WO2017080289A1 - 指纹注册方法、装置及移动终端 - Google Patents

指纹注册方法、装置及移动终端 Download PDF

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Publication number
WO2017080289A1
WO2017080289A1 PCT/CN2016/097684 CN2016097684W WO2017080289A1 WO 2017080289 A1 WO2017080289 A1 WO 2017080289A1 CN 2016097684 W CN2016097684 W CN 2016097684W WO 2017080289 A1 WO2017080289 A1 WO 2017080289A1
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Prior art keywords
fingerprint image
registered fingerprint
input
registered
same finger
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PCT/CN2016/097684
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English (en)
French (fr)
Inventor
周意保
Original Assignee
广东欧珀移动通信有限公司
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Application filed by 广东欧珀移动通信有限公司 filed Critical 广东欧珀移动通信有限公司
Priority to EP16863467.3A priority Critical patent/EP3229516B1/en
Priority to US15/554,222 priority patent/US10395130B2/en
Priority to ES16863467T priority patent/ES2727559T3/es
Publication of WO2017080289A1 publication Critical patent/WO2017080289A1/zh

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    • 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
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
    • 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
    • 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
    • G06V40/1347—Preprocessing; Feature extraction
    • 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
    • G06V40/1347—Preprocessing; Feature extraction
    • G06V40/1359—Extracting features related to ridge properties; Determining the fingerprint type, e.g. whorl or loop
    • 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
    • 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
    • G06V40/1376—Matching features related to ridge properties or fingerprint texture
    • 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
    • G06V40/50—Maintenance of biometric data or enrolment thereof
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W88/00—Devices specially adapted for wireless communication networks, e.g. terminals, base stations or access point devices
    • H04W88/02—Terminal devices

Definitions

  • the present invention relates to the field of mobile terminal technologies, and in particular, to a fingerprint registration method and device, and a mobile terminal.
  • the fingerprint identification technology can be applied not only to the functions of unlocking and waking up the mobile terminal, but also an important part of mobile payment.
  • the user when the user registers the fingerprint, in order to improve the success rate of fingerprint recognition, the user usually needs to input the fingerprint multiple times. For example, the first registration needs to be entered about 20 times to successfully register the fingerprint template.
  • the method of registering a fingerprint by multiple entry has the following problem: when the user registers the same fingerprint with multiple fingers, the registration can also be successful. If the user enters a total of 20 times with three different fingers of the thumb, forefinger and middle finger, after the fingerprint registration is successful, any one of the three fingers can often identify successfully, resulting in a higher false alarm rate for fingerprint recognition. There are security risks.
  • an object of the present invention is to provide a fingerprint registration method, which can avoid the problem of multiple fingers registering the same fingerprint and eliminate security risks.
  • a second object of the present invention is to provide a fingerprint registration device.
  • a third object of the present invention is to provide a mobile terminal.
  • a fourth object of the present invention is to provide a non-volatile computer storage medium.
  • a first aspect of the present invention provides a fingerprint registration method, including: receiving a registration fingerprint image input by a user for the Nth time and extracting a feature point of the Nth input registration fingerprint image, where N is a positive integer; determining the registered fingerprint image and the input of the Nth time according to the feature point of the registered fingerprint image input at the Nth time and the feature point of the registered fingerprint image of the N-1 times before the Nth time Whether the registered fingerprint image input N-1 times belongs to the same finger; and if belonging to the same finger, adding the registered fingerprint image input by the Nth time to the registered fingerprint image candidate set, wherein, according to the registered fingerprint The registered fingerprint image in the image candidate set generates a corresponding fingerprint template.
  • a second embodiment of the present invention provides a fingerprint registration apparatus, including: a receiving module, configured to receive a registered fingerprint image input by a user for the Nth time, and extract a feature point of the Nth input registered fingerprint image, where N is a positive integer; the determining module is configured to determine the Nth input according to the feature point of the registered fingerprint image input at the Nth time and the feature point of the registered fingerprint image of the N-1 times before the Nth time Whether the registered fingerprint image and the registered fingerprint image input by the N-1 times belong to the same finger; and an adding module for adding the registered fingerprint image of the Nth input to the registered fingerprint image if belonging to the same finger a candidate set, wherein a corresponding fingerprint template is generated according to the registered fingerprint image in the registered fingerprint image candidate set.
  • a third embodiment of the present invention provides a mobile terminal, including: a housing, a processor, a memory, a circuit board, and a power supply circuit; the circuit board is disposed inside a space enclosed by the outer casing, and the processor and the The memory is disposed on the circuit board; the power circuit is configured to supply power to each circuit or device of the mobile terminal; and the processor is configured to run the program code corresponding to the executable program by reading executable program code stored in the memory a processor, configured to: receive a registered fingerprint image input by the user for the Nth time, and extract a feature point of the Nth input registered fingerprint image, where N is a positive integer; The feature point of the registered fingerprint image input at the Nth time and the feature point of the registered fingerprint image of the N-1 times before the Nth time are used to determine the registration image of the Nth input and the registration of the N-1 input. Whether the fingerprint image belongs to the same finger; and if belonging to the same finger, adding the registered fingerprint image of the Nth input to the registered fingerprint image candidate set,
  • a fourth aspect of the present invention provides a non-volatile computer storage medium storing one or more programs, when the one or more programs are executed by one device, causing the device A fingerprint registration method in accordance with an embodiment of the first aspect of the present invention is performed.
  • the invention realizes the problem of avoiding registration of the same fingerprint by multiple fingers, eliminating security risks and improving the user experience.
  • FIG. 1 is a flow chart of a fingerprint registration method according to an embodiment of the present invention.
  • FIG. 2 is a schematic structural diagram 1 of a fingerprint registration device according to an embodiment of the present invention.
  • FIG. 3 is a second schematic structural diagram of a fingerprint registration device according to an embodiment of the present invention.
  • FIG. 4 is a schematic structural diagram 3 of a fingerprint registration apparatus according to an embodiment of the present invention.
  • FIG. 5 is a schematic structural diagram of a mobile terminal according to an embodiment of the present invention.
  • FIG. 1 is a flow chart of a fingerprint registration method in accordance with one embodiment of the present invention.
  • the fingerprint registration method may include:
  • S1 Receive a registered fingerprint image input by the user for the Nth time and extract a feature point of the registered fingerprint image input at the Nth time.
  • the registered fingerprint image input by the user for the Nth time may be received, and then the feature points of the corresponding registered fingerprint image are extracted.
  • N is a positive integer, for example, the fifth time or the like.
  • the feature point is information describing the fingerprint feature, the most typical is the termination point and the bifurcation point, and the others may also include divergence points, isolated points, ring points, short lines, and the like.
  • the registered fingerprint image of the Nth input and the registered fingerprint of the N-1 input are determined according to the feature point of the registered fingerprint image input at the Nth time and the feature point of the registered fingerprint image of the N-1 input before the Nth time. Whether the image belongs to the same finger.
  • the feature points of the registered fingerprint image input at the Nth time are matched with the feature points of the registered fingerprint image input N-1 times, thereby generating N-1 matching scores. If the N-1 matching scores are greater than the preset threshold, it may be determined that the registered fingerprint image belongs to the same finger as the registered fingerprint image of the N-1 input. If any one of the N-1 matching scores is less than the preset threshold, it may be determined that the registered fingerprint image and the registered fingerprint image of the N-1 input do not belong to the same finger. For example, suppose N is equal to 5, that is, the feature points of the registered fingerprint image input for the fifth time are respectively matched with the feature points of the registered fingerprint image input by the first four times, respectively, to generate four matching scores.
