WO2018205177A1 - Procédé et appareil d'appariement d'empreintes digitales, et dispositif électronique - Google Patents

Procédé et appareil d'appariement d'empreintes digitales, et dispositif électronique Download PDF

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Publication number
WO2018205177A1
WO2018205177A1 PCT/CN2017/083847 CN2017083847W WO2018205177A1 WO 2018205177 A1 WO2018205177 A1 WO 2018205177A1 CN 2017083847 W CN2017083847 W CN 2017083847W WO 2018205177 A1 WO2018205177 A1 WO 2018205177A1
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WIPO (PCT)
Prior art keywords
fingerprint
fingerprint image
matching
module
image
Prior art date
Application number
PCT/CN2017/083847
Other languages
English (en)
Chinese (zh)
Inventor
庞树
钟华
叶金春
皮波
Original Assignee
深圳市汇顶科技股份有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Application filed by 深圳市汇顶科技股份有限公司 filed Critical 深圳市汇顶科技股份有限公司
Priority to CN201780000438.1A priority Critical patent/CN107278309A/zh
Priority to PCT/CN2017/083847 priority patent/WO2018205177A1/fr
Publication of WO2018205177A1 publication Critical patent/WO2018205177A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12—Fingerprints or palmprints
    • G06V40/13—Sensors therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31—User authentication
    • G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12—Fingerprints or palmprints
    • G06V40/1365—Matching; Classification
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M1/00—Substation equipment, e.g. for use by subscribers
    • H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724—User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
    • H04M1/72463—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions to restrict the functionality of the device
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M1/00—Substation equipment, e.g. for use by subscribers
    • H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
    • H04M1/724—User interfaces specially adapted for cordless or mobile telephones
    • H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
    • H04M1/72463—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions to restrict the functionality of the device
    • H04M1/724631—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions to restrict the functionality of the device by limiting the access to the user interface, e.g. locking a touch-screen or a keypad

Definitions

  • the present application relates to the field of biometrics, and in particular, to a fingerprint matching method, device, and electronic device.
  • fingerprint recognition technology is widely used in electronic devices such as mobile phones and tablet computers. Fingerprint recognition has become one of the main ways of unlocking mobile phones and mobile payment, which brings great life to people. Convenience; the fingerprint authentication process is as follows: First, the user to be authenticated presses the finger to the fingerprint collection area of the fingerprint sensor, and then the fingerprint sensor will capture a frame of the fingerprint image and match the fingerprint image that has been pre-stored, and if the match is successful, the identity is determined as identity. The authentication passed, otherwise the identity authentication failed.
  • the user may not pass the fingerprint collected by the fingerprint sensor after performing a pressing operation.
  • Fingerprint authentication the user needs to perform multiple pressing operations to pass the fingerprint authentication. That is, when the fingerprint quality of the user's finger is poor, the false authentication rate (FRR) of the fingerprint authentication is high; wherein the rejection rate is the same finger collection.
  • the plurality of fingerprint images are determined to be the proportion of non-identical fingers when fingerprint matching is performed.
  • the high false rejection rate of fingerprint authentication directly leads to an increase in the probability of normal fingerprint authentication failure of legitimate users. Usually, in this case, the user needs to perform multiple press operations to pass the authentication, which will seriously reduce the user experience.
  • the purpose of some embodiments of the present application is to provide a fingerprint matching method, device, and electronic device, which can collect and match a user fingerprint image multiple times during a single pressing process of the user, so as to avoid poor fingerprint quality of the user as in the prior art.
  • a fingerprint matching method, device, and electronic device which can collect and match a user fingerprint image multiple times during a single pressing process of the user, so as to avoid poor fingerprint quality of the user as in the prior art.
  • An embodiment of the present application provides a fingerprint matching method, including: collecting a fingerprint image; determining whether the collected fingerprint image matches a preset fingerprint image; and when the collected fingerprint image and the preset fingerprint image are not When matching, it is detected whether the finger has left the fingerprint collection area and the number of matching failures is greater than a preset matching number; when it is determined that the finger has not left the fingerprint collection area and the number of matching failures is less than or equal to the preset matching number, the fingerprint is re-acquired. image.
