is smaller than the fingerprint quality corresponding to the first level.
  • the first level corresponds to the fingerprint quality of good fingerprints
  • the second level corresponds to the fingerprint quality of poor fingerprints.
  • the method for determining the quality level of the third fingerprint image may refer to the method for determining the quality level of the first fingerprint image, which will not be described again.
  • the identification method for the third fingerprint image may be referred to the identification method for the first fingerprint image, which will not be described again.
  • step S520 if it is determined that the third fingerprint image recognition is successful, it can be directly determined that the recognition result of the under-screen fingerprint is successful.
  • the terminal can then perform corresponding functions such as unlocking, logging in or paying.
  • the mobile phone When the user unlocks the mobile phone, after the mobile phone detects the fingerprint recognition operation under the screen, it can light up the light spot and continue to expose it for a first time period T 1 , so that the optical fingerprint sensor of the mobile phone collects the first fingerprint data. Moreover, after the first period of continuous exposure, the exposure can be continued for a third period of time, so that the optical fingerprint sensor of the mobile phone collects the third fingerprint data.
  • the optical fingerprint sensor collects the first fingerprint data
  • it can be transmitted to the processor of the mobile phone, and the processor of the mobile phone can determine the first fingerprint image based on the above fingerprint data. From the completion of the first fingerprint data collection to the determination of the first fingerprint image by the processor, this period of time can be recorded as the information processing time T 2 , and this information processing time T 2 can be the same as the target processing time T′ 2 . It should be noted that the third duration may be equal to the information processing duration T 2 .
  • the processor After the processor determines the first fingerprint image, it can determine the quality level of the first fingerprint image. If it is determined that the quality level of the first fingerprint image is not the first level, the optical fingerprint sensor can transmit the third fingerprint data to the processor. At this point, the processor has obtained the first fingerprint data and the third fingerprint data, and then determines the third fingerprint image based on the third fingerprint data and the first fingerprint data.
  • the time period from the completion of the collection of the third fingerprint data to the determination of the third fingerprint image by the processor may be the same as the above information processing time period T 2 .
  • the processor determines the third fingerprint image, it can determine the quality level of the third fingerprint image. If it is determined that the quality level of the third fingerprint image is the second level, it can be explained that the fingerprint used for fingerprint identification this time is a poor fingerprint. Fingerprint recognition can be performed on the third fingerprint image based on DSP technology. If the fingerprint recognition is confirmed to be successful, the phone can be unlocked. The time required for fingerprint recognition can be recorded as the fingerprint recognition time T 3 .
  • the time required for the entire fingerprint identification process is T 1 +T 2 +T 2 +T 3 , which is the fastest process time for differential fingerprints.
  • the first duration T 1 may be equal to 1/2 of the target exposure duration T′ 1
  • the fingerprint recognition duration T 3 may be equal to the target recognition duration T′ 3 minus the optimized duration T 4 of the DSP technology. That is, the fastest process time required for poor fingerprints in this implementation can be shortened compared to the fastest process time required for poor fingerprints in related technologies.
  • the target exposure duration T′ 1 and the optimization duration T 4 are generally much longer than the conventional processing duration T′ 2 . That is, compared to related technologies, the method of the present disclosure still requires shorter time for the overall identification process of poor fingerprints.
  • the entire fingerprint recognition process can be further improved and the user experience can be further improved.
  • the fingerprint recognition experience of poor fingerprints can be further improved.
  • an under-screen fingerprint recognition method is provided and applied to a terminal. Referring to FIG. 2 , in this method, during the process of identifying the third fingerprint image, the exposure is continued for a fourth duration.
  • the light spot can be lit and exposed for a fourth duration to collect fingerprint data corresponding to the fourth duration.
  • This fingerprint data can be recorded as Fourth fingerprint data.
  • the fourth duration may be the same as the second duration.
  • the method may include:
  • the fourth duration may be equal to the fingerprint recognition duration required for the recognition process of the third fingerprint image. That is, when the recognition result of the third fingerprint image is determined, the fourth duration of fingerprint data collection can be completed.
  • the fingerprint recognition duration of the third fingerprint image may be the same as the fingerprint recognition duration of the first fingerprint image.
  • the fingerprint data collected for the fourth period of time can be transmitted, and the fourth fingerprint image can be determined based on the fingerprint data collected for the fourth period of time, and then the fourth fingerprint image can be Perform recognition to determine the recognition result of the fingerprint under the screen.
  • the fourth fingerprint image is successfully recognized, corresponding functions such as unlocking, payment or login can be performed. If the fourth fingerprint image recognition fails, it can be determined that the recognition result of the under-screen fingerprint is failed, and the terminal will be unable to perform corresponding functions such as unlocking, payment, or login.
  • the first duration is recorded as T 1 .
  • the first duration T 1 can be equal to 1/2 of the target exposure duration T′ 1 .
  • the first duration T 1 is used to collect the first fingerprint data, and the first fingerprint data is used to determine the first fingerprint image.
  • the information processing time of the first fingerprint data, the third fingerprint data and the fourth fingerprint data may be the same, denoted as T 2 , and the information processing time T 2 may be the same as the target processing time T′ 2 .
  • the fingerprint recognition duration of the first fingerprint image, the third fingerprint image and the fourth fingerprint image may be the same, denoted as T 3 .
  • the fingerprint recognition duration T 3 may be equal to the target recognition duration T′ 3 minus the optimization duration of the DSP technology T 4 .
  • the third duration may be equal to the information processing duration T 2 .
  • the fourth duration may be equal to the fingerprint recognition duration T 3 , the fourth duration is used to collect the fourth fingerprint data, and the fourth fingerprint data is used to determine the fourth fingerprint image.
  • the quality level of the first fingerprint image is not the first level, it means that the fingerprint identified this time is not a good fingerprint. Then continue to determine the quality level of the third fingerprint image.
  • the quality level of the third fingerprint image is determined to be the second level, it means that the fingerprint identified this time is a poor fingerprint. Then fingerprint recognition can be performed on the third fingerprint image.
  • the final under-screen fingerprint recognition result can be determined based on the fourth fingerprint image.
  • the longest process duration for differential fingerprints is T 1 +3*T 2 +2*T 3
  • the longest process duration for differential fingerprints is 2(T′ 1 +T′ 2 +T′ 3 ), that is, the longest process time for good fingerprints in this implementation can be shortened than the time required by related technologies.
  • a fingerprint recognition process corresponding to the quality level is performed according to the quality level of the third fingerprint image.
  • a fourth duration of exposure can be performed at the same time, so that during the recognition process of the third fingerprint image, the fourth duration of fingerprint data can be simultaneously collected to update Quickly determine the fourth fingerprint image.
  • the recognition result of the under-screen fingerprint is determined based on the fourth fingerprint image.
  • an under-screen fingerprint recognition method is provided and applied to a terminal. Referring to Figure 2, in this method, after the exposure is continued for a third duration, the exposure may be continued for a fifth duration.
  • executing a fingerprint recognition process corresponding to the quality level may include:
  • the recognition result of the under-screen fingerprint is determined based on the fifth fingerprint image.
  • the fingerprint quality corresponding to the third level is lower than the fingerprint quality corresponding to the second level.
  • the second level corresponds to poor fingerprints
  • the third level corresponds to extremely poor fingerprints.
  • the fifth fingerprint image is determined based on the fingerprint data collected during the first time period, the fingerprint data collected during the third time period, and the fingerprint data collected during the fifth time period.
  • the exposure can be continued for a fifth duration.
  • the fifth fingerprint image is determined based on the first fingerprint data collected in the first time period, the third fingerprint data collected in the third time period, and the fifth fingerprint data collected in the fifth time period.
  • the terminal can transmit the fingerprint data collected in the fifth time period, and based on the fingerprint data collected in the fifth time period, and the fingerprint data collected in the first time period.
  • the data and the fingerprint data collected for the third period of time are used to determine the fifth fingerprint image, and then fingerprint recognition is performed on the fifth fingerprint image.
  • the terminal can perform corresponding unlocking, login or payment functions. If the fifth fingerprint image recognition fails, the terminal can end the off-screen fingerprint recognition process without performing unlocking, login or payment functions.
  • the mobile phone When the user unlocks the mobile phone, after the mobile phone detects the fingerprint recognition operation under the screen, it can light up the light spot and continue to expose it for a first time period T 1 , so that the optical fingerprint sensor of the mobile phone collects the first fingerprint data. Moreover, after the first period of continuous exposure, the exposure can be continued for a third period of time, so that the optical fingerprint sensor of the mobile phone collects the third fingerprint data. Moreover, after the third period of continuous exposure, the fifth period of exposure can be continued, so that the optical fingerprint sensor of the mobile phone collects the fifth fingerprint data.
  • the optical fingerprint sensor collects the first fingerprint data
  • it can be transmitted to the processor of the mobile phone, and the processor of the mobile phone can determine the first fingerprint image based on the above fingerprint data. From the completion of the first fingerprint data collection to the determination of the first fingerprint image by the processor, this period of time can be recorded as the information processing time T 2 , and this information processing time T 2 can be the same as the target processing time T′ 2 . It should be noted that the third duration may be equal to the information processing duration T 2 .
  • the processor After the processor determines the first fingerprint image, it can determine the quality level of the first fingerprint image. If it is determined that the quality level of the first fingerprint image is not the first level, the optical fingerprint sensor can transmit the third fingerprint data to the processor. At this point, the processor has obtained the first fingerprint data and the third fingerprint data, and then determines the third fingerprint image based on the third fingerprint data and the first fingerprint data.
  • the time period from the completion of the collection of the third fingerprint data to the determination of the third fingerprint image by the processor may be the same as the above information processing time period T 2 .