  • the matching score can be determined by the number of identical feature points between the registered fingerprint images input multiple times. It is assumed that there are 100 feature points of the registered fingerprint image input each time. Assuming that the registered fingerprint image input for the fifth time and the registered fingerprint image input for the first time have 91 identical feature points, the corresponding first matching score may be 91 points.
  • the fifth time you enter the registration fingerprint The image and the registered fingerprint image input the second time, the number of the same feature points between the two is 93, the corresponding second matching score is 93 points, the fifth input of the registered fingerprint image and the third input Registering a fingerprint image, the number of identical feature points between the two is 94, the corresponding third matching score is 94 points, the fifth input registered fingerprint image and the fourth input registered fingerprint image, both of which The number of identical feature points is 92, and the corresponding fourth matching score is 92 points. If the above four matching scores are greater than the preset threshold of 90 minutes, it may be determined that the registered fingerprint image input for the fifth time belongs to the same finger as the registered fingerprint image input for the first four times.
  • the first matching score is 80
  • the second matching score is 93
  • the third matching score is 94
  • the fourth matching score is 92.
  • the first matching score is less than the preset threshold of 90, and the fifth is determined.
  • the registered fingerprint image input twice does not belong to the same finger as the registered fingerprint image input in the previous four times.
  • the feature points of the corresponding registered fingerprint image may be extracted and saved for matching the feature points of the registered fingerprint image input by the user next time.
  • the foregoing method for obtaining a matching score is only an example, and matching may be performed by matching feature points of the registered fingerprint image input at the Nth time with feature points superimposed with the registered fingerprint image of the first N-1 times.
  • the feature points of the registered fingerprint image input for the first time include a, b, c, d, e, and f
  • the feature points of the registered fingerprint image input for the second time include a, b, d, e, g
  • the superimposed feature points may be a, b, c, d, e, f, g
  • the feature points of the registered fingerprint image input for the third time include a, b, c, d, f, g, h
  • the feature points of the three-input registered fingerprint image are matched with the feature points of the previous two superimpositions, thereby obtaining a corresponding matching score, which further improves the accuracy of the judgment.
  • the registered fingerprint image input for the fifth time when the registered fingerprint image input for the fifth time belongs to the same finger as the registered fingerprint image input four times, the registered fingerprint image input for the fifth time may be added to the registered fingerprint image candidate set. Then, the corresponding fingerprint template can be generated according to the registered fingerprint image input in the first five times.
  • the registered fingerprint image input at the Nth time is discarded, and the registered fingerprint image input by the user is continuously received.
  • the registered fingerprint image input for the fifth time may be discarded, and then the registration fingerprint image re-entered by the user is continuously received, and then the subsequent determination step is performed.
  • the number of times is greater than the first preset threshold, for example, three times, the user may be sent a prompt message for inputting a fingerprint image of the same finger, for example, “detecting another finger to register, please input the same finger”.
  • the user may be sent a prompt to delete the stored fingerprint image.
  • the registered fingerprint image input N-1 times can be deleted. For example, when the user inputs the registered fingerprint image for the fifth time, it is judged as the input registered fingerprint image and the first four times of input 10 times in succession. If the registered fingerprint image does not belong to the same finger, you can prompt the user “Your fingerprint entry error is more than 10 times, please delete the previously entered data”. If the user selects “Yes”, the registration of the first four inputs can be deleted. Fingerprint image.
  • the fingerprint registration method of the embodiment of the present invention receives the registered fingerprint image input by the user for the Nth time and extracts the feature point of the registered fingerprint image input by the Nth time, according to the feature point of the registered fingerprint image input at the Nth time, the Nth time.
  • the feature point of the registered fingerprint image of the previous N-1 input is judged whether the registered fingerprint image input by the Nth time and the registered fingerprint image input by N-1 times belong to the same finger, and if belonging to the same finger, the Nth
  • the secondary input registration fingerprint image is added to the registered fingerprint image candidate set, which avoids the problem that multiple fingers register the same fingerprint, eliminates security risks, and improves the user experience.
  • the present invention also provides a fingerprint registration device.
  • FIG. 2 is a schematic structural diagram 1 of a fingerprint registration device according to an embodiment of the present invention.
  • the fingerprint registration device may include: a receiving module 110, a determining module 120, and an adding module 130.
  • the receiving module 110 can receive the registered fingerprint image input by the user for the Nth time and extract the feature points of the registered fingerprint image input for the Nth time. Specifically, the receiving module 110 may receive the registered fingerprint image input by the user for the Nth time, and then extract the feature points of the corresponding registered fingerprint image.
  • N is a positive integer, for example, the fifth time or the like.
  • the feature point is information describing the fingerprint feature, the most typical is the termination point and the bifurcation point, and the others may also include divergence points, isolated points, ring points, short lines, and the like.
  • the determining module 120 can determine the N-th input registered fingerprint image and the N-1 input according to the feature point of the registered fingerprint image input at the Nth time and the feature point of the registered fingerprint image of the N-1 times before the Nth time. Whether the registered fingerprint image belongs to the same finger.
  • the determining module 120 may match the feature points of the registered fingerprint image input at the Nth time with the feature points of the registered fingerprint image input N-1 times, thereby generating N-1 matching scores. If the N-1 matching scores are greater than the preset threshold, it may be determined that the registered fingerprint image belongs to the same finger as the registered fingerprint image of the N-1 input. If any one of the N-1 matching scores is less than the preset threshold, it may be determined that the registered fingerprint image and the registered fingerprint image of the N-1 input do not belong to the same finger. For example, suppose N is equal to 5, that is, the feature points of the registered fingerprint image input for the fifth time are respectively matched with the feature points of the registered fingerprint image input by the first four times, respectively, to generate four matching scores.
  • the matching score can be determined by the number of identical feature points between the registered fingerprint images input multiple times. It is assumed that there are 100 feature points of the registered fingerprint image input each time. Assuming that the registered fingerprint image input for the fifth time and the registered fingerprint image input for the first time have 91 identical feature points, the corresponding first matching score may be 91 points. Similarly, the registered fingerprint image input for the fifth time and the registered fingerprint image input for the second time have 93 identical feature points, and the corresponding second matching score is 93 points, and the fifth input is performed.
  • the registered fingerprint image and the registered fingerprint image input for the third time the number of the same feature points between the two is 94, the corresponding third matching score is 94 points, and the fifth input registration
  • the fingerprint image and the registered fingerprint image input for the fourth time have the same number of feature points between the two, and the corresponding fourth matching score is 92 points. If the above four matching scores are greater than the preset threshold of 90 minutes, it may be determined that the registered fingerprint image input for the fifth time belongs to the same finger as the registered fingerprint image input for the first four times. Assuming that the first matching score is 80, the second matching score is 93, the third matching score is 94, and the fourth matching score is 92. The first matching score is less than the preset threshold of 90, and the fifth is determined.
  • the registered fingerprint image input twice does not belong to the same finger as the registered fingerprint image input in the previous four times.
  • the feature points of the corresponding registered fingerprint image may be extracted and saved for matching the feature points of the registered fingerprint image input by the user next time.
  • the foregoing method for obtaining a matching score is only an example, and matching may be performed by matching feature points of the registered fingerprint image input at the Nth time with feature points superimposed with the registered fingerprint image of the first N-1 times.