  • the embodiment of the present invention further provides a fingerprint matching device, comprising: a fingerprint sensor, configured to collect a fingerprint image; and a matching module, configured to determine whether the collected fingerprint image matches a preset fingerprint image; and the fingerprint sensor further
  • the detecting module is further configured to determine whether the number of times the matching fails is greater than a preset matching number; wherein, when determining that the finger has not left the fingerprint collecting area and the number of matching failures is less than or equal to a preset When the number of matches is matched, the fingerprint image is re-acquired.
  • the embodiment of the present application further provides an electronic device, including the fingerprint matching device described above.
  • the fingerprint image is re-acquired. That is, in the process of one press of the user, the user fingerprint image can be collected and matched multiple times; in the prior art, when the fingerprint quality of the user is poor, the user needs to press the fingerprint multiple times to pass the fingerprint authentication; thereby reducing the rejection of the fingerprint authentication.
  • the true rate improves the user experience.
  • the method further includes: Determining whether the quality of the collected fingerprint image reaches a preset condition; when the quality of the collected fingerprint image does not reach the preset condition, detecting whether the finger has left the fingerprint collection area, and if not yet leaving the fingerprint collection area, re-acquiring the fingerprint image; When the quality of the collected fingerprint image reaches a preset condition, or when it is detected that the finger has left the fingerprint collection area, it is determined whether the captured fingerprint image matches the preset fingerprint image.
  • the fingerprint image is re-acquired to improve the success rate of the fingerprint matching, that is, the rejection rate of the fingerprint authentication can be further reduced.
  • the method before the fingerprint image is re-acquired, the method further includes: adjusting the fingerprint collection parameter; and re-collecting the fingerprint image, specifically: collecting the fingerprint image based on the adjusted fingerprint collection parameter.
  • the fingerprint collection parameters are adjusted before the fingerprint image is re-acquired, and the fingerprint image is acquired based on the adjusted fingerprint collection parameters, so that a higher quality fingerprint image can be obtained.
  • adjusting the fingerprint collection parameter specifically includes: adjusting any one of the following parameters or any combination thereof: an integration time of the fingerprint sensor, and a gain of the fingerprint sensor.
  • This embodiment provides a specific type of fingerprint collection parameters.
  • the fingerprint image is acquired by an optical fingerprint sensor
  • the plurality of parameters further include: the intensity of the light source of the optical fingerprint sensor.
  • This embodiment additionally provides an adjustable parameter for the optical fingerprint sensor.
  • the preset condition is that the sharpness of the fingerprint image is greater than the preset sharpness threshold; wherein the sharpness of the fingerprint image is calculated according to the maximum pixel value, the minimum pixel value, and the average pixel value of the fingerprint image.
  • collecting the fingerprint image specifically includes: collecting a multi-frame fingerprint image; determining whether the collected fingerprint image matches the preset fingerprint image, specifically: acquiring according to the collected multi-frame fingerprint image. A frame of fingerprint image for matching; matching the acquired fingerprint image with a preset fingerprint image.
  • a matching method is provided when the collected fingerprint image is a multi-frame, and a fingerprint image for matching is obtained according to the multi-frame fingerprint image, which can improve the quality of the fingerprint image used for matching, thereby improving The fingerprint matching success rate.
  • acquiring a frame of the fingerprint image for matching according to the collected multi-frame fingerprint image specifically: converting the multi-frame fingerprint image into a frame of the fingerprint image as a frame of the fingerprint image for matching; or from the multi-frame fingerprint image A frame of fingerprint image is selected as a frame of fingerprint image for matching.
  • This embodiment provides a specific method for acquiring a frame of a fingerprint image for matching according to the collected multi-frame fingerprint image.
  • FIG. 1 is a specific flowchart of a fingerprint matching method according to a first embodiment of the present application
  • FIG. 2 is a specific flowchart of a fingerprint matching method according to a second embodiment of the present application.
  • FIG. 3 is a specific flowchart of a fingerprint matching method according to a third embodiment of the present application.