  • the processor After the processor determines the third fingerprint image, it can determine the quality level of the third fingerprint image. If the quality level of the third fingerprint image is determined to be the third level, it means that the fingerprint used for fingerprint identification this time is an extremely poor fingerprint.
  • the optical fingerprint sensor can transmit the fifth fingerprint data to the processor. At this point, the processor has obtained the first fingerprint data, the third fingerprint data and the fifth fingerprint data, and then determines the fifth fingerprint image based on the fifth fingerprint data, the third fingerprint data and the first fingerprint data.
  • the length of time from the completion of the collection of the fifth fingerprint data to the determination of the fifth fingerprint image by the processor may be the same as the above-mentioned information processing time T 2 .
  • the processor After the processor determines the fifth fingerprint image, it can perform fingerprint recognition on the fifth fingerprint image based on DSP technology. If the fingerprint recognition is confirmed to be successful, the phone can be unlocked. The time required for fingerprint recognition can be recorded as the fingerprint recognition time T 3 . If fingerprint recognition fails, the phone does not need to be unlocked.
  • the time required for the entire fingerprint identification process is T 1 +3*T 2 +T 3 , which is the process time for extremely poor fingerprints.
  • the first duration T 1 may be equal to 1/2 of the target exposure duration T′ 1
  • the fingerprint recognition duration T 3 may be equal to the target recognition duration T′ 3 minus the optimized duration T 4 of the DSP technology. That is, the fastest process time required by this implementation method for poor fingerprints can be shortened compared to the slowest process time required by related technologies for extremely poor fingerprints.
  • the entire fingerprint recognition process can be further improved and the user experience can be further improved.
  • the fingerprint recognition experience of extremely poor fingerprints can be further improved.
  • an under-screen fingerprint recognition device is provided and applied to a terminal.
  • the device is used to implement the above-mentioned under-screen fingerprint recognition method.
  • the device may include an exposure module 101, a judgment module 102 and an identification module 103. In the process of implementing the above method, the device
  • the exposure module 101 is configured to detect the off-screen fingerprint recognition operation and continue to expose for a first duration; wherein the first duration is less than the target exposure duration;
  • the judgment module 102 is configured to judge the quality level of the first fingerprint image; wherein the first fingerprint image is determined based on the fingerprint data collected for the first time period;
  • the recognition module 103 is configured to, according to the quality level of the first fingerprint image, perform a fingerprint recognition process corresponding to the quality level.
  • an under-screen fingerprint recognition device is provided and applied to a terminal.
  • the identification module 103 is configured as:
  • the recognition result of the under-screen fingerprint is successful, and the corresponding application is executed based on the recognition result of the under-screen fingerprint.
  • an under-screen fingerprint recognition device is provided and applied to a terminal. Referring to Figure 3, in this device,
  • the exposure module 101 is configured to continue to expose for a second duration during the process of identifying the first fingerprint image
  • the recognition module 103 is configured to, after the recognition of the first fingerprint image, if the recognition of the first fingerprint image fails, determine the recognition result of the under-screen fingerprint based on the second fingerprint image; wherein the second fingerprint image is based on the second fingerprint image. The duration of fingerprint data collection is determined.
  • an under-screen fingerprint recognition device is provided and applied to a terminal.
  • the device may include a transmission module 104 and a determination module 105 .
  • the transmission module 104 is configured to, after failing to recognize the first fingerprint image, transmit the fingerprint data collected for the second duration;
  • the determination module 105 is configured to determine the second fingerprint image based on the fingerprint data collected for the second time period.
  • an under-screen fingerprint recognition device is provided and applied to a terminal. Referring to Figure 3, in this device,
  • the exposure module 101 is configured to continue the exposure for a third duration after continuing the exposure for the first duration;
  • the judgment module 102 is configured to, if it is determined that the quality level of the first fingerprint image is not the first level, then judge the quality level of the third fingerprint image; wherein the third fingerprint image is based on the fingerprint data collected in the first time period and the third time period. The collected fingerprint data is confirmed;
  • the identified module 103 is configured to, according to the quality level of the third fingerprint image, perform a fingerprint recognition process corresponding to the quality level.
  • an under-screen fingerprint recognition device is provided and applied to a terminal.
  • the device may include a transmission module 104 and a determination module 105 .
  • the transmission module 104 is configured to, after determining that the quality level of the first fingerprint image is not the first level, transmit the fingerprint data collected for the third period of time;
  • the determining module 105 is configured to determine the third fingerprint image based on the fingerprint data collected during the first time period and the fingerprint data collected during the third time period.
  • an under-screen fingerprint recognition device is provided and applied to a terminal.
  • the identification module 103 is configured as:
  • the third fingerprint image is identified; wherein the quality of the fingerprint corresponding to the second level is smaller than the quality of the fingerprint corresponding to the first level;
  • the recognition result of the under-screen fingerprint is determined to be successful.
  • an under-screen fingerprint recognition device is provided and applied to a terminal. Referring to Figure 3, in this device,
  • the exposure module 101 is configured to, during the process of identifying the third fingerprint image, continue to expose for a fourth duration;
  • the recognition module 103 is configured to, if the recognition of the third fingerprint image fails, determine the recognition result of the under-screen fingerprint based on the fourth fingerprint image; wherein the fourth fingerprint image is determined based on the fingerprint data collected for the fourth time period.
  • an under-screen fingerprint recognition device is provided and applied to a terminal.
  • the device may include a transmission module 104 and a determination module 105 .
  • the transmission module 104 is configured to, after failing to recognize the third fingerprint image, transmit the fingerprint data collected for the fourth duration;
  • the determining module 105 is configured to determine a fourth fingerprint image based on the fingerprint data collected for a fourth period of time.
  • an under-screen fingerprint recognition device is provided and applied to a terminal. Referring to Figure 3, in this device,
  • the exposure module 101 is configured to continue the exposure for a fifth time after continuing the exposure for a third time;
  • the recognition module 103 is configured to, if it is determined that the quality level of the third fingerprint image is the third level, determine the recognition result of the under-screen fingerprint based on the fifth fingerprint image; wherein the fingerprint quality corresponding to the third level is smaller than that corresponding to the second level. Fingerprint quality, the fifth fingerprint image is determined based on the fingerprint data collected in the first period, the fingerprint data collected in the third period, and the fingerprint data collected in the fifth period.
  • an under-screen fingerprint recognition device is provided and applied to a terminal.
  • the device may include a transmission module 104 and a determination module 105 .
  • the transmission module 104 is configured to, after determining that the quality level of the third fingerprint image is the third level, transmit the fingerprint data collected for the fifth time period;
  • the determination module 105 is configured to determine the fifth fingerprint image based on the fingerprint data collected during the first time period, the fingerprint data collected during the third time period, and the fingerprint data collected during the fifth time period.
  • a terminal is provided.
  • the terminal can be a mobile phone, computer, digital broadcast terminal, messaging device, game console, tablet device, medical device, fitness device, personal digital assistant, etc.
  • the terminal 800 may include one or more of the following components: a processing component 802 , a memory 804 , a power component 806 , a multimedia component 808 , an audio component 810 , an input/output (I/O) interface 812 , and a sensor component. 814, and communications component 816.
  • a processing component 802 a memory 804 , a power component 806 , a multimedia component 808 , an audio component 810 , an input/output (I/O) interface 812 , and a sensor component. 814, and communications component 816.
  • Processing component 802 generally controls the overall operations of terminal 800, such as operations associated with display, phone calls, data communications, camera operations, and recording operations.
  • the processing component 802 may include one or more processors 820 to execute instructions to complete all or part of the steps of the above method.
  • processing component 802 may include one or more modules that facilitate interaction between processing component 802 and other components.
  • processing component 802 may include a multimedia module to facilitate interaction between multimedia component 808 and processing component 802.
  • Memory 804 is configured to store various types of data to support operations at device 800 . Examples of such data include instructions for any application or method operating on the terminal 800, contact data, phonebook data, messages, pictures, videos, etc.
  • Memory 804 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.
  • SRAM static random access memory
  • EEPROM electrically erasable programmable read-only memory
  • EEPROM erasable programmable read-only memory
  • EPROM Programmable read-only memory
  • PROM programmable read-only memory
  • ROM read-only memory
  • magnetic memory flash memory, magnetic or optical disk.
  • Power supply component 806 provides power to various components of terminal 800.
  • Power component 806 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to terminal 800.
  • Multimedia component 808 includes a screen that provides an output interface between the terminal 800 and the user.
  • 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.
  • multimedia component 808 includes a front-facing camera and/or a rear-facing camera.
  • 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 810 is configured to output and/or input audio signals.
  • audio component 810 includes a microphone (MIC) configured to receive external audio signals when terminal 800 is in operating modes, such as call mode, recording mode, and voice recognition mode. The received audio signal may be further stored in memory 804 or sent via communication component 816 .
  • audio component 810 also includes a speaker for outputting audio signals.
  • the I/O interface 812 provides an interface between the processing component 802 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 814 includes one or more sensors that provide various aspects of status assessment for terminal 800 .
  • the sensor component 814 can detect the open/closed state of the device 800, the relative positioning of components, such as the display and keypad of the terminal 800, and the sensor component 814 can also detect the position change of the terminal 800 or a component of the terminal 800. , the presence or absence of user contact with the terminal 800 , the orientation or acceleration/deceleration of the terminal 800 and the temperature change of the terminal 800 .
  • Sensor assembly 814 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact.
  • Sensor assembly 814 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications.
  • the sensor component 814 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
  • the communication component 816 is configured to facilitate wired or wireless communication between the terminal 800 and other devices.
  • the terminal 800 can access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof.
  • the communication component 816 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel.
  • the communications component 816 also includes a near field communications (NFC) module to facilitate short-range communications.
  • NFC near field communications
  • 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.