  • the feature points of the registered fingerprint image input for the first time include a, b, c, d, e, and f
  • the feature points of the registered fingerprint image input for the second time include a, b, d, e, g
  • the superimposed feature points may be a, b, c, d, e, f, g
  • the feature points of the registered fingerprint image input for the third time include a, b, c, d, f, g, h
  • the feature points of the three-input registered fingerprint image are matched with the feature points of the previous two superimpositions, thereby obtaining a corresponding matching score, which further improves the accuracy of the judgment.
  • the adding module 130 may add the registered fingerprint image input at the Nth time to the registered fingerprint image candidate set when the registered fingerprint image belongs to the same finger as the first to N-1th input registered fingerprint images.
  • the adding module 130 may add the registered fingerprint image input for the fifth time to the registered fingerprint.
  • the image candidate set can then generate a corresponding fingerprint template according to the registered fingerprint image input in the first five times.
  • the fingerprint registration device may further include a discarding module 140.
  • the discarding module 140 may discard the registered fingerprint image input at the Nth time when not belonging to the same finger, and then the receiving module 110 continues to receive the registered fingerprint image input by the user.
  • the registered fingerprint image input for the fifth time may be discarded, and then the receiving module 110 continues. Receive a registered fingerprint image that the user re-entered.
  • the fingerprint registration device may further include a prompting module 150.
  • the prompting module 150 can record the number of times that the same finger does not belong, and when the number of times is greater than the first preset threshold, send the prompt information to the user to input the fingerprint image of the same finger. For example, when the number of times is greater than three times, the user may be sent a prompt message "Detecting another finger to register, please input the same finger".
  • the prompting module 150 may send a prompt to the user whether to delete the stored fingerprint image. If an indication that the user does delete is received, the registration of the first to the N-1th input may be referred to. The image is deleted. For example, when the user inputs the registered fingerprint image for the fifth time, the registered fingerprint image that is determined to be input 10 times in succession and the registered fingerprint image input in the previous four times do not belong to the same finger, the user may be prompted to “Your If the fingerprint entry error is more than 10 times, please delete the previously entered data. If the user selects "Yes", the registered fingerprint image input the first four times can be deleted.
  • the fingerprint registration device of the embodiment of the present invention receives the registered fingerprint image input by the user for the Nth time and extracts the feature point of the registered fingerprint image input at the Nth time, according to the feature point of the registered fingerprint image input at the Nth time, the Nth time.
  • the feature point of the registered fingerprint image of the previous N-1 input is judged whether the registered fingerprint image input by the Nth time and the registered fingerprint image input by N-1 times belong to the same finger, and if belonging to the same finger, the Nth
  • the secondary input registration fingerprint image is added to the registered fingerprint image candidate set, which avoids the problem that multiple fingers register the same fingerprint, eliminates security risks, and improves the user experience.
  • the present invention further provides a mobile terminal, comprising: a housing, a processor, a memory, a circuit board, and a power supply circuit; the circuit board is disposed inside the space enclosed by the outer casing, and the processor and the memory are disposed on the circuit board.
  • a power supply circuit for powering various circuits or devices of the mobile terminal; the processor is configured to execute a program corresponding to the executable program code by reading executable program code stored in the memory;
  • the processor is used to process data, specifically for:
  • the registered fingerprint image input by the user for the Nth time may be received, and then the feature points of the corresponding registered fingerprint image are extracted.
  • N is a positive integer, for example, the fifth time or the like.
  • the feature point is information describing the fingerprint feature, the most typical is the termination point and the bifurcation point, and the others may also include divergence points, isolated points, ring points, short lines, and the like.
  • the feature points of the registered fingerprint image input at the Nth time are matched with the feature points of the registered fingerprint image input N-1 times, thereby generating N-1 matching scores. If the N-1 matching scores are greater than the preset threshold, it may be determined that the registered fingerprint image belongs to the same finger as the registered fingerprint image of the N-1 input. If any one of the N-1 matching scores is less than the preset threshold, it may be determined that the registered fingerprint image and the registered fingerprint image of the N-1 input do not belong to the same finger. For example, suppose N is equal to 5, that is, the feature points of the registered fingerprint image input for the fifth time are respectively matched with the feature points of the registered fingerprint image input by the first four times, respectively, to generate four matching scores.
  • the matching score can be determined by the number of identical feature points between the registered fingerprint images input multiple times. Assume that the feature points of the registered fingerprint image are entered each time. 100. Assuming that the registered fingerprint image input for the fifth time and the registered fingerprint image input for the first time have 91 identical feature points, the corresponding first matching score may be 91 points. Similarly, the registered fingerprint image input for the fifth time and the registered fingerprint image input for the second time have 93 identical feature points, and the corresponding second matching score is 93 points, and the fifth input is performed.
  • the registered fingerprint image and the registered fingerprint image input for the third time the number of the same feature points between the two is 94, the corresponding third matching score is 94 points, the fifth input registration fingerprint image and the fourth
  • the number of identical feature points between the two is 92
  • the corresponding fourth matching score is 92 points. If the above four matching scores are greater than the preset threshold of 90 minutes, it may be determined that the registered fingerprint image input for the fifth time belongs to the same finger as the registered fingerprint image input for the first four times. Assuming that the first matching score is 80, the second matching score is 93, the third matching score is 94, and the fourth matching score is 92.
  • the first matching score is less than the preset threshold of 90, and the fifth is determined.
  • the registered fingerprint image input twice does not belong to the same finger as the registered fingerprint image input in the previous four times.
  • the feature points of the corresponding registered fingerprint image may be extracted and saved for matching the feature points of the registered fingerprint image input by the user next time.
  • the foregoing method for obtaining a matching score is only an example, and matching may be performed by matching feature points of the registered fingerprint image input at the Nth time with feature points superimposed with the registered fingerprint image of the first N-1 times.
  • the feature points of the registered fingerprint image input for the first time include a, b, c, d, e, and f
  • the feature points of the registered fingerprint image input for the second time include a, b, d, e, g
  • the superimposed feature points may be a, b, c, d, e, f, g
  • the feature points of the registered fingerprint image input for the third time include a, b, c, d, f, g, h
  • the feature points of the three-input registered fingerprint image are matched with the feature points of the previous two superimpositions, thereby obtaining a corresponding matching score, which further improves the accuracy of the judgment.
  • the registered fingerprint image input for the fifth time when the registered fingerprint image input for the fifth time belongs to the same finger as the registered fingerprint image input four times, the registered fingerprint image input for the fifth time may be added to the registered fingerprint image candidate set. Then, the corresponding fingerprint template can be generated according to the registered fingerprint image input in the first five times.
  • S4' if not belonging to the same finger, discards the registered fingerprint image input at the Nth time, and continues to receive the registered fingerprint image input by the user.
  • the registered fingerprint image input for the fifth time may be discarded, and then the registration fingerprint image re-entered by the user is continuously received, and then the subsequent determination step is performed.
  • the number of times is greater than the first preset threshold, for example, three times, the user may be sent a prompt message for inputting a fingerprint image of the same finger, for example, “detecting another finger to register, please input the same finger”.
  • the user may be sent a prompt to delete the stored fingerprint image.
  • the registered fingerprint image input N-1 times can be deleted. For example, when the user inputs the registered fingerprint image for the fifth time, the registered fingerprint image that is determined to be input 10 times in succession and the registered fingerprint image input in the previous four times do not belong to the same finger, the user may be prompted to “Your If the fingerprint entry error is more than 10 times, please delete the previously entered data. If the user selects "Yes", the registered fingerprint image input the first four times can be deleted.