  • FIG. 4 is a specific flowchart of a fingerprint matching method according to a fourth embodiment of the present application.
  • FIG. 5 is a block diagram showing a fingerprint matching apparatus according to a fifth embodiment of the present application.
  • FIG. 6 is a block diagram showing a fingerprint matching device in a sixth embodiment of the present application.
  • FIG. 7 is a block diagram showing a fingerprint matching apparatus after the quality determination module in the sixth embodiment of the present application.
  • FIG. 8 is a block diagram showing a fingerprint matching apparatus according to a seventh embodiment of the present application.
  • FIG. 9 is a schematic block diagram of a fingerprint matching apparatus after refining a parameter adjustment module according to a seventh embodiment of the present application.
  • FIG. 10 is a block diagram showing a fingerprint matching device of a parameter adjustment module according to a seventh embodiment of the present application, further including a light source adjustment submodule;
  • Figure 11 is a block diagram showing a fingerprint matching apparatus in an eighth embodiment of the present application.
  • the first embodiment of the present invention relates to a fingerprint matching method, which is applied to an electronic device including a fingerprint module, such as a mobile phone, a tablet computer, etc., wherein the fingerprint module may be a capacitive fingerprint sensor, an optical fingerprint sensor, or the like.
  • a fingerprint module such as a mobile phone, a tablet computer, etc.
  • the fingerprint module may be a capacitive fingerprint sensor, an optical fingerprint sensor, or the like.
  • FIG. 1 The specific process of the fingerprint matching method in this embodiment is shown in FIG. 1 .
  • step 101 a fingerprint image is acquired.
  • the user when the user needs to perform fingerprint authentication, for example, when the screen is unlocked by the fingerprint or the application in the electronic device requests identity authentication (for example, when using Alipay to request fingerprint payment), the user presses the fingerprint with the finger. In the area, the fingerprint module collects the fingerprint image of the user.
  • Step 102 Determine whether the collected fingerprint image matches the preset fingerprint image. If yes, go to step 103; if no, go to step 104.
  • the user has previously collected and stored a fingerprint image of one or more fingers in the electronic device, which is referred to herein as a preset fingerprint image; in step 102, the captured fingerprint image of the user is collected. Matches the preset fingerprint image. If there is a fingerprint image matching the fingerprint image of the collected user in the electronic device, the matching is successful, and the fingerprint authentication is passed, and the process proceeds to step 103; otherwise, the matching fails, and the fingerprint authentication fails, and the process proceeds to step 104.
  • step 103 the identity authentication is successful.
  • the device can be used normally after being unlocked, or the fingerprint payment is completed.
  • step 104 it is determined whether the finger has left the fingerprint collection area. If yes, go to step 105; if no, go to step 106.
  • the fingerprint module determines whether the user's finger has left the fingerprint collection area. If the user's finger has left the fingerprint collection area, it determines that the identity authentication has failed (ie, proceeds to step 105); if the user's finger has not left the fingerprint collection area, the matching continues. The number of failures is judged (ie, proceeds to step 106).
  • step 105 the identity authentication fails.
  • the fingerprint authentication fails and the user's finger has left the fingerprint collection area, it is determined that the identity authentication fails, and the user cannot complete the operation on the electronic device, for example, the device cannot be unlocked, the fingerprint payment fails, and the like.
  • Step 106 Determine whether the number of matching failures is greater than a preset number of matching times. If yes, proceed to step 105. If not, proceed to step 101.
  • the number of matches may be preset in the electronic device, which is referred to herein as a preset.
  • the number of matches; the number of matching failures is accumulated when fingerprint image matching is performed.
  • the number of failed fingerprint matching failures is greater than the preset matching number, it indicates that the current user is likely to be the owner of the non-electronic device (ie, the user identity is illegal).
  • the identity authentication fails (ie, proceeds to step 105); when the fingerprint When the number of image matching failures is less than or equal to the preset number of matches, the fingerprint image is re-acquired.