  • RFID radio frequency identification
  • IrDA infrared data association
  • UWB ultra-wideband
  • Bluetooth Bluetooth
  • the terminal 800 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-mentioned under-screen fingerprint recognition method.
  • ASICs application specific integrated circuits
  • DSPs digital signal processors
  • DSPDs digital signal processing devices
  • PLDs programmable logic devices
  • FPGA field programmable Gate array
  • controller microcontroller, microprocessor or other electronic components are implemented for executing the above-mentioned under-screen fingerprint recognition method.
  • a non-transitory computer-readable storage medium including instructions such as a memory 804 including instructions, which can be executed by the processor 820 of the terminal 800 to complete the above method is also provided.
  • 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 which when instructions in the storage medium are executed by a processor of a terminal, enables the terminal to perform the above-mentioned off-screen fingerprint recognition method.
  • the first exposure time is first, and based on the quality level of the first fingerprint image obtained for the first time period, the corresponding quality level is performed.
  • the fingerprint recognition process is used to determine the recognition results of the fingerprint under the screen, improve the entire fingerprint recognition process, and enhance the user experience. In particular, it can greatly improve the fingerprint recognition experience of fingerprint images with better fingerprint quality.

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Abstract

本公开是关于一种屏下指纹识别方法、装置、终端及存储介质，其中，屏下指纹识别方法包括：检测到屏下指纹识别操作，持续曝光第一时长；其中，第一时长小于目标曝光时长；判断第一指纹图像的质量等级；其中，第一指纹图像基于第一时长采集的指纹数据确定；根据第一指纹图像的质量等级，执行对应质量等级的指纹识别过程。本公开中，在进行屏下指纹识别时，先曝光第一时长，根据第一时长得到的第一指纹图像的质量等级，执行对应质量等级的指纹识别过程，以确定屏下指纹的识别结果，改善整个指纹识别流程，提升用户的使用体验，尤其可以很大程度提升指纹质量较好的指纹图像的指纹识别体验。

Description

一种屏下指纹识别方法、装置、终端及存储介质 技术领域
本公开涉及终端领域，尤其涉及一种屏下指纹识别方法、装置、终端及存储介质。
背景技术
目前，越来越多的手机等终端采用屏下光学指纹识别技术进行指纹解锁。其中，屏下光学指纹识别受到原理影响，需要在光斑亮起后持续曝光一段固定时长以得到指纹图像，然后再对指纹图像进行传输、处理和识别等操作，指纹识别所用时长较长，体验较差。
发明内容
为克服相关技术中存在的问题，本公开提供一种屏下指纹识别方法、装置、终端及存储介质。
根据本公开实施例的第一方面，提供一种屏下指纹识别方法，应用于终端，其中，屏下指纹识别方法包括：
检测到屏下指纹识别操作，持续曝光第一时长；其中，第一时长小于目标曝光时长；
判断第一指纹图像的质量等级；其中，第一指纹图像基于第一时长采集的指纹数据确定；
根据第一指纹图像的质量等级，执行对应质量等级的指纹识别过程。
在一实施方式中，根据第一指纹图像的质量等级，执行对应质量等级的指纹识别过程，包括：
若确定第一指纹图像的质量等级为第一等级，则对第一指纹图像进行识别；
若对第一指纹图像识别成功，则确定屏下指纹的识别结果为成功，并根据屏下指纹的识别结果执行对应应用。
在一实施方式中，
屏下指纹识别方法包括：
在对第一指纹图像进行识别的过程中，持续曝光第二时长；
对第一指纹图像进行识别之后，指纹识别方法包括：
若对第一指纹图像识别失败，则根据第二指纹图像确定屏下指纹的识别结果；其中，第二指纹图像基于第二时长采集的指纹数据确定。
在一实施方式中，对第一指纹图像识别失败之后，屏下指纹识别方法包括：
对第二时长采集的指纹数据进行传输，并根据第二时长采集的指纹数据，确定第二指纹图像。
在一实施方式中，
持续曝光第一时长之后，屏下指纹识别方法包括：
持续曝光第三时长；
根据第一指纹图像的质量等级，执行对应质量等级的指纹识别过程，包括：
若确定第一指纹图像的质量等级不为第一等级，则判断第三指纹图像的质量等级；其中，第三指纹图像基于第一时长采集的指纹数据和第三时长采集的指纹数据确定；
根据第三指纹图像的质量等级，执行对应质量等级的指纹识别过程。
在一实施方式中，确定第一指纹图像的质量等级不为第一等级之后，屏下指纹识别方法包括：
对第三时长采集的指纹数据进行传输，并根据第一时长采集的指纹数据和第三时长采集的指纹数据，确定第三指纹图像。
在一实施方式中，根据第三指纹图像的质量等级，执行对应质量等级的指纹识别过程，包括：
若确定第三指纹图像的质量等级为第二等级，则对第三指纹图像进行识别；其中，第二等级对应的指纹质量小于第一等级对应的指纹质量；
若对第三指纹图像识别成功，则确定屏下指纹的识别结果为成功。
在一实施方式中，
屏下指纹识别方法包括：
在对第三指纹图像识别的过程中，持续曝光第四时长；
对第三指纹图像进行识别之后，屏下指纹识别方法包括：
若对第三指纹图像识别失败，则根据第四指纹图像确定屏下指纹的识别结果；其中，第四指纹图像基于第四时长采集的指纹数据确定。
在一实施方式中，对第三指纹图像识别失败之后，屏下指纹识别方法包括：
对第四时长采集的指纹数据进行传输，并根据第四时长采集的指纹数据，确定第四指纹图像。
在一实施方式中，
持续曝光第三时长之后，屏下指纹识别方法包括：
持续曝光第五时长；
根据第三指纹图像的质量等级，执行对应质量等级的指纹识别过程，包括：
若确定第三指纹图像的质量等级为第三等级，则根据第五指纹图像确定屏下指纹的识别结果；其中，第三等级对应的指纹质量小于第二等级对应的指纹质量，第五指纹图像基于第一时长采集的指纹数据、第三时长采集的指纹数据和第五时长采集的指纹数据确定。
在一实施方式中，确定第三指纹图像的质量等级为第三等级之后，屏下指纹识别方法包括：
对第五时长采集的指纹数据进行传输，并根据第一时长采集的指纹数据、第三时长采集的指纹数据和第五时长采集的指纹数据，确定第五指纹图像。
根据本公开实施例的第二方面，提供一种屏下指纹识别装置，应用于终端，其中，屏下指纹识别装置包括：
曝光模块被配置为，检测到屏下指纹识别操作，持续曝光第一时长；其中，第一时长小于目标曝光时长；
判断模块被配置为，判断第一指纹图像的质量等级；其中，第一指纹图像基于第一时长采集的指纹数据确定；
识别模块被配置为，根据第一指纹图像的质量等级，执行对应质量等级的指纹识别过程。
在一实施方式中，识别模块被配置为：
若确定第一指纹图像的质量等级为第一等级，则对第一指纹图像进行识别；
若对第一指纹图像识别成功，则确定屏下指纹的识别结果为成功，并根据屏下指纹的识别结果执行对应应用。
在一实施方式中，
曝光模块被配置为，在对第一指纹图像进行识别的过程中，持续曝光第二时长；
识别模块被配置为，对第一指纹图像进行识别之后，若对第一指纹图像识别失败，则根据第二指纹图像确定屏下指纹的识别结果；其中，第二指纹图像基于第二时长采集的指纹数据确定。
在一实施方式中，屏下指纹识别装置包括传输模块和确定模块，