  • the mobile terminal receives the registered fingerprint image input by the user for the Nth time and extracts the feature point of the registered fingerprint image input at the Nth time, according to the feature point of the registered fingerprint image input at the Nth time, before the Nth time
  • the feature point of the registered fingerprint image of the N-1 input is judged whether the registered fingerprint image input at the Nth time and the registered fingerprint image input at the N-1 times belong to the same finger, and if it belongs to the same finger, the Nth time will be
  • the input registered fingerprint image is added to the registered fingerprint image candidate set, which avoids the problem that multiple fingers register the same fingerprint, eliminates security risks, and improves the user experience.
  • the present invention also provides a non-volatile computer storage medium storing one or more programs, when the one or more programs are executed by a device, causing the The device performs the fingerprint registration method of the first aspect of the present invention.
  • first and second are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated.
  • features defining “first” or “second” may include at least one of the features, either explicitly or implicitly.
  • the meaning of "a plurality” is two or more unless specifically and specifically defined otherwise.
  • An arranging list of executable instructions of logical functions may be embodied in any computer readable medium for use in an instruction execution system, apparatus, or device (eg, a computer-based system, a system including a processor, or other A system, device, or device that takes instructions and executes instructions for use, or in conjunction with such instructions to execute a system, apparatus, or device.
  • a "computer-readable medium" can be any apparatus that can contain, store, communicate, propagate, or transport a program for use in an instruction execution system, apparatus, or device, or in conjunction with the instruction execution system, apparatus, or device.
  • computer readable media include the following: electrical connections (electronic devices) having one or more wires, portable computer disk cartridges (magnetic devices), random access memory (RAM), Read only memory (ROM), erasable editable read only memory (EPROM or flash memory), fiber optic devices, and portable compact disk read only memory (CDROM).
  • the computer readable medium may even be a paper or other suitable medium on which the program can be printed, as it may be optically scanned, for example by paper or other medium, followed by editing, interpretation or, if appropriate, other suitable The method is processed to obtain the program electronically and then stored in computer memory.
  • portions of the invention may be implemented in hardware, software, firmware or a combination thereof.
  • multiple steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system.
  • a suitable instruction execution system For example, if implemented in hardware, as in another embodiment, it can be implemented by any one or combination of the following techniques well known in the art: having logic gates for implementing logic functions on data signals. Discrete logic circuits, application specific integrated circuits with suitable combinational logic gates, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.