  • the fingerprint image is re-acquired and the fingerprint image is matched until the user's finger has left the fingerprint collection area or the number of matching failures is greater than the preset matching number, that is, until the electronic device determines that the identity authentication fails. If the fingerprint quality of the user's finger is poor, the matching fails. However, during the pressing process of the user's finger, the fingerprint image continuously collected by the fingerprint module will become more and more clear. Therefore, when the fingerprint image is re-acquired for matching, the success rate will gradually improve.
  • the fingerprint image is often collected immediately when the user's finger just presses the fingerprint collection area, which may result in the quality of the collected fingerprint image is not high; however, once During the pressing process, the user's finger will gradually contact the fingerprint collection area (the contact area increases), so the fingerprint image continuously collected by the fingerprint module will become more and more clear.
  • step 104 and step 106 the actual execution order of step 104 and step 106 is not limited. In this embodiment, it may be determined whether the number of matching failures is greater than a preset matching number, and whether the finger has left the fingerprint. The collection area is judged.
  • the fingerprint image is re-acquired. That is, the user fingerprint image can be collected and matched multiple times during a single pressing process of the user; to avoid fingerprint authentication when multiple fingerprints are required when the fingerprint quality of the user is poor in the prior art; thereby reducing fingerprint authentication.
  • the rejection rate improves the user experience.
  • the second embodiment of the present application relates to a fingerprint matching method.
  • the present embodiment is improved on the basis of the first embodiment.
  • the main improvement is that the quality of the fingerprint image is increased before the captured fingerprint image is matched. Judge.
  • FIG. 2 The specific process of the fingerprint matching method in this embodiment is shown in FIG. 2 .
  • the step 201 is the same as the step 101.
  • the step 204 to the step 208 are substantially the same as the step 102 to the step 106, and are not described here.
  • the difference is that in the embodiment, step 202 and step 203 are added, as follows: :
  • Step 202 Determine whether the quality of the collected fingerprint image reaches a preset condition. If yes, go to step 204; if no, go to step 203.
  • the fingerprint module collects the fingerprint image of the user, it is determined whether the quality of the fingerprint image reaches a preset condition; the preset condition is that the definition S of the fingerprint image is greater than the preset definition threshold. That is, it is determined whether the definition S of the fingerprint image is greater than a preset definition threshold; when the definition S of the fingerprint image is greater than a preset definition threshold, the quality of the collected fingerprint image reaches a preset condition, and then the fingerprint is The image is matched (ie, proceeds to step 204); when the sharpness S of the fingerprint image is less than or equal to the preset sharpness threshold, it indicates that the quality of the collected fingerprint image does not reach the preset condition, and then detects whether the finger is away (ie, enters Step 203).
  • the preset condition is that the definition S of the fingerprint image is greater than the preset definition threshold. That is, it is determined whether the definition S of the fingerprint image is greater than a preset definition threshold; when the definition S of the fingerprint image is greater than a preset definition threshold,
  • one frame of the fingerprint image contains N pixel values (determined by the resolution of the fingerprint module, for example, the resolution is 200 pixels * 200 pixels, then one frame of the fingerprint image contains 200 * 200 pixel value data, which is a 200 Row, matrix of 200 columns).
  • the sharpness threshold can be obtained through actual test statistics, and the embodiment does not impose any limitation on this.
  • Step 203 Detect whether the finger has left the fingerprint collection area. If yes, go to step 204, if no, go to step 201.
  • the fingerprint module detects whether the user's finger has left the fingerprint collection area, and if it detects The finger has not left the fingerprint collection area, and proceeds to step 201 (ie, corresponding to step 101 in the first embodiment) to re-acquire the fingerprint image, and during the pressing process of the user's finger, the fingerprint image continuously collected by the fingerprint module becomes clearer and clearer. That is, the quality of the captured fingerprint image will be higher and higher, and the fingerprint image will be matched after the fingerprint image quality reaches the preset condition.
  • step 204 If it is detected that the user's finger has left the fingerprint collection area, although the quality of the collected fingerprint image does not reach the preset condition, that is, the success rate of the fingerprint image matching may not be high, but since the finger has left the fingerprint collection area and cannot be re-acquired, Still matching the currently collected fingerprint image (although the success rate may not be high, but you can try it; if you give up directly, it must be identity authentication failure), that is, proceed to step 204 (corresponding to step 102 in the first embodiment) .