传输模块被配置为，对第一指纹图像识别失败之后，对第二时长采集的指纹数据进行传输；
确定模块被配置为，根据第二时长采集的指纹数据，确定第二指纹图像。
在一实施方式中，
曝光模块被配置为，持续曝光第一时长之后，持续曝光第三时长；
判断模块被配置为，若确定第一指纹图像的质量等级不为第一等级，则判断第三指纹图像的质量等级；其中，第三指纹图像基于第一时长采集的指纹数据和第三时长采集的指纹数据确定；
识别模块被配置为，根据第三指纹图像的质量等级，执行对应质量等级的指纹识别过程。
在一实施方式中，屏下指纹识别装置包括传输模块和确定模块，
传输模块被配置为，确定第一指纹图像的质量等级不为第一等级之后，对第三时长采集的指纹数据进行传输；
确定模块被配置为，根据第一时长采集的指纹数据和第三时长采集的指纹数据，确定第三指纹图像。
在一实施方式中，识别模块被配置为：
若确定第三指纹图像的质量等级为第二等级，则对第三指纹图像进行识别；其中，第二等级对应的指纹质量小于第一等级对应的指纹质量；
若对第三指纹图像识别成功，则确定屏下指纹的识别结果为成功。
在一实施方式中，
曝光模块被配置为，在对第三指纹图像识别的过程中，持续曝光第四时长；
识别模块被配置为，若对第三指纹图像识别失败，则根据第四指纹图像确定屏下指纹的识别结果；其中，第四指纹图像基于第四时长采集的指纹数据确定。
在一实施方式中，屏下指纹识别装置包括传输模块和确定模块，
传输模块被配置为，对第三指纹图像识别失败之后，对第四时长采集的指纹数据进行传输；
确定模块被配置为，根据第四时长采集的指纹数据，确定第四指纹图像。
在一实施方式中，
曝光模块被配置为，持续曝光第三时长之后，持续曝光第五时长；
识别模块被配置为，若确定第三指纹图像的质量等级为第三等级，则根据第五指纹图像确定屏下指纹的识别结果；其中，第三等级对应的指纹质量小于第二等级对应的指纹质量，第五指纹图像基于第一时长采集的指纹数据、第三时长采集的指纹数据和第五时长采集的指纹数据确定。
在一实施方式中，屏下指纹识别装置包括传输模块和确定模块，
传输模块被配置为，确定第三指纹图像的质量等级为第三等级之后，对第五时长采集的 指纹数据进行传输；
确定模块被配置为，根据第一时长采集的指纹数据、第三时长采集的指纹数据和第五时长采集的指纹数据，确定第五指纹图像。
根据本公开实施例的第三方面，提供一种终端，其中，终端包括：
处理器；
用于存储处理器可执行指令的存储器；
其中，处理器被配置为执行如第一方面的屏下指纹识别方法。
根据本公开实施例的第四方面，提供一种非临时性计算机可读存储介质，其中，当存储介质中的指令由终端的处理器执行时，使得终端能够执行如第一方面的屏下指纹识别方法。
本公开的实施例提供的技术方案可以包括以下有益效果：本公开中，在进行屏下指纹识别时，先曝光第一时长，根据第一时长得到的第一指纹图像的质量等级，执行对应质量等级的指纹识别过程，以确定屏下指纹的识别结果，改善整个指纹识别流程，提升用户的使用体验，尤其可以很大程度提升指纹质量较好的指纹图像的指纹识别体验。
应当理解的是，以上的一般描述和后文的细节描述仅是示例性和解释性的，并不能限制本公开。
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图1是根据一示例性实施例示出的一种屏下指纹识别方法的流程图。
图2是根据一示例性实施例示出的一种屏下指纹识别方法的示意图。
图3是根据一示例性实施例示出的一种屏下指纹识别装置的框图。
图4是根据一示例性实施例示出的一种终端的框图。
具体实施方式
这里将详细地对示例性实施例进行说明，其示例表示在附图中。下面的描述涉及附图时，除非另有表示，不同附图中的相同数字表示相同或相似的要素。以下示例性实施例中所描述的实施方式并不代表与本发明相一致的所有实施方式。相反，它们仅是与如所附权利要求书中所详述的、本发明的一些方面相一致的装置和方法的例子。
相关技术中，一般设置两次指纹识别流程，分别记为Retry0和Retry1。其中，Retry0 和Retry1均需要进行曝光采集指纹数据、指纹数据的传输与处理、指纹图像的识别等，并且，Retry0与Retry1之间是串行关系，只有在Retry0结束后才会进入Retry1，导致用时较长。
而且，相关技术中，并未对指纹图像的指纹质量进行区分，均采用上述串行的指纹识别流程。其中，曝光采集指纹数据所需时长相同，此时长一般较长，可记为目标曝光时长T′ 1，该段时长用于采集指纹数据。指纹数据的传输与处理所需时长一般可记为目标处理时长T′ 2，该段时长用于对指纹数据进行传输和处理，得到指纹图像。指纹图像的识别所需时长一般可记为目标识别时长T′ 3，该段时长用于对指纹图像进行识别。这就导致，指纹质量好的指纹图像与指纹质量差的指纹图像的指纹识别流程的最短时长均为T′ 1+T′ 21+T′ 3，最长时长均为2(T′ 1+T′ 2+T′ 3)，对于指纹质量好的指纹图像的指纹识别体验非常差。
本公开实施例提供了一种屏下指纹识别方法，应用于终端。该方法中，先曝光第一时长，根据第一时长得到的第一指纹图像的质量等级，执行对应质量等级的指纹识别过程，以确定屏下指纹的识别结果，改善整个指纹识别流程，提升用户的使用体验，尤其可以很大程度提升指纹质量较好的指纹图像的指纹识别体验。
在一个示例性实施例中，提供了一种屏下指纹识别方法，应用于终端。参考图1和图2所示，该方法可包括：
S110、检测到屏下指纹识别操作，持续曝光第一时长；其中，第一时长小于目标曝光时长；
S120、判断第一指纹图像的质量等级；其中，第一指纹图像基于第一时长采集的指纹数据确定；
S130、根据第一指纹图像的质量等级，执行对应质量等级的指纹识别过程。
在步骤S110中，终端可包括光学指纹传感器。当终端检测到屏下指纹识别操作时，便可点亮光斑，使得终端持续曝光第一时长。在曝光期间，终端可通过光学指纹传感器采集到指纹数据，此指纹数据可记为第一指纹数据。终端采集到第一指纹数据，可对第一指纹数据进行传输，然后基于第一指纹数据确定第一指纹图像。
需要说明的是，本公开中，第一时长可记为T 1。第一时长T 1可小于目标曝光时长T′ 1，具体数值可根据实际情况设置，对此不作限定。其中，目标曝光时长指相关技术中，每次指纹识别流程的曝光时长。在一些实施方式中，第一时长T 1可以是T′ 1/2。
在步骤S120中，终端的确定了第一指纹图像后，便可判断第一指纹图像的质量等级。
其中，可先确定第一指纹图像的第一指纹质量值，然后根据第一指纹质量值确定第一指纹图像的质量等级。第一指纹质量值可用于表征第一指纹图像的整体谷脊清晰程度。需要说 明的是，第一指纹质量值越高，后续指纹识别的准确率也就越高。
本公开中，可设置至少两个质量等级，并可为每个质量等级设置对应的指纹质量阈值。其中，可将第一指纹质量值所属的指纹质量阈值，确定为目标阈值。然后将目标阈值对应的质量等级，确定为第一指纹图像对应的质量等级。
其中，指纹质量阈值可以是终端出厂前设置的，也可以是终端出厂后设置的，对此不作限定。并且，指纹质量阈值设置完成后，后续也可对其进行修改，以更好地满足用户的不同需求。另外，指纹质量阈值的具体范围不作限定，其可根据实际情况设置。
另外，相关技术中，指纹图像的识别一般还包括对指纹的匹配识别和防伪识别。匹配识别指，将采集到的指纹图像与预设的指纹图像进行对比。防伪识别指，判断采集到的指纹图像是否为真的指纹图像。其中，匹配识别与防伪识别一般串行进行，所需时长较长，一般记为常规识别时长T′ 3。
本公开中，可采用数字信号处理(Digital Signal Processing，简称DSP)的方式对指纹进行并行处理。也就是，在对第一指纹图像进行识别时，可在对第一指纹图像进行匹配识别的处理过程中，并行对第一指纹图像进行防伪识别，以做更好地缩短对指纹的处理时长，进一步提升用户的使用体验。本公开的指纹识别所需时长可记为指纹识别时长T 3。其中，指纹识别时长T 3可小于目标识别时长T′ 3。其中，指纹识别时长T 3与目标识别时长T′ 3的差值即为DSP技术优化的时长，该时长可记为识别优化时长T 4。
在步骤S130中，不同的质量等级的第一指纹图像可对应不同的指纹识别过程。在确定了第一指纹图像对应的质量等级后，便可执行对应质量等级的指纹识别过程。
例如，若第一指纹图像的质量等级为好指纹对应的质量等级，便可认为此次采集到的指纹数据为好指纹，可直接对第一指纹图像进行指纹识别。如果识别成功，便可执行对应的功能。对应的功能可以是解锁、登录或者支付等等，对此不作限定。
其中，可将第一指纹图像与设定的指纹图像进行匹配，以确定指纹识别结果。例如，若第一指纹图像与设定的指纹图像匹配成功，便可指纹是别家结果确定为识别成功。
该方法中，引入了指纹图像的质量等级。在进行屏下指纹识别时，可先曝光第一时长，根据第一时长得到的第一指纹图像的质量等级，执行对应质量等级的指纹识别过程，以确定屏下指纹的识别结果，改善整个指纹识别流程，提升用户的使用体验，尤其可以很大程度提升指纹质量较好的指纹图像的指纹识别体验。
在一个示例性实施例中，提供了一种屏下指纹识别方法，应用于终端。参考图2所示，该方法中，根据第一指纹图像的质量等级，执行对应质量等级的指纹识别过程，可包括：
S210、若确定第一指纹图像的质量等级为第一等级，则对第一指纹图像进行识别；
S220、若对第一指纹图像识别成功，则确定屏下指纹的识别结果为成功，并根据屏下指纹的识别结果执行对应应用。
在步骤S210中，第一等级表征第一指纹图像的指纹质量值较高，例如，第一等级表征第一指纹图像对应的指纹为好指纹，更加便于进行指纹识别。