  • each functional unit in each embodiment of the present invention may be integrated into one processing module, or each unit may exist physically separately, or two or more units may be integrated into one module.
  • the above integrated modules can be implemented in the form of hardware or in the form of software functional modules.
  • the integrated modules, if implemented in the form of software functional modules and sold or used as stand-alone products, may also be stored in a computer readable storage medium.
  • the above mentioned storage medium may be a read only memory, a magnetic disk or an optical disk or the like.

Abstract

本发明公开了一种指纹注册方法、装置及移动终端。其中，指纹注册方法包括：接收用户第N次输入的注册指纹图像并提取第N次输入的注册指纹图像的特征点；根据第N次输入的注册指纹图像的特征点、第N次之前的N-1次输入的注册指纹图像的特征点判断第N次输入的注册指纹图像与N-1次输入的注册指纹图像是否属于同一个手指；以及如果属于同一个手指，则将第N次输入的注册指纹图像添加至注册指纹图像候选集合。本发明实施例的指纹注册方法、装置及移动终端，避免了多个手指注册同一指纹的问题，消除安全隐患，提升用户使用体验。

Description

指纹注册方法、装置及移动终端
相关申请的交叉引用
本申请要求广东欧珀移动通信有限公司于2015年11月13日提交的、发明名称为“指纹注册方法、装置及移动终端”的、中国专利申请号“201510786340.6”的优先权。
技术领域
本发明涉及移动终端技术领域，特别涉及一种指纹注册方法、装置及移动终端。
背景技术
随着科技的进步，智能移动终端已成为人们生活必不可少的工具之一。在智能移动终端中加入指纹识别技术，已经成为主流的技术方案。指纹识别技术不仅可以应用于移动终端的解锁、唤醒等功能，也是移动支付重要的一环。目前，用户在对指纹进行注册时，为了提高指纹识别的成功率，通常需要用户多次录入指纹。例如，首次注册需要录入20次左右才能成功注册指纹模板。但是，通过多次录入对指纹进行注册的方法存在以下问题：当用户用多个手指去注册同一指纹时，同样能够注册成功。假如用户用拇指、食指和中指三个不同的手指总共录入20次，在指纹注册成功后，这三个手指中的任何一个指纹往往都能够识别成功，从而导致指纹识别的认假率变高以及存在安全隐患。
发明内容
本发明旨在至少在一定程度上解决相关技术中的技术问题之一。为此，本发明的一个目的在于提出一种指纹注册方法，该方法能够避免多个手指注册同一指纹的问题，消除安全隐患。
本发明的第二个目的在于提出一种指纹注册装置。
本发明的第三个目的在于提出一种移动终端。
本发明的第四个目的在于提出一种非易失性计算机存储介质。
为了实现上述目的，本发明第一方面实施例提出了一种指纹注册方法，包括：接收用户第N次输入的注册指纹图像并提取所述第N次输入的注册指纹图像的特征点，其中，N为正整数；根据所述第N次输入的注册指纹图像的特征点、第N次之前的N-1次输入的注册指纹图像的特征点判断所述第N次输入的注册指纹图像与所述N-1次输入的注册指纹图像是否属于同一个手指；以及如果属于同一个手指，则将所述第N次输入的注册指纹图像添加至注册指纹图像候选集合，其中，根据所述注册指纹图像候选集合中的注册指纹图像生成对应的指纹模板。
本发明第二方面实施例提出了一种指纹注册装置，包括：接收模块，用于接收用户第N次输入的注册指纹图像并提取所述第N次输入的注册指纹图像的特征点，其中，N为正整数；判断模块，用于根据所述第N次输入的注册指纹图像的特征点、第N次之前的N-1次输入的注册指纹图像的特征点判断所述第N次输入的注册指纹图像与所述N-1次输入的注册指纹图像是否属于同一个手指；以及添加模块，用于如果属于同一个手指，则将所述第N次输入的注册指纹图像添加至注册指纹图像候选集合，其中，根据所述注册指纹图像候选集合中的注册指纹图像生成对应的指纹模板。
本发明第三方面实施例提出了一种移动终端，包括：外壳、处理器、存储器、电路板、电源电路；所述电路板安置在所述外壳围成的空间内部，所述处理器、所述存储器设置在所述电路板上；电源电路，用于为移动终端的各个电路或器件供电；所述处理器用于通过读取存储器中存储的可执行程序代码来运行与可执行程序代码对应的程序；所述处理器用于处理数据，具体用于：接收用户第N次输入的注册指纹图像并提取所述第N次输入的注册指纹图像的特征点，其中，N为正整数；根据所述第N次输入的注册指纹图像的特征点、第N次之前的N-1次输入的注册指纹图像的特征点判断所述第N次输入的注册指纹图像与所述N-1次输入的注册指纹图像是否属于同一个手指；以及如果属于同一个手指，则将所述第N次输入的注册指纹图像添加至注册指纹图像候选集合，其中，根据所述注册指纹图像候选集合中的注册指纹图像生成对应的指纹模板。
本发明第四方面实施例提供了一种非易失性计算机存储介质，所述计算机存储介质存储有一个或者多个程序，当所述一个或者多个程序被一个设备执行时，使得所述设备执行以本发明第一方面实施例的指纹注册方法。
本发明实现了：避免多个手指注册同一指纹的问题，消除安全隐患，提升用户使用体验。
附图说明
为了更清楚地说明本发明实施例中的技术方案，下面将对实施例中所需要使用的附图 作简单地介绍，显而易见地，下面描述中的附图是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1是根据本发明一个实施例的指纹注册方法的流程图；
图2是根据本发明一个实施例的指纹注册装置的结构示意图一；
图3为根据本发明一个实施例的指纹注册装置的结构示意图二；
图4为根据本发明一个实施例的指纹注册装置的结构示意图三；
图5为根据本发明一个实施例的移动终端的结构示意图。
具体实施方式
下面详细描述本发明的实施例，所述实施例的示例在附图中示出，其中自始至终相同或类似的标号表示相同或类似的元件或具有相同或类似功能的元件。下面通过参考附图描述的实施例是示例性的，旨在用于解释本发明，而不能理解为对本发明的限制。
下面参考附图描述本发明实施例的指纹注册方法、装置及移动终端。
图1是根据本发明一个实施例的指纹注册方法的流程图。
如图1所示，指纹注册方法可包括：
S1、接收用户第N次输入的注册指纹图像并提取第N次输入的注册指纹图像的特征点。
具体地，可接收用户第N次输入的注册指纹图像，然后提取对应的注册指纹图像的特征点。其中，N为正整数，例如第5次等。其中，特征点是描述指纹特征的信息，最典型的是终结点和分叉点，其他还可包括分歧点、孤立点、环点、短纹等。
S2、根据第N次输入的注册指纹图像的特征点、第N次之前的N-1次输入的注册指纹图像的特征点判断第N次输入的注册指纹图像与N-1次输入的注册指纹图像是否属于同一个手指。
具体地，可将第N次输入的注册指纹图像的特征点与N-1次输入的注册指纹图像的特征点进行匹配，从而生成N-1个匹配分值。如果N-1个匹配分值均大于预设阈值，则可判断注册指纹图像与N-1次输入的注册指纹图像属于同一个手指。如果N-1个匹配分值中的任一个小于预设阈值，则可判断注册指纹图像与N-1次输入的注册指纹图像不属于同一个手指。举例来说，假设N等于5，也就是说，可以将第五次输入的注册指纹图像的特征点分别与前四次输入的注册指纹图像的特征点分别进行匹配，生成四个匹配分值，即第一匹配分值、第二匹配分值、第三匹配分值和第四匹配分值。其中，匹配分值可通过多次输入的注册指纹图像之间相同的特征点的数量确定。假设每次输入的注册指纹图像的特征点有100个。假设第五次输入的注册指纹图像与第一次输入的注册指纹图像，两者之间相同的特征点的数量为91个，则对应的第一匹配分值可为91分。同理，第五次输入的注册指纹 图像与第二次输入的注册指纹图像，两者之间相同的特征点的数量为93个，则对应的第二匹配分值93分，第五次输入的注册指纹图像与第三次输入的注册指纹图像，两者之间相同的特征点的数量为94个，则对应的第三匹配分值94分，第五次输入的注册指纹图像与第四次输入的注册指纹图像，两者之间相同的特征点的数量为92个，则对应的第四匹配分值92分。上述四个匹配分值均大于预设阈值90分，则可确定第五次输入的注册指纹图像与前四次输入的注册指纹图像属于同一个手指。假设第一匹配分值80分、第二匹配分值93分、第三匹配分值94分和第四匹配分值92分，第一匹配分值小于预设阈值90分，则可确定第五次输入的注册指纹图像与前四次输入的注册指纹图像不属于同一个手指。