  • the fingerprint image is re-acquired to improve the success rate of fingerprint matching, which can be further reduced.
  • the rejection rate of fingerprint authentication is a condition in which the quality of the collected fingerprint image does not reach the preset condition.
  • the third embodiment of the present invention relates to a fingerprint matching method.
  • the present embodiment is improved on the basis of the second embodiment.
  • the main improvement is that in the embodiment, the fingerprint collection parameters are adjusted.
  • step 301 to 308 are substantially the same as the steps 201 to 208, and are not described here again. The difference is that step 309 is added, as follows:
  • step 309 the fingerprint collection parameters are adjusted.
  • the fingerprint collection parameters are adjusted according to the currently collected fingerprint image. Specifically, in two cases, the method may go to step 309: in the first case, when the collected fingerprint image quality does not reach the preset condition and the user's finger has not left the fingerprint collection area, the fingerprint is collected according to the currently collected fingerprint image. The parameter is adjusted (that is, in FIG.
  • step 309 when the determination result of step 303 is "NO”, the process proceeds to step 309); in the second case, when the user's finger has not left the fingerprint collection area and the number of matching failures is less than or equal to the preset When the number of matches is matched, the fingerprint collection parameters are adjusted according to the currently collected fingerprint image (that is, in FIG. 3, when the determination result of step 308 is "NO", the process proceeds to step 309). Then, based on the adjusted fingerprint acquisition parameters, the fingerprint image is acquired (ie, proceeding to step 301), so that a high quality fingerprint image of the current finger can be acquired.
  • the embodiment is not limited thereto, and may only be allowed to enter step 309 in the first case, or may be allowed to enter step 309 only in the second case, and the specific situation may be set according to actual needs.
  • the embodiment may also be an improvement on the basis of the first embodiment. Please refer to FIG. 1 , that is, only when the judgment result of step 106 is no (the user's finger has not left the fingerprint collection area and the number of matching failures is less than or Equal to the preset number of matches), adjust the fingerprint acquisition parameters, and re-acquire the fingerprint image after adjustment.
  • the specific manner of adjusting the fingerprint collection parameter is: first, calculating the fingerprint collection parameter of the fingerprint module according to the currently collected fingerprint image: if the calculated fingerprint collection parameter is different from the fingerprint collection parameter of the fingerprint module collecting the current fingerprint image, Replace the finger with the calculated fingerprint acquisition parameter
  • the pattern module collects the fingerprint collection parameters of the current fingerprint image; if the two are the same, the fingerprint collection parameters need not be reset.
  • any one of the following parameters or any combination thereof is adjusted: an integration time of the capacitive fingerprint sensor, a gain of the capacitive fingerprint sensor; when the fingerprint module is an optical fingerprint sensor, Adjusting any one of the following parameters or any combination thereof: the integration time of the optical fingerprint sensor, the gain of the optical fingerprint sensor, and the intensity of the light source of the optical fingerprint sensor; wherein the integration time of the optical fingerprint sensor may also be referred to as an optical fingerprint sensor Exposure time.
  • the specific adjustment mode of the parameter is described by taking the fingerprint module as a capacitive fingerprint sensor as an example: if the average pixel value of the fingerprint image is too small, the integration time of the capacitive fingerprint sensor is increased, or the gain is increased, or increased. If the average pixel value of the fingerprint image is too large, shorten the integration time of the capacitive fingerprint sensor, or increase the gain, or shorten the integration time while reducing the gain.
  • the present embodiment adjusts the fingerprint collection parameters according to the current situation of the user's fingerprint, and collects fingerprint images based on the adjusted fingerprint collection parameters, so as to obtain a high-quality fingerprint image. It should be noted that the present embodiment can also be used as an improvement on the basis of the first embodiment, and the same technical effects can be achieved.
  • the fingerprint matching method of the fourth embodiment of the present application is a refinement of the first embodiment.