其中，可先确定第一指纹图像的第一指纹质量值，然后根据第一指纹质量值确定第一指纹图像的质量等级。第一指纹质量值可用于表征第一指纹图像的整体谷脊清晰程度。需要说明的是，第一指纹质量值越高，后续指纹识别的准确率也就越高。
需要说明的是，本公开可以基于图像对比度，或对图像二值化处理检测出图像脊骨区域，或依赖图像样本数量，实现指纹图像的指纹质量评估，确定指纹质量值。另外，也可通过其他方式确定指纹质量值，对此不作限定。其中，指纹质量值一般可分为1-100共100个数值，数值越大说明指纹质量越好。
在一些实施方式中，终端可预设第一指纹质量阈值，第一指纹质量阈值对应的质量等级可以是第一等级。第一指纹质量阈值可以是大于或等于以指纹质量值800。若确定第一指纹图像的指纹质量值大于或等于800，则说明第一指纹图像的指纹质量值属于第一指纹质量阈值，便可确定第一指纹图像对应的质量等级为第一等级。
该步骤中，在确定第一指纹图像的质量等级为第一等级后，便可对第一指纹图像进行识别。
在步骤S220中，若确定对第一指纹图像识别成功，便可直接确定屏下指纹的识别结果为成功。然后，终端便可执行对应的解锁、登录或支付等对应应用。
在一些实施方式中，
用户在解锁手机时，手机检测到屏下指纹识别操作后，便可点亮光斑，并持续曝光第一时长T 1，以使得手机的光学指纹传感器采集指纹数据。
光学指纹传感器采集到指纹数据后，便可将其传输至手机的处理器，手机的处理器便可基于上述指纹数据确定第一指纹图像。从光学指纹传感器采集到指纹数据至处理器确定第一指纹图像，这段时长用于对指纹数据进行传输和处理，以确定第一指纹图像，所需时长可记为信息处理时长T 2，此信息处理时长T 2可与目标处理时长T′ 2相同。
处理器确定第一指纹图像后，便可判断第一指纹图像的质量等级。若确定第一指纹图像的质量等级为第一等级，便可基于DSP技术对第一指纹图像进行指纹识别。若确定指纹识别成功，手机便可解锁。指纹识别所需时长可记为指纹识别时长T 3。
该实施方式中，整个指纹识别流程所需时长为T 1+T 2+T 3，此时长为好指纹的最快流程时长。其中，第一时长T 1可等于目标曝光时长T′ 1的1/2，指纹识别时长T 3可等于目标识别时长T′ 3减去DSP技术的优化时长T 4。即，该实施方式对于好指纹所需的最快流程时长，可比相关技术对于好指纹所需的最快时长缩短
Figure PCTCN2022099500-appb-000001
该方法中，通过根据第一指纹图像的质量等级，来执行对应质量等级的指纹识别过程。其中，当第一指纹图像的质量等级为第一等级时，便可直接对第一指纹图像进行识别，若识别成功，便可执行对应应用。该方法可以改善整个指纹识别流程，提升用户的使用体验，尤其可以很大程度提升好指纹的指纹识别体验。
在一个示例性实施例中，提供了一种屏下指纹识别方法，应用于终端。参考图2所示，该方法中，在对第一指纹图像进行识别的过程中，可持续曝光第二时长。
也就是说，在确定了第一指纹图像的质量等级为第一等级后，便可点亮光斑，并持续曝光第二时长，从而采集到第二时长对应的指纹数据，此指纹数据可记为第二指纹数据。
其中，该方法中，对第一指纹图像进行识别之后，可包括：
S310、若对第一指纹图像识别失败，则根据第二指纹图像确定屏下指纹的识别结果。
需要说明的是，在持续曝光第二时长的过程中，同时对第一指纹图像进行识别。也就是，第二时长可等于第一指纹图像的识别过程所需的指纹识别时长T 3。即，在确定第一指纹图像的识别结果时，可完成第二时长的指纹数据采集。
该步骤中，在确定对第一指纹图像识别失败后，便可对第二时长采集的指纹数据进行传输，并根据第二时长采集的指纹数据确定第二指纹图像，然后对第二指纹图像进行识别，以确定屏下指纹的识别结果。
其中，若对第二指纹图像识别成功，便可执行对应的解锁、支付或登录等功能。若对第二指纹图像识别失败，便可确定此次屏下指纹的识别结果为失败，终端便无法执行对应的解锁、支付或登录等功能。
在一些实施方式中，
第一时长记为T 1，第一时长T 1可等于目标曝光时长T′ 1的1/2，第一时长T 1用于采集第一指纹数据，第一指纹数据用于确定第一指纹图像。信息处理时长记为T 2，此信息处理时长T 2可与常规处理时长T′ 2相同。指纹识别时长可记为T 3，指纹识别时长T 3可等于目标识别时长T′ 3减去DSP技术的优化时长T 4。第二时长可等于指纹识别时长T 3，第二时长用于采集第二指纹数据，第二指纹数据用于确定第二指纹图像。
该实施方式中，若第一指纹图像的质量等级为第一等级，则说明第一指纹图像对应于好 指纹。在对第一指纹图像识别失败后，便可根据第二指纹图像确定最终的屏下指纹的识别结果，其中，对第二指纹图像的指纹识别时长也可等于T 3。即，该实施方式中，对于好指纹的最长流程时长为T 1+T 2+T 3+T 2+T 3，而相关技术中，对于好指纹的最长流程时长为2(T′ 1+T′ 2+T′ 3)，即，该实施方式对于好指纹的最长流程时长可比相关技术所需的时长缩短
Figure PCTCN2022099500-appb-000002
该方法中，通过根据第一指纹图像的质量等级，来执行对应质量等级的指纹识别过程。其中，在确定第一指纹图像的质量等级为第一等级后，便可同时进行第二时长的曝光，以在对第一指纹图像的识别过程中，同时采集第二时长的指纹数据，以更快地确定第二指纹图像。并在确定对第一指纹图像识别失败后，根据第二指纹图像确定屏下指纹的识别结果。该方法可以改善整个指纹识别流程，提升用户的使用体验，尤其可以很大程度提升好指纹的指纹识别体验。
在一个示例性实施例中，提供了一种屏下指纹识别方法，应用于终端。参考图2所示，该方法中，在持续曝光第一时长之后，可继续持续曝光第三时长。
其中，根据第一指纹图像的质量等级，执行对应质量等级的指纹识别过程，可包括：
S410、若确定第一指纹图像的质量等级不为第一等级，则判断第三指纹图像的质量等级；其中，第三指纹图像基于第一时长采集的指纹数据和第三时长采集的指纹数据确定；
S420、根据第三指纹图像的质量等级，执行对应质量等级的指纹识别过程。
在步骤S410中，在确定第一指纹图像的质量等级不是第一等级之后，便可对第三时长采集的指纹数据进行传输，并根据第三时长采集的指纹数据以及之前第一时长采集的指纹数据，确定第三指纹图像，然后判断第三指纹图像的质量等级。其中，对于第三指纹图像的质量等级的判断，可参考对第一指纹图像的质量等级的判断方法，对此不作赘述。
在步骤S420中，不同质量等级的第三指纹图像可对应不同的指纹识别过程。在确定了第三指纹图像对应的质量等级后，便可执行对应质量等级的指纹识别过程。
例如，若第三指纹图像的质量等级为差指纹对应的质量等级，便可认为此次采集到的指纹数据为差指纹，可直接对第三指纹图像进行指纹识别。如果识别成功，便可执行对应的功能。对应的功能可以是解锁、登录或者支付等等，对此不作限定。
其中，对第三指纹图像的识别方式可参考对第一指纹图像的识别方式，对此不作赘述。
该方法中，在确定第一指纹图像的质量等级不为第一等级后，便可判断第三指纹图像的质量等级，然后根据第三指纹图像的质量等级，执行对应质量等级的指纹识别过程，以确定屏下指纹的识别结果。该方法可进一步改善整个指纹识别流程，提升用户的使用体验。
在一个示例性实施例中，提供了一种屏下指纹识别方法，应用于终端。参考图2所示，该方法中，根据第三指纹图像的质量等级，执行对应质量等级的指纹识别过程，可包括：
S510、若确定第三指纹图像的质量等级为第二等级，则对第三指纹图像进行识别；
S520、若对第三指纹图像识别成功，则确定屏下指纹的识别结果为成功。
在步骤S510中，第二等级对应的指纹质量小于第一等级对应的指纹质量。例如，第一等级对应于好指纹的指纹质量，第二等级对应于差指纹的指纹质量。
该步骤中，第三指纹图像的质量等级的确定方式，可参考第一指纹图像的质量等级的确定方式，对此不作赘述。另外，对第三指纹图像的是识别方式，可参考对第一指纹图像的识别方式，对此不作赘述。
在步骤S520中，若确定第三指纹图像识别成功，便可直接确定屏下指纹的识别结果为成功。然后，终端便可执行对应的解锁、登录或支付等功能。
在一些实施方式中，
用户在解锁手机时，手机检测到屏下指纹识别操作后，便可点亮光斑，并持续曝光第一时长T 1，以使得手机的光学指纹传感器采集第一指纹数据。并且，在持续曝光第一时长之后，可继续持续曝光第三时长，以使得手机的光学指纹传感器采集第三指纹数据。
另外，光学指纹传感器采集到第一指纹数据后，便可将其传输至手机的处理器，手机的处理器便可基于上述指纹数据确定第一指纹图像。从第一指纹数据采集完成至处理器确定第一指纹图像，这段时长可记为信息处理时长T 2，此信息处理时长T 2可与目标处理时长T′ 2相同。需要说明的是，第三时长可等于信息处理时长T 2。
处理器确定第一指纹图像后，便可判断第一指纹图像的质量等级。若确定第一指纹图像的质量等级不为第一等级，光学指纹传感器便可将第三指纹数据传输至处理器。至此，处理器便得到了第一指纹数据和第三指纹数据，然后基于第三指纹数据和第一指纹数据，确定第三指纹图像。其中，从第三指纹数据采集完成至处理器确定第三指纹图像，这段时长可与上述信息处理时长T 2相同。
处理器确定第三指纹图像后，便可判断第三指纹图像的质量等级。若确定第三指纹图像的质量等级为第二等级，便可说明此次用于进行指纹识别的指纹为差指纹。便可基于DSP技术对第三指纹图像进行指纹识别。若确定指纹识别成功，手机便可解锁。指纹识别所需时长可记为指纹识别时长T 3。