在每次接收到用户输入的注册指纹图像后，可提取对应的注册指纹图像的特征点，并进行保存，以用于对用户下一次输入的注册指纹图像的特征点进行匹配。
应当理解的是，上述获取匹配分值的方法仅为示例，也可以通过第N次输入的注册指纹图像的特征点与前N-1次输入的注册指纹图像叠加后的特征点进行匹配获得匹配分值。例如：第一次输入的注册指纹图像的特征点包括a、b、c、d、e、f，第二次输入的注册指纹图像的特征点包括a、b、d、e、g，则两者叠加后的特征点可为a、b、c、d、e、f、g，而第三次输入的注册指纹图像的特征点包括a、b、c、d、f、g、h，第三次输入的注册指纹图像的特征点与前两次叠加后的特征点进行匹配，从而获得对应的匹配分值，进一步提高了判断的准确性。
S3、如果属于同一个手指，则将第N次输入的注册指纹图像添加至注册指纹图像候选集合。
继续上一步骤的例子进行说明，当第五次输入的注册指纹图像与前四次输入的注册指纹图像属于同一个手指时，可将第五次输入的注册指纹图像添加至注册指纹图像候选集合，然后可根据前五次输入的注册指纹图像生成对应的指纹模板。
S4、如果不属于同一个手指，则将第N次输入的注册指纹图像丢弃，继续接收用户输入的注册指纹图像。
具体地，如果不属于同一个手指，则可将第五次输入的注册指纹图像丢弃，然后继续接收用户重新输入的注册指纹图像，再进行后续判断的步骤。
此外，还可记录不属于同一个手指的次数。当次数大于第一预设阈值如三次时，可向用户发送请输入同一个手指的指纹图像的提示信息，例如“检测到另一手指进行注册，请输入同一个手指”等。
当次数大于第二预设阈值如10次时，可向用户发送是否删除已存注册指纹图像的提示。如果接收到用户确实删除的指示，则可将N-1次输入的注册指纹图像删除。举例来说，用户在第五次输入的注册指纹图像时，连续10次被判断为输入的注册指纹图像与前四次输入 的注册指纹图像不属于同一个手指，则可向用户提示“您的指纹录入错误超过10次，请问是否删除之前录入的数据”，如果用户选择“是”，则可删除前四次输入的注册指纹图像。
本发明实施例的指纹注册方法，通过接收用户第N次输入的注册指纹图像并提取第N次输入的注册指纹图像的特征点，根据第N次输入的注册指纹图像的特征点、第N次之前的N-1次输入的注册指纹图像的特征点判断第N次输入的注册指纹图像与N-1次输入的注册指纹图像是否属于同一个手指，以及如果属于同一个手指，则将第N次输入的注册指纹图像添加至注册指纹图像候选集合，避免了多个手指注册同一指纹的问题，消除安全隐患，提升用户使用体验。
为实现上述目的，本发明还提出一种指纹注册装置。
图2是根据本发明一个实施例的指纹注册装置的结构示意图一。
如图2所示，指纹注册装置可包括：接收模块110、判断模块120和添加模块130。
接收模块110可接收用户第N次输入的注册指纹图像并提取第N次输入的注册指纹图像的特征点。具体地，接收模块110可接收用户第N次输入的注册指纹图像，然后提取对应的注册指纹图像的特征点。其中，N为正整数，例如第5次等。其中，特征点是描述指纹特征的信息，最典型的是终结点和分叉点，其他还可包括分歧点、孤立点、环点、短纹等。
判断模块120可根据第N次输入的注册指纹图像的特征点、第N次之前的N-1次输入的注册指纹图像的特征点判断第N次输入的注册指纹图像与N-1次输入的注册指纹图像是否属于同一个手指。
具体地，判断模块120可将第N次输入的注册指纹图像的特征点与N-1次输入的注册指纹图像的特征点进行匹配，从而生成N-1个匹配分值。如果N-1个匹配分值均大于预设阈值，则可判断注册指纹图像与N-1次输入的注册指纹图像属于同一个手指。如果N-1个匹配分值中的任一个小于预设阈值，则可判断注册指纹图像与N-1次输入的注册指纹图像不属于同一个手指。举例来说，假设N等于5，也就是说，可以将第五次输入的注册指纹图像的特征点分别与前四次输入的注册指纹图像的特征点分别进行匹配，生成四个匹配分值，即第一匹配分值、第二匹配分值、第三匹配分值和第四匹配分值。其中，匹配分值可通过多次输入的注册指纹图像之间相同的特征点的数量确定。假设每次输入的注册指纹图像的特征点有100个。假设第五次输入的注册指纹图像与第一次输入的注册指纹图像，两者之间相同的特征点的数量为91个，则对应的第一匹配分值可为91分。同理，第五次输入的注册指纹图像与第二次输入的注册指纹图像，两者之间相同的特征点的数量为93个，则对应的第二匹配分值93分，第五次输入的注册指纹图像与第三次输入的注册指纹图像，两者之间相同的特征点的数量为94个，则对应的第三匹配分值94分，第五次输入的注册 指纹图像与第四次输入的注册指纹图像，两者之间相同的特征点的数量为92个，则对应的第四匹配分值92分。上述四个匹配分值均大于预设阈值90分，则可确定第五次输入的注册指纹图像与前四次输入的注册指纹图像属于同一个手指。假设第一匹配分值80分、第二匹配分值93分、第三匹配分值94分和第四匹配分值92分，第一匹配分值小于预设阈值90分，则可确定第五次输入的注册指纹图像与前四次输入的注册指纹图像不属于同一个手指。
在每次接收到用户输入的注册指纹图像后，可提取对应的注册指纹图像的特征点，并进行保存，以用于对用户下一次输入的注册指纹图像的特征点进行匹配。
应当理解的是，上述获取匹配分值的方法仅为示例，也可以通过第N次输入的注册指纹图像的特征点与前N-1次输入的注册指纹图像叠加后的特征点进行匹配获得匹配分值。例如：第一次输入的注册指纹图像的特征点包括a、b、c、d、e、f，第二次输入的注册指纹图像的特征点包括a、b、d、e、g，则两者叠加后的特征点可为a、b、c、d、e、f、g，而第三次输入的注册指纹图像的特征点包括a、b、c、d、f、g、h，第三次输入的注册指纹图像的特征点与前两次叠加后的特征点进行匹配，从而获得对应的匹配分值，进一步提高了判断的准确性。
添加模块130可当注册指纹图像与第一至第N-1次输入的注册指纹图像属于同一个手指时，将第N次输入的注册指纹图像添加至注册指纹图像候选集合。
继续上一步骤的例子进行说明，当第五次输入的注册指纹图像与前四次输入的注册指纹图像属于同一个手指时，添加模块130可将第五次输入的注册指纹图像添加至注册指纹图像候选集合，然后可根据前五次输入的注册指纹图像生成对应的指纹模板。
此外，如图3所示，指纹注册装置还可包括丢弃模块140。
丢弃模块140可当不属于同一个手指时，将第N次输入的注册指纹图像丢弃，然后接收模块110继续接收用户输入的注册指纹图像。
继续上一步骤的例子进行说明，当第五次输入的注册指纹图像与前四次输入的注册指纹图像属于同一个手指时，可将第五次输入的注册指纹图像丢弃，然后接收模块110继续接收用户重新输入的注册指纹图像。
另外，如图4所示，指纹注册装置还可包括提示模块150。
提示模块150可记录不属于同一个手指的次数，以及当次数大于第一预设阈值时，向用户发送请输入同一个手指的指纹图像的提示信息。举例来说，当次数大于三次时，可向用户发送提示信息“检测到另一手指进行注册，请输入同一个手指”等。
当次数大于第二预设阈值如10次时，提示模块150可向用户发送是否删除已存注册指纹图像的提示。如果接收到用户确实删除的指示，则可将第一次至第N-1次输入的注册指 纹图像删除。举例来说，用户在第五次输入的注册指纹图像时，连续10次被判断为输入的注册指纹图像与前四次输入的注册指纹图像不属于同一个手指，则可向用户提示“您的指纹录入错误超过10次，请问是否删除之前录入的数据”，如果用户选择“是”，则可删除前四次输入的注册指纹图像。