  • the main refinement is that in the embodiment, a method for acquiring a fingerprint image for matching is provided.
  • the specific process of the fingerprint matching method in this embodiment is shown in FIG. 4 .
  • the steps 403 to 406 are substantially the same as the steps 103 to 106, and are not described here again. The difference is:
  • step 401 a fingerprint image is acquired.
  • the fingerprint module may collect a frame of the fingerprint image and use the fingerprint image as a matching image; or may collect the multi-frame fingerprint image and then acquire the multi-frame fingerprint image. For matching fingerprint images.
  • a fingerprint module is used to collect a multi-frame fingerprint image for description.
  • step 402 determines whether the collected fingerprint image matches the preset fingerprint image, and specifically includes:
  • Sub-step 4021 Acquire a frame of fingerprint image for matching according to the collected multi-frame fingerprint image.
  • the specific conversion manner is, for example, if three frame fingerprint images are collected, each frame fingerprint
  • the image includes N pixel points and each pixel point has one pixel value, and an average pixel value of three pixel values of the same pixel point in the three-frame fingerprint image is calculated, and the calculated average pixel value of each pixel point is taken as one frame.
  • the fingerprint image of the third frame is selected as one frame of the fingerprint image for matching, but is not limited thereto, and may also be based on the multi-frame fingerprint image. To select an amount, which select the optimal fingerprint image quality (i.e., the highest resolution fingerprint images) of a fingerprint image as the one used for matching.
  • Sub-step 4022 determining whether the acquired fingerprint image matches the preset fingerprint image. If yes, go to step 403; if no, go to step 404.
  • the captured one-frame fingerprint image for matching is matched with the preset fingerprint image.
  • the fingerprint authentication is passed, and the process proceeds to step 403, where the identity authentication is successful, and the user can perform the next step.
  • the operation for example, unlocking the device, completing the fingerprint payment, and the like. Otherwise, the matching fails, the fingerprint authentication fails, and the process proceeds to step 404.
  • the present embodiment provides a matching method when the collected fingerprint image is multi-frame, and obtains a frame of fingerprint image for matching according to the multi-frame fingerprint image, which can be improved for matching.
  • the quality of the fingerprint image thus improves the success rate of fingerprint matching.
  • the embodiment can also be refinement based on the second embodiment or the third embodiment, and the same technical effects can be achieved.
  • a fifth embodiment of the present application relates to a fingerprint matching device, which is applied to an electronic device such as a mobile phone, a tablet computer, or the like.
  • the fingerprint matching device includes a fingerprint module 1 and a matching module 2 and a judging module 3.
  • the fingerprint module 1 is used to collect fingerprint images.
  • the matching module 2 is configured to determine whether the collected fingerprint image matches the preset fingerprint image.
  • the determining module 3 is configured to detect whether the finger has left the fingerprint collection area; the determining module 3 is further configured to determine whether the number of matching failures is greater than a preset matching number.
  • the fingerprint module 1 re-acquires the fingerprint image when the judging module 3 determines that the finger has not left the fingerprint collection area and the number of matching failures is less than or equal to the preset matching number.
  • the fingerprint module 1 collects the user fingerprint image, and sends the collected fingerprint image to the matching module 2, and the matching module 2 determines the collected fingerprint image and the preset fingerprint image. Whether it is matched; when it is determined that the collected fingerprint image does not match the preset fingerprint image, the determining module 3 detects whether the user's finger has left the fingerprint collection area; When the fingerprint of the user has not left the fingerprint collection area, the determination module 3 determines whether the number of matching failures is greater than the preset matching number. If the number of matching failures is less than or equal to the preset matching number, the fingerprint module 1 re-acquires the fingerprint image.
  • the fingerprint module 1 when the fingerprint matching device is applied to the electronic device, the fingerprint module 1 can be a capacitive fingerprint sensor or an optical fingerprint sensor, and the functions of the matching module 2 and the determining module 3 can be implemented by the processor, but are not limited thereto.
  • the fingerprint image is re-acquired. That is, in the process of one press of the user, the user fingerprint image can be collected and matched multiple times; in the prior art, when the fingerprint quality of the user is poor, the user needs to press the fingerprint multiple times to pass the fingerprint authentication; thereby reducing the rejection of the fingerprint authentication.