该实施方式中，整个指纹识别流程所需时长为T 1+T 2+T 2+T 3，此时长为差指纹的最快流程时长。其中，第一时长T 1可等于目标曝光时长T′ 1的1/2，指纹识别时长T 3可等于目标识 别时长T′ 3减去DSP技术的优化时长T 4。即，该实施方式对于差指纹所需的最快流程时长，可比相关技术对于差指纹所需的最快时长缩短
Figure PCTCN2022099500-appb-000003
需要说明的是，目标曝光时长T′ 1和优化时长T 4一般均远大于常规处理时长T′ 2。也就是，相对于相关技术，本公开的方法对于差指纹的整体识别流程所需时长仍然更短。
该方法中，通过根据第三指纹图像的质量等级，来执行对应质量等级的指纹识别过程，可以进一步改善整个指纹识别流程，提升用户的使用体验，尤其可以进一步提升差指纹的指纹识别体验。
在一个示例性实施例中，提供了一种屏下指纹识别方法，应用于终端。参考图2所示，该方法中，在对第三指纹图像识别的过程中，持续曝光第四时长。
也就是说，在确定了第三指纹图像的质量等级为第二等级后，便可点亮光斑，并持续曝光第四时长，从而采集到第四时长对应的指纹数据，此指纹数据可记为第四指纹数据。需要说明的是，第四时长可与第二时长相同。
其中，该方法中，对第三指纹图像进行识别之后，可包括：
S610、若对第三指纹图像识别失败，则根据第四指纹图像确定屏下指纹的识别结果；其中，第四指纹图像基于第四时长采集的指纹数据确定。
需要说明的是，在持续曝光第四时长的过程中，同时对第三指纹图像进行识别。也就是，第四时长可等于第三指纹图像的识别过程所需的指纹识别时长。即，在确定第三指纹图像的识别结果时，可完成第四时长的指纹数据采集。
其中，第三指纹图像的指纹识别时长可与第一指纹图像的指纹识别时长相同。
该步骤中，在确定对第三指纹图像识别失败后，便可对第四时长采集的指纹数据进行传输，并根据第四时长采集的指纹数据，确定第四指纹图像，然后对第四指纹图像进行识别，以确定屏下指纹的识别结果。
其中，若对第四指纹图像识别成功，便可执行对应的解锁、支付或登录等功能。若对第四指纹图像识别失败，便可确定此次屏下指纹的识别结果为失败，终端便无法执行对应的解锁、支付或登录等功能。
在一些实施方式中，
第一时长记为T 1，第一时长T 1可等于目标曝光时长T′ 1的1/2，第一时长T 1用于采集第一指纹数据，第一指纹数据用于确定第一指纹图像。第一指纹数据、第三指纹数据和第四指纹数据的信息处理时长可相同，记为T 2，此信息处理时长T 2可与目标处理时长T′ 2相同。第一指纹图像、第三指纹图像和第四指纹图像的指纹识别时长可相同，记为T 3，指纹识别时长T 3可 等于目标识别时长T′ 3减去DSP技术的优化时长T 4。第三时长可等于信息处理时长T 2。第四时长可等于指纹识别时长T 3，第四时长用于采集第四指纹数据，第四指纹数据用于确定第四指纹图像。
该实施方式中，若第一指纹图像的质量等级不为第一等级，则说明此次指纹识别的指纹不是好指纹。则继续判断第三指纹图像的质量等级。
若确定第三指纹图像的质量等级为第二等级，则说明此次指纹识别的指纹为差指纹。便可对第三指纹图像进行指纹识别。
其中，在对第三指纹图像识别失败后，便可根据第四指纹图像确定最终的屏下指纹的识别结果。
该实施方式中，对于差指纹的最长流程时长为T 1+3*T 2+2*T 3，而相关技术中，对于差指纹的最长流程时长为2(T′ 1+T′ 2+T′ 3)，即，该实施方式对于好指纹的最长流程时长可比相关技术所需的时长缩短
Figure PCTCN2022099500-appb-000004
该方法中，通过根据第三指纹图像的质量等级，来执行对应质量等级的指纹识别过程。其中，在确定第三指纹图像的质量等级为第二等级后，便可同时进行第四时长的曝光，以在对第三指纹图像的识别过程中，同时采集第四时长的指纹数据，以更快地确定第四指纹图像。并在确定对第三指纹图像识别失败后，根据第四指纹图像确定屏下指纹的识别结果。该方法可以改善整个指纹识别流程，提升用户的使用体验，尤其可以很大程度提升差指纹的指纹识别体验。
在一个示例性实施例中，提供了一种屏下指纹识别方法，应用于终端。参考图2所示，该方法中，在持续曝光第三时长之后，可继续持续曝光第五时长。
其中，根据第三指纹图像的质量等级，执行对应质量等级的指纹识别过程，可包括：
若确定第三指纹图像的质量等级为第三等级，则根据第五指纹图像确定屏下指纹的识别结果。
其中，第三等级对应的指纹质量小于第二等级对应的指纹质量，例如第二等级对应于差指纹，则第三等级对应于极差指纹。
其中，第五指纹图像基于第一时长采集的指纹数据、第三时长采集的指纹数据和第五时长采集的指纹数据确定。
该方法中，在持续曝光第一时长和第三时长后，可继续持续曝光第五时长。然后，根据第一时长采集到的第一指纹数据、第三时长采集到的第三指纹数据以及第五时长采集到第五指纹数据，确定第五指纹图像。
其中，在确定第三指纹图像的质量等级为第三等级之后，终端便可对第五时长采集的指纹数据进行传输，并根据第五时长采集的指纹数据，以及之前的第一时长采集的指纹数据和第三时长采集的指纹数据，确定第五指纹图像，然后对第五指纹图像进行指纹识别。
若对第五指纹图像识别成功，终端便可执行对应的解锁、登录或支付等功能。若对第五指纹图像识别失败，终端便可结束此次屏下指纹识别流程，无需执行解锁、登录或支付等功能。
在一些实施方式中，
用户在解锁手机时，手机检测到屏下指纹识别操作后，便可点亮光斑，并持续曝光第一时长T 1，以使得手机的光学指纹传感器采集第一指纹数据。并且，在持续曝光第一时长之后，可继续持续曝光第三时长，以使得手机的光学指纹传感器采集第三指纹数据。并且，在持续曝光第三时长后，可继续持续曝光第五时长，以使得手机的光学指纹传感器采集第五指纹数据。
另外，光学指纹传感器采集到第一指纹数据后，便可将其传输至手机的处理器，手机的处理器便可基于上述指纹数据确定第一指纹图像。从第一指纹数据采集完成至处理器确定第一指纹图像，这段时长可记为信息处理时长T 2，此信息处理时长T 2可与目标处理时长T′ 2相同。需要说明的是，第三时长可等于信息处理时长T 2。
处理器确定第一指纹图像后，便可判断第一指纹图像的质量等级。若确定第一指纹图像的质量等级不为第一等级，光学指纹传感器便可将第三指纹数据传输至处理器。至此，处理器便得到了第一指纹数据和第三指纹数据，然后基于第三指纹数据和第一指纹数据，确定第三指纹图像。其中，从第三指纹数据采集完成至处理器确定第三指纹图像，这段时长可与上述信息处理时长T 2相同。
处理器确定第三指纹图像后，便可判断第三指纹图像的质量等级。若确定第三指纹图像的质量等级为第三等级，便可说明此次用于进行指纹识别的指纹为极差指纹。光学指纹传感器便可将第五指纹数据传输至处理器。至此，处理器便得到了第一指纹数据、第三指纹数据和第五指纹数据，然后基于第五指纹数据、第三指纹数据和第一指纹数据，确定第五指纹图像。其中，从第五指纹数据采集完成至处理器确定第五指纹图像，这段时长可与上述信息处理时长T 2相同。
处理器确定第五指纹图像后，便可基于DSP技术对第五指纹图像进行指纹识别。若确定指纹识别成功，手机便可解锁。指纹识别所需时长可记为指纹识别时长T 3。若指纹识别失败，手机便无需解锁。
该实施方式中，整个指纹识别流程所需时长为T 1+3*T 2+T 3，此时长为极差指纹的流程时长。其中，第一时长T 1可等于目标曝光时长T′ 1的1/2，指纹识别时长T 3可等于目标识别时长T′ 3减去DSP技术的优化时长T 4。即，该实施方式对于差指纹所需的最快流程时长，可比相关技术对于极差指纹所需的最慢时长缩短
Figure PCTCN2022099500-appb-000005
该方法中，通过根据第三指纹图像的质量等级，来执行对应质量等级的指纹识别过程，可以进一步改善整个指纹识别流程，提升用户的使用体验，尤其可以进一步提升极差指纹的指纹识别体验。
在一个示例性实施例中，提供了一种屏下指纹识别装置，应用于终端。该装置用于实施上述的屏下指纹识别方法。示例地，参考图3所示，该装置可包括曝光模块101、判断模块102和识别模块103，该装置在实施上述方法的过程中，
曝光模块101被配置为，检测到屏下指纹识别操作，持续曝光第一时长；其中，第一时长小于目标曝光时长；
判断模块102被配置为，判断第一指纹图像的质量等级；其中，第一指纹图像基于第一时长采集的指纹数据确定；
识别模块103被配置为，根据第一指纹图像的质量等级，执行对应质量等级的指纹识别过程。
在一个示例性实施例中，提供了一种屏下指纹识别装置，应用于终端。参考图3所示，该装置中，识别模块103被配置为：
若确定第一指纹图像的质量等级为第一等级，则对第一指纹图像进行识别；
若对第一指纹图像识别成功，则确定屏下指纹的识别结果为成功，并根据屏下指纹的识别结果执行对应应用。
在一个示例性实施例中，提供了一种屏下指纹识别装置，应用于终端。参考图3所示，该装置中，
曝光模块101被配置为，在对第一指纹图像进行识别的过程中，持续曝光第二时长；
识别模块103被配置为，所述对第一指纹图像进行识别之后，若对第一指纹图像识别失败，则根据第二指纹图像确定屏下指纹的识别结果；其中，第二指纹图像基于第二时长采集的指纹数据确定。
在一个示例性实施例中，提供了一种屏下指纹识别装置，应用于终端。参考图3所示，该装置可包括传输模块104和确定模块105。
传输模块104被配置为，对第一指纹图像识别失败之后，对第二时长采集的指纹数据进 行传输；
确定模块105被配置为，根据第二时长采集的指纹数据，确定第二指纹图像。
在一个示例性实施例中，提供了一种屏下指纹识别装置，应用于终端。参考图3所示，该装置中，
曝光模块101被配置为，持续曝光第一时长之后，持续曝光第三时长；
