WO2017156965A1 - 一种指纹解锁的方法及终端 - Google Patents

一种指纹解锁的方法及终端 Download PDF

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Publication number
WO2017156965A1
WO2017156965A1 PCT/CN2016/093585 CN2016093585W WO2017156965A1 WO 2017156965 A1 WO2017156965 A1 WO 2017156965A1 CN 2016093585 W CN2016093585 W CN 2016093585W WO 2017156965 A1 WO2017156965 A1 WO 2017156965A1
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WO
WIPO (PCT)
Prior art keywords
fingerprint
matching
fingerprints
group number
sets
Prior art date
Application number
PCT/CN2016/093585
Other languages
English (en)
French (fr)
Inventor
张海平
周意保
Original Assignee
广东欧珀移动通信有限公司
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.)
Filing date
Publication date
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 ES16894126T priority Critical patent/ES2741814T3/es
Priority to EP16894126.8A priority patent/EP3296907B1/en
Publication of WO2017156965A1 publication Critical patent/WO2017156965A1/zh
Priority to US15/853,304 priority patent/US10242247B2/en
Priority to US15/985,101 priority patent/US10198616B2/en

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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
    • G06V40/1365—Matching; Classification
    • G06V40/1376—Matching features related to ridge properties or fingerprint texture
    • 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
    • G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K19/00—Record carriers for use with machines and with at least a part designed to carry digital markings
    • G06K19/06—Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code
    • G06K19/067—Record carriers with conductive marks, printed circuits or semiconductor circuit elements, e.g. credit or identity cards also with resonating or responding marks without active components
    • G06K19/07—Record carriers with conductive marks, printed circuits or semiconductor circuit elements, e.g. credit or identity cards also with resonating or responding marks without active components with integrated circuit chips
    • G06K19/0716—Record carriers with conductive marks, printed circuits or semiconductor circuit elements, e.g. credit or identity cards also with resonating or responding marks without active components with integrated circuit chips at least one of the integrated circuit chips comprising a sensor or an interface to a sensor
    • G06K19/0718—Record carriers with conductive marks, printed circuits or semiconductor circuit elements, e.g. credit or identity cards also with resonating or responding marks without active components with integrated circuit chips at least one of the integrated circuit chips comprising a sensor or an interface to a sensor the sensor being of the biometric kind, e.g. fingerprint sensors
    • 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
    • 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
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L63/00—Network architectures or network communication protocols for network security
    • H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
    • H04L63/0861—Network architectures or network communication protocols for network security for authentication of entities using biometrical features, e.g. fingerprint, retina-scan
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • H04L9/32—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials
    • H04L9/3226—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials using a predetermined code, e.g. password, passphrase or PIN
    • H04L9/3231—Biological data, e.g. fingerprint, voice or retina
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2221/00—Indexing scheme relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F2221/21—Indexing scheme relating to G06F21/00 and subgroups addressing additional information or applications relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F2221/2133—Verifying human interaction, e.g., Captcha