  • the true rate improves the user experience.
  • this embodiment is an apparatus embodiment corresponding to the first embodiment, and this embodiment can be implemented in cooperation with the first embodiment.
  • the related technical details mentioned in the first embodiment are still effective in this embodiment, and are not described herein again in order to reduce repetition. Accordingly, the related art details mentioned in the embodiment can also be applied to the first embodiment.
  • the sixth embodiment of the present application relates to a fingerprint matching apparatus.
  • the present embodiment is an improvement based on the fifth embodiment.
  • the main improvement is that, in this embodiment, referring to FIG. 6, the fingerprint matching apparatus further includes quality judgment. Module 4.
  • the quality judging module 4 is configured to judge whether the quality of the collected fingerprint image reaches a preset condition.
  • the determination module 3 detects whether the finger has left the fingerprint collection area; if the determination module 3 determines that the finger has not left the fingerprint collection area, the fingerprint module 1 is re- Collecting fingerprint images; when quality judgment mode The block 4 determines whether the quality of the collected fingerprint image reaches a preset condition, or when the determining module 3 detects that the finger has left the fingerprint collection area, the matching module 2 determines whether the collected fingerprint image matches the preset fingerprint image.
  • the quality judgment module 4 includes a definition calculation sub-module 41 and a definition judgment sub-module 42.
  • the definition calculation sub-module 41 is configured to calculate the sharpness of the fingerprint image according to the maximum pixel value, the minimum pixel value, and the average pixel value of the fingerprint image;
  • the definition determination sub-module 42 is configured to determine whether the resolution of the fingerprint image is greater than a preset. Sharpness threshold. Specifically, when it is determined that the resolution of the fingerprint image is greater than the preset definition threshold, the quality of the collected fingerprint image reaches the preset condition; otherwise, the quality of the collected fingerprint image does not reach the preset condition.
  • the fingerprint image is re-acquired to improve the success rate of fingerprint matching, which can be further reduced.
  • the rejection rate of fingerprint authentication is a condition in which the quality of the collected fingerprint image does not reach the preset condition.
  • the present embodiment can be implemented in cooperation with the second embodiment.
  • the technical details mentioned in the second embodiment are still effective in this embodiment, and the technical effects that can be achieved in the second embodiment can also be implemented in the embodiment. To reduce the repetition, details are not described herein again. Accordingly, the related art details mentioned in the embodiment can also be applied to the second embodiment.
  • the seventh embodiment of the present application relates to a fingerprint matching apparatus.
  • the present embodiment is an improvement based on the sixth embodiment.
  • the main improvement is that, in this embodiment, referring to FIG. 8, the fingerprint matching apparatus further includes parameter adjustment. Module 5.
  • the parameter adjustment module 5 is configured to adjust the fingerprint collection parameters before the fingerprint module reacquires the fingerprint image.
  • the parameter adjustment module 5 adjusts the fingerprint collection parameters according to the currently collected fingerprint image, and the fingerprint module 1 is configured to re-acquire the fingerprint image based on the adjusted fingerprint collection parameters.
  • the parameter adjustment module 5 includes a time adjustment sub-module 51 and a gain adjustment sub-module 52 .
  • the time adjustment sub-module 51 is configured to adjust the integration time of the fingerprint module 1 ;
  • the gain adjustment sub-module 52 is configured to adjust the gain of the fingerprint module 1 .
  • the parameter adjustment module 5 further includes a light source adjustment sub-module 53 for adjusting the intensity of the light source.
  • the fingerprint collection parameters are adjusted according to the current situation of the user's fingerprint, and the fingerprint image is acquired based on the adjusted fingerprint collection parameters, so that a high-quality fingerprint image can be obtained.
  • the present embodiment can be implemented in cooperation with the third embodiment.
  • the technical details mentioned in the third embodiment are still effective in this embodiment, and the technical effects that can be achieved in the third embodiment can also be implemented in this embodiment. To reduce repetition, details are not described herein again. Accordingly, the related art details mentioned in the embodiment can also be applied to the third embodiment.