判断模块102被配置为，若确定第一指纹图像的质量等级不为第一等级，则判断第三指纹图像的质量等级；其中，第三指纹图像基于第一时长采集的指纹数据和第三时长采集的指纹数据确定；
所识别模块103被配置为，根据第三指纹图像的质量等级，执行对应质量等级的指纹识别过程。
在一个示例性实施例中，提供了一种屏下指纹识别装置，应用于终端。参考图3所示，该装置可包括传输模块104和确定模块105。
传输模块104被配置为，确定所述第一指纹图像的质量等级不为第一等级之后，对第三时长采集的指纹数据进行传输；
确定模块105被配置为，根据第一时长采集的指纹数据和第三时长采集的指纹数据，确定第三指纹图像。
在一个示例性实施例中，提供了一种屏下指纹识别装置，应用于终端。参考图3所示，该装置中，识别模块103被配置为：
若确定第三指纹图像的质量等级为第二等级，则对第三指纹图像进行识别；其中，第二等级对应的指纹质量小于第一等级对应的指纹质量；
若对第三指纹图像识别成功，则确定屏下指纹的识别结果为成功。
在一个示例性实施例中，提供了一种屏下指纹识别装置，应用于终端。参考图3所示，该装置中，
曝光模块101被配置为，在对第三指纹图像识别的过程中，持续曝光第四时长；
识别模块103被配置为，若对第三指纹图像识别失败，则根据第四指纹图像确定屏下指纹的识别结果；其中第四指纹图像基于第四时长采集的指纹数据确定。
在一个示例性实施例中，提供了一种屏下指纹识别装置，应用于终端。参考图3所示，该装置中可包括传输模块104和确定模块105。
传输模块104被配置为，对第三指纹图像识别失败之后，对第四时长采集的指纹数据进行传输；
确定模块105被配置为，根据第四时长采集的指纹数据，确定第四指纹图像。
在一个示例性实施例中，提供了一种屏下指纹识别装置，应用于终端。参考图3所示，该装置中，
曝光模块101被配置为，持续曝光第三时长之后，持续曝光第五时长；
识别模块103被配置为，若确定第三指纹图像的质量等级为第三等级，则根据第五指纹图像确定屏下指纹的识别结果；其中，第三等级对应的指纹质量小于第二等级对应的指纹质量，第五指纹图像基于第一时长采集的指纹数据、第三时长采集的指纹数据和第五时长采集的指纹数据确定。
在一个示例性实施例中，提供了一种屏下指纹识别装置，应用于终端。参考图3所示，该装置可包括传输模块104和确定模块105。
传输模块104被配置为，确定所述第三指纹图像的质量等级为第三等级之后，对第五时长采集的指纹数据进行传输；
确定模块105被配置为，根据第一时长采集的指纹数据、第三时长采集的指纹数据和第五时长采集的指纹数据，确定第五指纹图像。
在一个示例性实施例中，提供了一种终端。终端可以是移动电话，计算机，数字广播终端，消息收发设备，游戏控制台，平板设备，医疗设备，健身设备，个人数字助理等。
参照图4所示，终端800可以包括以下一个或多个组件：处理组件802，存储器804，电力组件806，多媒体组件808，音频组件810，输入/输出(I/O)的接口812，传感器组件814，以及通信组件816。
处理组件802通常控制终端800的整体操作，诸如与显示，电话呼叫，数据通信，相机操作和记录操作相关联的操作。处理组件802可以包括一个或多个处理器820来执行指令，以完成上述的方法的全部或部分步骤。此外，处理组件802可以包括一个或多个模块，便于处理组件802和其他组件之间的交互。例如，处理组件802可以包括多媒体模块，以方便多媒体组件808和处理组件802之间的交互。
存储器804被配置为存储各种类型的数据以支持在设备800的操作。这些数据的示例包括用于在终端800上操作的任何应用程序或方法的指令，联系人数据，电话簿数据，消息，图片，视频等。存储器804可以由任何类型的易失性或非易失性存储设备或者它们的组合实现，如静态随机存取存储器(SRAM)，电可擦除可编程只读存储器(EEPROM)，可擦除可编程只读存储器(EPROM)，可编程只读存储器(PROM)，只读存储器(ROM)，磁存储器，快闪存储器，磁盘或光盘。
电源组件806为终端800的各种组件提供电力。电源组件806可以包括电源管理***，一个或多个电源，及其他与为终端800生成、管理和分配电力相关联的组件。
多媒体组件808包括在所述终端800和用户之间的提供一个输出接口的屏幕。在一些实施例中，屏幕可以包括液晶显示器(LCD)和触摸面板(TP)。如果屏幕包括触摸面板，屏幕可以被实现为触摸屏，以接收来自用户的输入信号。触摸面板包括一个或多个触摸传感器以感测触摸、滑动和触摸面板上的手势。所述触摸传感器可以不仅感测触摸或滑动动作的边界，而且还检测与所述触摸或滑动操作相关的持续时间和压力。在一些实施例中，多媒体组件808包括一个前置摄像头和/或后置摄像头。当设备800处于操作模式，如拍摄模式或视频模式时，前置摄像头和/或后置摄像头可以接收外部的多媒体数据。每个前置摄像头和后置摄像头可以是一个固定的光学透镜***或具有焦距和光学变焦能力。
音频组件810被配置为输出和/或输入音频信号。例如，音频组件810包括一个麦克风(MIC)，当终端800处于操作模式，如呼叫模式、记录模式和语音识别模式时，麦克风被配置为接收外部音频信号。所接收的音频信号可以被进一步存储在存储器804或经由通信组件816发送。在一些实施例中，音频组件810还包括一个扬声器，用于输出音频信号。
I/O接口812为处理组件802和***接口模块之间提供接口，上述***接口模块可以是键盘，点击轮，按钮等。这些按钮可包括但不限于：主页按钮、音量按钮、启动按钮和锁定按钮。
传感器组件814包括一个或多个传感器，用于为终端800提供各个方面的状态评估。例如，传感器组件814可以检测到设备800的打开/关闭状态，组件的相对定位，例如所述组件为终端800的显示器和小键盘，传感器组件814还可以检测终端800或终端800一个组件的位置改变，用户与终端800接触的存在或不存在，终端800方位或加速/减速和终端800的温度变化。传感器组件814可以包括接近传感器，被配置用来在没有任何的物理接触时检测附近物体的存在。传感器组件814还可以包括光传感器，如CMOS或CCD图像传感器，用于在成像应用中使用。在一些实施例中，该传感器组件814还可以包括加速度传感器，陀螺仪传感器，磁传感器，压力传感器或温度传感器。
通信组件816被配置为便于终端800和其他设备之间有线或无线方式的通信。终端800可以接入基于通信标准的无线网络，如WiFi，2G或3G，或它们的组合。在一个示例性实施例中，通信组件816经由广播信道接收来自外部广播管理***的广播信号或广播相关信息。在一个示例性实施例中，所述通信组件816还包括近场通信(NFC)模块，以促进短程通信。例如，在NFC模块可基于射频识别(RFID)技术，红外数据协会(IrDA)技术，超宽带(UWB) 技术，蓝牙(BT)技术和其他技术来实现。
在示例性实施例中，终端800可以被一个或多个应用专用集成电路(ASIC)、数字信号处理器(DSP)、数字信号处理设备(DSPD)、可编程逻辑器件(PLD)、现场可编程门阵列(FPGA)、控制器、微控制器、微处理器或其他电子元件实现，用于执行上述屏下指纹识别方法。
在示例性实施例中，还提供了一种包括指令的非临时性计算机可读存储介质，例如包括指令的存储器804，上述指令可由终端800的处理器820执行以完成上述方法。例如，所述非临时性计算机可读存储介质可以是ROM、随机存取存储器(RAM)、CD-ROM、磁带、软盘和光数据存储设备等。
在一个示例性实施例中，提供了一种非临时性计算机可读存储介质，当所述存储介质中的指令由终端的处理器执行时，使得终端能够执行上述屏下指纹识别方法。
本领域技术人员在考虑说明书及实践这里公开的发明后，将容易想到本发明的其它实施方案。本申请旨在涵盖本发明的任何变型、用途或者适应性变化，这些变型、用途或者适应性变化遵循本发明的一般性原理并包括本公开未公开的本技术领域中的公知常识或惯用技术手段。说明书和实施例仅被视为示例性的，本发明的真正范围和精神由下面的权利要求指出。
应当理解的是，本发明并不局限于上面已经描述并在附图中示出的精确结构，并且可以在不脱离其范围进行各种修改和改变。本发明的范围仅由所附的权利要求来限制。
工业实用性
本公开的屏下指纹识别方法、装置、终端及存储介质中，在进行屏下指纹识别时，先曝光第一时长，根据第一时长得到的第一指纹图像的质量等级，执行对应质量等级的指纹识别过程，以确定屏下指纹的识别结果，改善整个指纹识别流程，提升用户的使用体验，尤其可以很大程度提升指纹质量较好的指纹图像的指纹识别体验。

Claims (24)

  1. 一种屏下指纹识别方法，应用于终端，其中，所述屏下指纹识别方法包括：
    检测到屏下指纹识别操作，持续曝光第一时长；其中，所述第一时长小于目标曝光时长；
    判断第一指纹图像的质量等级；其中，所述第一指纹图像基于第一时长采集的指纹数据确定；
    根据所述第一指纹图像的质量等级，执行对应质量等级的指纹识别过程。
  2. 如权利要求1所述的屏下指纹识别方法，其中，所述根据所述第一指纹图像的质量等级，执行对应质量等级的指纹识别过程，包括：
    若确定所述第一指纹图像的质量等级为第一等级，则对所述第一指纹图像进行识别；
    若对所述第一指纹图像识别成功，则确定屏下指纹的识别结果为成功，并根据屏下指纹的识别结果执行对应应用。
  3. 如权利要求2所述的屏下指纹识别方法，其中，
    所述屏下指纹识别方法包括：
    在对所述第一指纹图像进行识别的过程中，持续曝光第二时长；
    所述对所述第一指纹图像进行识别之后，所述指纹识别方法包括：