Definitions

  • the present invention relates to the field of security technologies, and in particular, to a method and a terminal for unlocking a fingerprint.
  • each fingerprint contains multiple fingerprint templates.
  • the fingerprint is obtained.
  • the information is matched with each fingerprint template in each set of fingerprints respectively. For example, there are multiple sets of fingerprints, and the finger information is first matched with each fingerprint template of one group. If the matching fails, then each of the other groups is matched. The fingerprint template is matched, which reduces the efficiency of fingerprint unlocking.
  • the embodiment of the invention provides a method and a terminal for unlocking a terminal, which can improve the efficiency of fingerprint unlocking.
  • a first aspect of the embodiments of the present invention provides a method for unlocking a terminal, including:
  • the preset fingerprint matching data includes N sets of fingerprints, and each set of fingerprints includes multiple fingerprint templates. And each of the N sets of fingerprints corresponds to a uniquely identified group number, and the N is an integer greater than 1;
  • the unlocking is performed, where the target matching value is a matching value corresponding to the fingerprint template in which the matching value between the fingerprint and the fingerprint information in the fingerprint of the target group number is greater than the first preset threshold.
  • a second aspect of the embodiments of the present invention provides a terminal, including:
  • An obtaining unit configured to acquire fingerprint information
  • a first determining unit configured to determine a target group number of the fingerprint with the highest degree of similarity among the fingerprint information acquired by the acquiring unit and the preset fingerprint matching data, where the preset fingerprint matching data includes N a set of fingerprints, each set of fingerprints includes a plurality of fingerprint templates, and each of the N sets of fingerprints corresponds to a uniquely identified group number, and the N is an integer greater than one;
  • a first matching unit configured to match the fingerprint information acquired by the acquiring unit with a fingerprint template in a fingerprint corresponding to the target group number determined by the first determining unit;
  • An unlocking unit configured to perform unlocking when the first matching unit matches the target matching value, where the target matching value is greater than the matching value between the fingerprint and the fingerprint information of the target group number A matching value corresponding to a fingerprint template of a preset threshold.
  • a third aspect of the embodiments of the present invention provides a terminal, including:
  • a processor coupled to the memory
  • the processor invokes the executable program code stored in the memory to perform some or all of the steps as described in any of the first aspects of the embodiments of the present invention.
  • the fingerprint information is obtained, and the target group number of the fingerprint with the highest similarity among the fingerprint information and the preset fingerprint matching data is determined, wherein the preset fingerprint matching data includes N sets of fingerprints, and each set of fingerprints
  • the fingerprint template is included, and each of the N sets of fingerprints corresponds to a uniquely identified group number, and N is an integer greater than 1, and the fingerprint information is matched with the fingerprint template in the fingerprint corresponding to the target group number, and the target is matched.
  • the unlocking is performed, where the target matching value is a matching value corresponding to the fingerprint template in which the matching value between the fingerprint and the fingerprint information in the fingerprint of the target group number is greater than the first preset threshold.
  • At least one fingerprint template of the plurality of sets of fingerprints may be matched with the fingerprint information to determine which of the plurality of sets of fingerprints is most similar to the fingerprint information, and further the most similar Fingerprint templates in a set of fingerprints are matched, thereby reducing the number of fingerprint matching times and improving the efficiency of fingerprint unlocking.
  • FIG. 1 is a schematic flow chart of a first embodiment of a method for unlocking a fingerprint according to an embodiment of the present invention
  • FIG. 2 is a schematic flowchart diagram of a second embodiment of a method for unlocking a fingerprint according to an embodiment of the present invention
  • FIG. 3 is a schematic flowchart diagram of a third embodiment of a method for unlocking a fingerprint according to an embodiment of the present invention
  • FIG. 4a is a schematic structural diagram of a first embodiment of a terminal according to an embodiment of the present invention.
  • FIG. 4b is still another schematic structural diagram of a first embodiment of a terminal according to an embodiment of the present disclosure.
  • 4c is another schematic structural diagram of a first embodiment of a terminal according to an embodiment of the present invention.
  • FIG. 5 is a schematic structural diagram of a second embodiment of a terminal according to an embodiment of the present invention.
  • the embodiment of the invention provides a method and a terminal for unlocking a terminal, which can improve the efficiency of fingerprint unlocking.
  • references to "an embodiment” herein mean that a particular feature, structure, or characteristic described in connection with the embodiments can be included in at least one embodiment of the invention.
  • the appearances of the phrases in various places in the specification are not necessarily referring to the same embodiments, and are not exclusive or alternative embodiments that are mutually exclusive. Those skilled in the art will understand and implicitly understand that the embodiments described herein can be combined with other embodiments.
  • the terminal described in the embodiment of the present invention may include a smart phone (such as an Android mobile phone, an iOS mobile phone, a Windows Phone mobile phone, etc.), a tablet computer, a palmtop computer, a notebook computer, a mobile Internet device (MID, Mobile Internet Devices), or a wearable device.
  • a smart phone such as an Android mobile phone, an iOS mobile phone, a Windows Phone mobile phone, etc.
  • a tablet computer such as an Android mobile phone, an iOS mobile phone, a Windows Phone mobile phone, etc.
  • a palmtop computer such as a notebook computer
  • MID Mobile Internet Devices
  • FIG. 1 is a schematic flowchart diagram of a first embodiment of a method for unlocking a fingerprint according to an embodiment of the present invention.
  • the method for unlocking a fingerprint described in this embodiment includes the following steps:
  • the terminal in the process of the user pressing the fingerprint identification module, may collect the fingerprint information of the user through the fingerprint identification module.