本发明实施例的指纹注册装置，通过接收用户第N次输入的注册指纹图像并提取第N次输入的注册指纹图像的特征点，根据第N次输入的注册指纹图像的特征点、第N次之前的N-1次输入的注册指纹图像的特征点判断第N次输入的注册指纹图像与N-1次输入的注册指纹图像是否属于同一个手指，以及如果属于同一个手指，则将第N次输入的注册指纹图像添加至注册指纹图像候选集合，避免了多个手指注册同一指纹的问题，消除安全隐患，提升用户使用体验。
为了实现上述实施例，本发明还提出一种移动终端，包括：外壳、处理器、存储器、电路板、电源电路；电路板安置在外壳围成的空间内部，处理器、存储器设置在电路板上；电源电路，用于为移动终端的各个电路或器件供电；处理器用于通过读取存储器中存储的可执行程序代码来运行与可执行程序代码对应的程序；
处理器用于处理数据，具体用于：
S1’、接收用户第N次输入的注册指纹图像并提取第N次输入的注册指纹图像的特征点。
具体地，可接收用户第N次输入的注册指纹图像，然后提取对应的注册指纹图像的特征点。其中，N为正整数，例如第5次等。其中，特征点是描述指纹特征的信息，最典型的是终结点和分叉点，其他还可包括分歧点、孤立点、环点、短纹等。
S2’、根据第N次输入的注册指纹图像的特征点、第N次之前的N-1次输入的注册指纹图像的特征点判断第N次输入的注册指纹图像与N-1次输入的注册指纹图像是否属于同一个手指。
具体地，可将第N次输入的注册指纹图像的特征点与N-1次输入的注册指纹图像的特征点进行匹配，从而生成N-1个匹配分值。如果N-1个匹配分值均大于预设阈值，则可判断注册指纹图像与N-1次输入的注册指纹图像属于同一个手指。如果N-1个匹配分值中的任一个小于预设阈值，则可判断注册指纹图像与N-1次输入的注册指纹图像不属于同一个手指。举例来说，假设N等于5，也就是说，可以将第五次输入的注册指纹图像的特征点分别与前四次输入的注册指纹图像的特征点分别进行匹配，生成四个匹配分值，即第一匹配分值、第二匹配分值、第三匹配分值和第四匹配分值。其中，匹配分值可通过多次输入的注册指纹图像之间相同的特征点的数量确定。假设每次输入的注册指纹图像的特征点有 100个。假设第五次输入的注册指纹图像与第一次输入的注册指纹图像，两者之间相同的特征点的数量为91个，则对应的第一匹配分值可为91分。同理，第五次输入的注册指纹图像与第二次输入的注册指纹图像，两者之间相同的特征点的数量为93个，则对应的第二匹配分值93分，第五次输入的注册指纹图像与第三次输入的注册指纹图像，两者之间相同的特征点的数量为94个，则对应的第三匹配分值94分，第五次输入的注册指纹图像与第四次输入的注册指纹图像，两者之间相同的特征点的数量为92个，则对应的第四匹配分值92分。上述四个匹配分值均大于预设阈值90分，则可确定第五次输入的注册指纹图像与前四次输入的注册指纹图像属于同一个手指。假设第一匹配分值80分、第二匹配分值93分、第三匹配分值94分和第四匹配分值92分，第一匹配分值小于预设阈值90分，则可确定第五次输入的注册指纹图像与前四次输入的注册指纹图像不属于同一个手指。
在每次接收到用户输入的注册指纹图像后，可提取对应的注册指纹图像的特征点，并进行保存，以用于对用户下一次输入的注册指纹图像的特征点进行匹配。
应当理解的是，上述获取匹配分值的方法仅为示例，也可以通过第N次输入的注册指纹图像的特征点与前N-1次输入的注册指纹图像叠加后的特征点进行匹配获得匹配分值。例如：第一次输入的注册指纹图像的特征点包括a、b、c、d、e、f，第二次输入的注册指纹图像的特征点包括a、b、d、e、g，则两者叠加后的特征点可为a、b、c、d、e、f、g，而第三次输入的注册指纹图像的特征点包括a、b、c、d、f、g、h，第三次输入的注册指纹图像的特征点与前两次叠加后的特征点进行匹配，从而获得对应的匹配分值，进一步提高了判断的准确性。
S3’、如果属于同一个手指，则将第N次输入的注册指纹图像添加至注册指纹图像候选集合。
继续上一步骤的例子进行说明，当第五次输入的注册指纹图像与前四次输入的注册指纹图像属于同一个手指时，可将第五次输入的注册指纹图像添加至注册指纹图像候选集合，然后可根据前五次输入的注册指纹图像生成对应的指纹模板。
S4’、如果不属于同一个手指，则将第N次输入的注册指纹图像丢弃，继续接收用户输入的注册指纹图像。
具体地，如果不属于同一个手指，则可将第五次输入的注册指纹图像丢弃，然后继续接收用户重新输入的注册指纹图像，再进行后续判断的步骤。
此外，还可记录不属于同一个手指的次数。当次数大于第一预设阈值如三次时，可向用户发送请输入同一个手指的指纹图像的提示信息，例如“检测到另一手指进行注册，请输入同一个手指”等。
当次数大于第二预设阈值如10次时，可向用户发送是否删除已存注册指纹图像的提示。 如果接收到用户确实删除的指示，则可将N-1次输入的注册指纹图像删除。举例来说，用户在第五次输入的注册指纹图像时，连续10次被判断为输入的注册指纹图像与前四次输入的注册指纹图像不属于同一个手指，则可向用户提示“您的指纹录入错误超过10次，请问是否删除之前录入的数据”，如果用户选择“是”，则可删除前四次输入的注册指纹图像。
本发明实施例的移动终端，通过接收用户第N次输入的注册指纹图像并提取第N次输入的注册指纹图像的特征点，根据第N次输入的注册指纹图像的特征点、第N次之前的N-1次输入的注册指纹图像的特征点判断第N次输入的注册指纹图像与N-1次输入的注册指纹图像是否属于同一个手指，以及如果属于同一个手指，则将第N次输入的注册指纹图像添加至注册指纹图像候选集合，避免了多个手指注册同一指纹的问题，消除安全隐患，提升用户使用体验。
为了实现上述实施例，本发明还提出一种非易失性计算机存储介质，所述计算机存储介质存储有一个或者多个程序，当所述一个或者多个程序被一个设备执行时，使得所述设备执行以本发明第一方面实施例的指纹注册方法。
在本说明书的描述中，参考术语“一个实施例”、“一些实施例”、“示例”、“具体示例”、或“一些示例”等的描述意指结合该实施例或示例描述的具体特征、结构、材料或者特点包含于本发明的至少一个实施例或示例中。在本说明书中，对上述术语的示意性表述不必须针对的是相同的实施例或示例。而且，描述的具体特征、结构、材料或者特点可以在任一个或多个实施例或示例中以合适的方式结合。此外，在不相互矛盾的情况下，本领域的技术人员可以将本说明书中描述的不同实施例或示例以及不同实施例或示例的特征进行结合和组合。
此外，术语“第一”、“第二”仅用于描述目的，而不能理解为指示或暗示相对重要性或者隐含指明所指示的技术特征的数量。由此，限定有“第一”、“第二”的特征可以明示或者隐含地包括至少一个该特征。在本发明的描述中，“多个”的含义是两个或两个以上，除非另有明确具体的限定。
流程图中或在此以其他方式描述的任何过程或方法描述可以被理解为，表示包括一个或更多个用于实现特定逻辑功能或过程的步骤的可执行指令的代码的模块、片段或部分，并且本发明的优选实施方式的范围包括另外的实现，其中可以不按所示出或讨论的顺序，包括根据所涉及的功能按基本同时的方式或按相反的顺序，来执行功能，这应被本发明的实施例所属技术领域的技术人员所理解。
在流程图中表示或在此以其他方式描述的逻辑和/或步骤，例如，可以被认为是用于实 现逻辑功能的可执行指令的定序列表，可以具体实现在任何计算机可读介质中，以供指令执行系统、装置或设备(如基于计算机的系统、包括处理器的系统或其他可以从指令执行系统、装置或设备取指令并执行指令的系统)使用，或结合这些指令执行系统、装置或设备而使用。就本说明书而言，"计算机可读介质"可以是任何可以包含、存储、通信、传播或传输程序以供指令执行系统、装置或设备或结合这些指令执行系统、装置或设备而使用的装置。计算机可读介质的更具体的示例(非穷尽性列表)包括以下：具有一个或多个布线的电连接部(电子装置)，便携式计算机盘盒(磁装置)，随机存取存储器(RAM)，只读存储器(ROM)，可擦除可编辑只读存储器(EPROM或闪速存储器)，光纤装置，以及便携式光盘只读存储器(CDROM)。另外，计算机可读介质甚至可以是可在其上打印所述程序的纸或其他合适的介质，因为可以例如通过对纸或其他介质进行光学扫描，接着进行编辑、解译或必要时以其他合适方式进行处理来以电子方式获得所述程序，然后将其存储在计算机存储器中。