    若对所述第一指纹图像识别失败，则根据第二指纹图像确定屏下指纹的识别结果；其中，所述第二指纹图像基于所述第二时长采集的指纹数据确定。
  4. 如权利要求3所述的屏下指纹识别方法，其中，所述对所述第一指纹图像识别失败之后，所述屏下指纹识别方法包括：
    对所述第二时长采集的指纹数据进行传输，并根据所述第二时长采集的指纹数据，确定所述第二指纹图像。
  5. 如权利要求1所述的屏下指纹识别方法，其中，
    所述持续曝光第一时长之后，所述屏下指纹识别方法包括：
    持续曝光第三时长；
    所述根据所述第一指纹图像的质量等级，执行对应质量等级的指纹识别过程，包括：
    若确定所述第一指纹图像的质量等级不为第一等级，则判断第三指纹图像的质量等级；其中，所述第三指纹图像基于所述第一时长采集的指纹数据和所述第三时长采集的指纹数据确定；
    根据所述第三指纹图像的质量等级，执行对应质量等级的指纹识别过程。
  6. 如权利要求5所述的屏下指纹识别方法，其中，所述确定所述第一指纹图像的质量等 级不为第一等级之后，所述屏下指纹识别方法包括：
    对所述第三时长采集的指纹数据进行传输，并根据所述第一时长采集的指纹数据和所述第三时长采集的指纹数据，确定所述第三指纹图像。
  7. 如权利要求5所述的屏下指纹识别方法，其中，所述根据所述第三指纹图像的质量等级，执行对应质量等级的指纹识别过程，包括：
    若确定所述第三指纹图像的质量等级为第二等级，则对所述第三指纹图像进行识别；其中，所述第二等级对应的指纹质量小于所述第一等级对应的指纹质量；
    若对所述第三指纹图像识别成功，则确定屏下指纹的识别结果为成功。
  8. 如权利要求7所述的屏下指纹识别方法，其中，
    所述屏下指纹识别方法包括：
    在对所述第三指纹图像识别的过程中，持续曝光第四时长；
    所述对所述第三指纹图像进行识别之后，所述屏下指纹识别方法包括：
    若对所述第三指纹图像识别失败，则根据第四指纹图像确定屏下指纹的识别结果；其中，所述第四指纹图像基于所述第四时长采集的指纹数据确定。
  9. 如权利要求8所述的屏下指纹识别方法，其中，所述对所述第三指纹图像识别失败之后，所述屏下指纹识别方法包括：
    对所述第四时长采集的指纹数据进行传输，并根据所述第四时长采集的指纹数据，确定所述第四指纹图像。
  10. 如权利要求7所述的屏下指纹识别方法，其中，
    所述持续曝光第三时长之后，所述屏下指纹识别方法包括：
    持续曝光第五时长；
    所述根据所述第三指纹图像的质量等级，执行对应质量等级的指纹识别过程，包括：
    若确定所述第三指纹图像的质量等级为第三等级，则根据第五指纹图像确定屏下指纹的识别结果；其中，所述第三等级对应的指纹质量小于所述第二等级对应的指纹质量，所述第五指纹图像基于所述第一时长采集的指纹数据、所述第三时长采集的指纹数据和所述第五时长采集的指纹数据确定。
  11. 如权利要求10所述的屏下指纹识别方法，其中，所述确定所述第三指纹图像的质量等级为第三等级之后，所述屏下指纹识别方法包括：
    对所述第五时长采集的指纹数据进行传输，并根据所述第一时长采集的指纹数据、所述第三时长采集的指纹数据和所述第五时长采集的指纹数据，确定所述第五指纹图像。
  12. 一种屏下指纹识别装置，应用于终端，其中，所述屏下指纹识别装置包括：
    曝光模块被配置为，检测到屏下指纹识别操作，持续曝光第一时长；其中，所述第一时长小于目标曝光时长；
    判断模块被配置为，判断第一指纹图像的质量等级；其中，所述第一指纹图像基于第一时长采集的指纹数据确定；
    识别模块被配置为，根据所述第一指纹图像的质量等级，执行对应质量等级的指纹识别过程。
  13. 如权利要求12所述的屏下指纹识别装置，其中，所述识别模块被配置为：
    若确定所述第一指纹图像的质量等级为第一等级，则对所述第一指纹图像进行识别；
    若对所述第一指纹图像识别成功，则确定屏下指纹的识别结果为成功，并根据屏下指纹的识别结果执行对应应用。
  14. 如权利要求13所述的屏下指纹识别装置，其中，
    所述曝光模块被配置为，在对所述第一指纹图像进行识别的过程中，持续曝光第二时长；
    所述识别模块被配置为，所述对所述第一指纹图像进行识别之后，若对所述第一指纹图像识别失败，则根据第二指纹图像确定屏下指纹的识别结果；其中，所述第二指纹图像基于所述第二时长采集的指纹数据确定。
  15. 如权利要求14所述的屏下指纹识别装置，其中，所述屏下指纹识别装置包括传输模块和确定模块，
    所述传输模块被配置为，所述对所述第一指纹图像识别失败之后，对所述第二时长采集的指纹数据进行传输；
    所述确定模块被配置为，根据所述第二时长采集的指纹数据，确定所述第二指纹图像。
  16. 如权利要求12所述的屏下指纹识别装置，其中，
    所述曝光模块被配置为，所述持续曝光第一时长之后，持续曝光第三时长；
    所述判断模块被配置为，若确定所述第一指纹图像的质量等级不为第一等级，则判断第三指纹图像的质量等级；其中，所述第三指纹图像基于所述第一时长采集的指纹数据和所述第三时长采集的指纹数据确定；
    所述识别模块被配置为，根据所述第三指纹图像的质量等级，执行对应质量等级的指纹识别过程。
  17. 如权利要求16所述的屏下指纹识别装置，其中，所述屏下指纹识别装置包括传输模块和确定模块，
    所述传输模块被配置为，所述确定所述第一指纹图像的质量等级不为第一等级之后，对所述第三时长采集的指纹数据进行传输；
    所述确定模块被配置为，根据所述第一时长采集的指纹数据和所述第三时长采集的指纹数据，确定所述第三指纹图像。
  18. 如权利要求16所述的屏下指纹识别装置，其中，所述识别模块被配置为：
    若确定所述第三指纹图像的质量等级为第二等级，则对所述第三指纹图像进行识别；其中，所述第二等级对应的指纹质量小于所述第一等级对应的指纹质量；
    若对所述第三指纹图像识别成功，则确定屏下指纹的识别结果为成功。
  19. 如权利要求18所述的屏下指纹识别装置，其中，
    所述曝光模块被配置为，在对所述第三指纹图像识别的过程中，持续曝光第四时长；
    所述识别模块被配置为，若对所述第三指纹图像识别失败，则根据第四指纹图像确定屏下指纹的识别结果；其中，所述第四指纹图像基于所述第四时长采集的指纹数据确定。
  20. 如权利要求19所述的屏下指纹识别装置，其中，所述屏下指纹识别装置包括传输模块和确定模块，
    所述传输模块被配置为，所述对所述第三指纹图像识别失败之后，对所述第四时长采集的指纹数据进行传输；
    所述确定模块被配置为，根据所述第四时长采集的指纹数据，确定所述第四指纹图像。
  21. 如权利要求18所述的屏下指纹识别装置，其中，
    所述曝光模块被配置为，所述持续曝光第三时长之后，持续曝光第五时长；
    所述识别模块被配置为，若确定所述第三指纹图像的质量等级为第三等级，则根据第五指纹图像确定屏下指纹的识别结果；其中，所述第三等级对应的指纹质量小于所述第二等级对应的指纹质量，所述第五指纹图像基于所述第一时长采集的指纹数据、所述第三时长采集的指纹数据和所述第五时长采集的指纹数据确定。
  22. 如权利要求21所述的屏下指纹识别装置，其中，所述屏下指纹识别装置包括传输模块和确定模块，
    所述传输模块被配置为，所述确定所述第三指纹图像的质量等级为第三等级之后，对所述第五时长采集的指纹数据进行传输；
    所述确定模块被配置为，根据所述第一时长采集的指纹数据、所述第三时长采集的指纹数据和所述第五时长采集的指纹数据，确定所述第五指纹图像。
  23. 一种终端，其中，所述终端包括：
    处理器；
    用于存储所述处理器可执行指令的存储器；
    其中，所述处理器被配置为执行如权利要求1-11任一项所述的屏下指纹识别方法。
  24. 一种非临时性计算机可读存储介质，其中，当所述存储介质中的指令由终端的处理器执行时，使得所述终端能够执行如权利要求1-11任一项所述的屏下指纹识别方法。
PCT/CN2022/099500 2022-06-17 2022-06-17 一种屏下指纹识别方法、装置、终端及存储介质 WO2023240608A1 (zh)

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CN109885998A (zh) * 2019-01-24 2019-06-14 Oppo广东移动通信有限公司 指纹解锁方法及相关设备
US20190197287A1 (en) * 2017-12-21 2019-06-27 Lg Display Co., Ltd. Fingerprint Recognition Device and Display Device and Mobile Terminal Using Fingerprint Recognition Device
US20210150178A1 (en) * 2019-05-22 2021-05-20 Shenzhen GOODIX Technology Co., Ltd. Method for biometric identification, fingerprint identification apparatus and electronic device
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