  • the ninth embodiment of the present invention relates to a fingerprint matching device.
  • This embodiment is a refinement of the fifth embodiment.
  • the main refinement is that, in this embodiment, referring to FIG. 11, the fingerprint module 1 collects a multi-frame fingerprint.
  • the image matching module 2 includes a fingerprint acquisition sub-module 21 and a fingerprint matching sub-module 22.
  • the fingerprint acquisition sub-module 21 is configured to acquire a frame of fingerprint image for matching according to the collected multi-frame fingerprint image. Specifically, the fingerprint acquisition sub-module 21 can collect multiple frames collected by the fingerprint module 1 The fingerprint image is converted into a frame of fingerprint image as a frame of fingerprint image for matching, or the fingerprint acquisition sub-module 21 selects a frame of fingerprint image from the multi-frame fingerprint image collected by the fingerprint module 1 as a frame of fingerprint image for matching.
  • the fingerprint matching sub-module 22 is configured to match the acquired one-frame fingerprint image for matching with a preset fingerprint image.
  • the fingerprint module collects multiple frames of fingerprint images
  • the specific implementation manner of the matching module is provided. It should be noted that the present embodiment can also be used as the refinement of the fingerprint matching device according to any one of the sixth embodiment to the eighth embodiment, and the same technical effects can be achieved.
  • the present embodiment can be implemented in cooperation with the fourth embodiment.
  • the technical details mentioned in the fourth embodiment are still effective in this embodiment.
  • the technical effects that can be achieved in the fourth embodiment can also be implemented in the embodiment. To reduce the repetition, details are not described herein again. Accordingly, the related art details mentioned in the embodiment can also be applied to the fourth embodiment.
  • the ninth embodiment of the present application relates to an electronic device, such as a mobile phone, a tablet computer, or the like.
  • the electronic device includes the fingerprint matching device of any of the fifth to eighth embodiments.
  • the fingerprint image is re-acquired. That is, in the process of one press of the user, the user fingerprint image can be collected and matched multiple times; in the prior art, when the fingerprint quality of the user is poor, the user needs to press the fingerprint multiple times to pass the fingerprint authentication; thereby reducing the rejection of the fingerprint authentication.
  • the true rate improves the user experience.

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Abstract

Selon une partie des modes de réalisation, la présente invention concerne un procédé et un appareil d'appariement d'empreintes digitales, et un dispositif électronique. Le procédé d'appariement d'empreintes digitales consiste : à acquérir une image d'empreinte digitale ; à déterminer si l'image acquise d'empreinte digitale est appariée à une image prédéfinie d'empreinte digitale ; à détecter si le doigt a déjà quitté une zone d'acquisition d'empreintes digitales et si le nombre d'échecs d'appariement est supérieur à un nombre prédéfini d'appariements lorsque l'image acquise d'empreinte digitale n'est pas appariée à l'image prédéfinie d'empreinte digitale ; et à réacquérir l'image d'empreinte digitale si le doigt n'a pas quitté la zone de collecte d'empreinte digitale et que le nombre d'échecs d'appariement est inférieur ou égal au nombre prédéfini d'appariements. La présente invention concerne en outre un dispositif d'appariement d'empreintes digitales qui utilise le procédé d'appariement d'empreintes digitales et un dispositif électronique. Grâce aux modes de réalisation selon la présente invention, il est possible d'acquérir une pluralité d'images d'empreintes digitales d'utilisateurs pour l'appariement durant un processus à une seule pression d'un utilisateur afin d'éviter la nécessité de pressions multiples pour la réussite de l'authentification par empreinte digitale lorsque des images d'empreintes digitales d'utilisateurs sont de mauvaise qualité, réduisant ainsi le taux de rejet de l'empreinte digitale correcte pendant l'authentification par empreintes digitales et améliorant l'ergonomie.
PCT/CN2017/083847 2017-05-10 2017-05-10 Procédé et appareil d'appariement d'empreintes digitales, et dispositif électronique WO2018205177A1 (fr)

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