应当理解，本发明的各部分可以用硬件、软件、固件或它们的组合来实现。在上述实施方式中，多个步骤或方法可以用存储在存储器中且由合适的指令执行系统执行的软件或固件来实现。例如，如果用硬件来实现，和在另一实施方式中一样，可用本领域公知的下列技术中的任一项或他们的组合来实现：具有用于对数据信号实现逻辑功能的逻辑门电路的离散逻辑电路，具有合适的组合逻辑门电路的专用集成电路，可编程门阵列(PGA)，现场可编程门阵列(FPGA)等。
本技术领域的普通技术人员可以理解实现上述实施例方法携带的全部或部分步骤是可以通过程序来指令相关的硬件完成，所述的程序可以存储于一种计算机可读存储介质中，该程序在执行时，包括方法实施例的步骤之一或其组合。
此外，在本发明各个实施例中的各功能单元可以集成在一个处理模块中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个模块中。上述集成的模块既可以采用硬件的形式实现，也可以采用软件功能模块的形式实现。所述集成的模块如果以软件功能模块的形式实现并作为独立的产品销售或使用时，也可以存储在一个计算机可读取存储介质中。
上述提到的存储介质可以是只读存储器，磁盘或光盘等。尽管上面已经示出和描述了本发明的实施例，可以理解的是，上述实施例是示例性的，不能理解为对本发明的限制，本领域的普通技术人员在本发明的范围内可以对上述实施例进行变化、修改、替换和变型。

Claims (19)

  1. 一种指纹注册方法，其特征在于，包括以下步骤：
    接收用户第N次输入的注册指纹图像并提取所述第N次输入的注册指纹图像的特征点，其中，N为正整数；
    根据所述第N次输入的注册指纹图像的特征点、第N次之前的N-1次输入的注册指纹图像的特征点判断所述第N次输入的注册指纹图像与所述N-1次输入的注册指纹图像是否属于同一个手指；以及
    如果属于同一个手指，则将所述第N次输入的注册指纹图像添加至注册指纹图像候选集合，其中，根据所述注册指纹图像候选集合中的注册指纹图像生成对应的指纹模板。
  2. 如权利要求1所述的指纹注册方法，其特征在于，还包括：
    如果不属于同一个手指，则将所述第N次输入的注册指纹图像丢弃，继续接收用户输入的注册指纹图像。
  3. 如权利要求2所述的指纹注册方法，其特征在于，还包括：
    记录不属于同一个手指的次数；以及
    当所述次数大于第一预设阈值时，向所述用户发送请输入同一个手指的指纹图像的提示信息。
  4. 如权利要求3所述的指纹注册方法，其特征在于，还包括：
    当所述次数大于第二预设阈值时，向所述用户发送是否删除已存注册指纹图像的提示；以及
    如果接收到所述用户确实删除的指示，则将所述N-1次输入的注册指纹图像删除。
  5. 如权利要求1所述的指纹注册方法，其特征在于，所述根据所述第N次输入的注册指纹图像的特征点、N-1次输入的注册指纹图像的特征点判断所述注册指纹图像与N-1次输入的注册指纹图像是否属于同一个手指具体包括：
    将所述第N次输入的注册指纹图像的特征点与所述N-1次输入的注册指纹图像的特征点进行匹配以生成N-1个匹配分值；
    如果所述N-1个匹配分值均大于预设阈值，则判断所述注册指纹图像与N-1次输入的注册指纹图像属于同一个手指；
    如果所述N-1个匹配分值中的任一个小于所述预设阈值，则判断所述注册指纹图像与N-1次输入的注册指纹图像不属于同一个手指。
  6. 如权利要求1所述的方法，其特征在于，所述特征点包括终结点、分叉点、分歧点、孤立点、环点、短纹中的至少一种。
  7. 一种指纹注册装置，其特征在于，包括：
    接收模块，用于接收用户第N次输入的注册指纹图像并提取所述第N次输入的注册指纹图像的特征点，其中，N为正整数；
    判断模块，用于根据所述第N次输入的注册指纹图像的特征点、第N次之前的N-1次输入的注册指纹图像的特征点判断所述第N次输入的注册指纹图像与所述N-1次输入的注册指纹图像是否属于同一个手指；以及
    添加模块，用于如果属于同一个手指，则将所述第N次输入的注册指纹图像添加至注册指纹图像候选集合，其中，根据所述注册指纹图像候选集合中的注册指纹图像生成对应的指纹模板。
  8. 如权利要求7所述的指纹注册装置，其特征在于，所述装置还包括：
    丢弃模块，用于当不属于同一个手指时，将所述第N次输入的注册指纹图像丢弃；
    所述接收模块，还用于继续接收用户输入的注册指纹图像。
  9. 如权利要求8所述的指纹注册装置，其特征在于，还包括：
    提示模块，用于记录不属于同一个手指的次数，以及当所述次数大于第一预设阈值时，向所述用户发送请输入同一个手指的指纹图像的提示信息。
  10. 如权利要求9所述的指纹注册装置，其特征在于，所述提示模块还用于：
    当所述次数大于第二预设阈值时，向所述用户发送是否删除已存注册指纹图像的提示，以及如果接收到所述用户确实删除的指示，则将所述N-1次输入的注册指纹图像删除。
  11. 如权利要求7所述的指纹注册装置，其特征在于，所述判断模块，具体用于：
    将所述第N次输入的注册指纹图像的特征点与所述N-1次输入的注册指纹图像的特征点进行匹配以生成N-1个匹配分值，如果所述N-1个匹配分值均大于预设阈值，则判断所述注册指纹图像与N-1次输入的注册指纹图像属于同一个手指，如果所述N-1个匹配分值中的任一个小于所述预设阈值，则判断所述注册指纹图像与N-1次输入的注册指纹图像不属于同一个手指。
  12. 如权利要求7所述的指纹注册装置，其特征在于，所述特征点包括终结点、分叉点、分歧点、孤立点、环点、短纹中的至少一种。
  13. 一种移动终端，其特征在于，包括：外壳、处理器、存储器、电路板、电源电路；
    所述电路板安置在所述外壳围成的空间内部，所述处理器、所述存储器设置在所述电路板上；
    电源电路，用于为移动终端的各个电路或器件供电；
    所述处理器用于通过读取存储器中存储的可执行程序代码来运行与可执行程序代码对应的程序；
    所述处理器用于处理数据，具体用于：
    接收用户第N次输入的注册指纹图像并提取所述第N次输入的注册指纹图像的特征点，其中，N为正整数；
    根据所述第N次输入的注册指纹图像的特征点、第N次之前的N-1次输入的注册指纹图像的特征点判断所述第N次输入的注册指纹图像与所述N-1次输入的注册指纹图像是否属于同一个手指；以及
    如果属于同一个手指，则将所述第N次输入的注册指纹图像添加至注册指纹图像候选集合，其中，根据所述注册指纹图像候选集合中的注册指纹图像生成对应的指纹模板。
  14. 如权利要求13所述的移动终端，其特征在于，所述处理器还用于：
    如果不属于同一个手指，则将所述第N次输入的注册指纹图像丢弃，继续接收用户输入的注册指纹图像。
  15. 如权利要求14所述的移动终端，其特征在于，所述处理器还用于：
    记录不属于同一个手指的次数；以及
    当所述次数大于第一预设阈值时，向所述用户发送请输入同一个手指的指纹图像的提示信息。
  16. 如权利要求15所述的移动终端，其特征在于，所述处理器还用于：
    当所述次数大于第二预设阈值时，向所述用户发送是否删除已存注册指纹图像的提示；以及
    如果接收到所述用户确实删除的指示，则将所述N-1次输入的注册指纹图像删除。
  17. 如权利要求13所述的移动终端，其特征在于，所述处理器，具体用于：
    将所述第N次输入的注册指纹图像的特征点与所述N-1次输入的注册指纹图像的特征点进行匹配以生成N-1个匹配分值；
    如果所述N-1个匹配分值均大于预设阈值，则判断所述注册指纹图像与N-1次输入的注册指纹图像属于同一个手指；
    如果所述N-1个匹配分值中的任一个小于所述预设阈值，则判断所述注册指纹图像与N-1次输入的注册指纹图像不属于同一个手指。
  18. 如权利要求13所述的移动终端，其特征在于，所述特征点包括终结点、分叉点、分歧点、孤立点、环点、短纹中的至少一种。
  19. 一种计算机存储介质，其特征在于，所述计算机存储介质存储有一个或者多个程序，所述程序用于执行根据权利要求1-6任一项所述的指纹注册方法。
PCT/CN2016/097684 2015-11-13 2016-08-31 指纹注册方法、装置及移动终端 WO2017080289A1 (zh)

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