  • the fingerprint information may be a feature pattern of the fingerprint collected by the user when the fingerprint recognition module is pressed, or the fingerprint information may be a fingerprint image collected when the user presses the fingerprint recognition module.
  • the fingerprint information may be a fingerprint image, and then the matching value between the collected fingerprint image and the fingerprint template may be compared. If the matching value reaches a certain threshold, the fingerprint image and the fingerprint template may be successfully matched. If the matching value does not reach the certain threshold, the fingerprint image may not be considered to match the fingerprint template.
  • the fingerprint information may be the characteristic texture of the fingerprint, that is, the characteristic contour of the fingerprint included in the fingerprint image. Then, the matching value between the collected feature texture and the fingerprint template may be compared, and if the matching value reaches a certain threshold, the characteristic texture may be considered. The matching with the fingerprint template succeeds. If the matching value does not reach the certain threshold, the feature pattern and the fingerprint template may be considered as not matching.
  • the fingerprint feature can be a feature point of the fingerprint, that is, a corner point of the fingerprint included in the fingerprint image, such as a Harris corner point, a Scale Invariant Feature Transform (SIFT) corner point, then, the feature point and the acquired feature point can be compared. If the matching value of the fingerprint template reaches a certain threshold, the matching between the feature point and the fingerprint template is considered to be successful. If the matching value does not reach the certain threshold, the feature point and the fingerprint template may be considered as not matching.
  • SIFT Scale Invariant Feature Transform
  • the preset fingerprint matching data includes N sets of fingerprints, and each set of fingerprints includes multiple fingerprints.
  • a template and each of the N sets of fingerprints corresponds to a uniquely identified group number, and the N is an integer greater than 1.
  • the preset fingerprint matching data may be stored in the terminal, where the fingerprint matching data includes N sets of fingerprints, and each set of fingerprints includes multiple fingerprint templates, where N is an integer greater than 1.
  • the terminal may number the N sets of fingerprints, and the numbers may be numbered in a certain order, or randomly numbered. After the number is completed, each of the N sets of fingerprints corresponds to a group number that uniquely identifies the group. Further, the terminal may determine a target group number of the fingerprint with the highest similarity among the fingerprint information and the preset fingerprint matching data, where the preset fingerprint matching data includes N sets of fingerprints, and each set of fingerprints includes multiple fingerprints.
  • the terminal may match the fingerprint information with the at least one fingerprint template of each of the N sets of fingerprints, and use the obtained set of fingerprints corresponding to the largest matching value as the set of fingerprints with the highest similarity.
  • the terminal may match a part of the fingerprint information of the fingerprint information with a part of the fingerprint information of the at least one fingerprint template of each of the N sets of fingerprints, and the set of fingerprints corresponding to the obtained maximum matching value is regarded as the highest similarity.
  • Group fingerprint is regarded as the highest similarity.
  • the N sets of fingerprints may be fingerprints corresponding to multiple fingers of one user, or fingerprints of different users.
  • the first set of fingerprints is from the fingerprint of the left middle finger of the user, wherein 5 fingerprint templates are included, that is, the user at least presses the left middle finger 5 times during the fingerprint registration process
  • second The fingerprint of the group comes from the fingerprint of the left thumb of the user
  • the fingerprint of the third group is from the fingerprint of the thumb of the right hand of the user
  • 10 fingerprint templates are included
  • the fingerprints of the three groups are numbered. If the number of the fingerprint templates included is numbered from less to more, it can be seen that the group number corresponding to the first group is 1, the group number corresponding to the second group is 2, and the group number corresponding to the third group is 3.
  • a matching value when the terminal matches the fingerprint information with any fingerprint template, a matching value can be obtained.
  • the terminal matches the fingerprint information with at least one fingerprint template in each of the N sets of fingerprints a plurality of matching values are obtained. That is, the fingerprint information is firstly compared with each of the N sets of fingerprints to determine which of the N sets of fingerprints is most similar. example For example, a plurality of sets of fingerprints are stored in the terminal, and the plurality of sets of fingerprints are respectively from different fingers. Since the fingerprints of different fingers are different, that is, the fingerprint information of A is matched with the fingerprint information of B, Then the matching value of the two is very low. Generally, the matching value will be below 10%.
  • the terminal may determine a maximum matching value of the multiple matching values, and determine whether the maximum matching value is greater than or equal to a first preset threshold, where the first preset threshold may be 75%, 80%, 85%, 90% 91%, 91.1%, 95%, etc., which are not limited herein.
  • the terminal may determine the target group number of the fingerprint template corresponding to the maximum matching value.
  • the unlocking is performed, where the target matching value is corresponding to the fingerprint template in which the matching value between the fingerprint and the fingerprint information of the target group number is greater than the first preset threshold. Match value.
  • the step 103 may be implemented as follows: matching the fingerprint information with the fingerprint template that is not matched in the fingerprint corresponding to the target group number. That is, in step 102, it is known that some fingerprint templates in the fingerprint corresponding to the target group number have been matched. Then, in step 103, the fingerprint template that is not matched in the corresponding fingerprint in the target group number can be determined, and the fingerprint information is obtained. The fingerprint template in the fingerprint corresponding to the target group number is matched.
  • the first preset threshold may be 0.6, 0.65, 0.7, 0.75, 0.8, 0.811, 0.85, 0.9, 0.95, etc., which is not limited herein.
  • the foregoing process of unlocking may include the following situations: for example, the terminal may be in a screen-off state before step 101, and then the screen may be illuminated and the unlocked desktop icon may be displayed; for example, the terminal is before step 101. If the screen is in a bright state, the unlocked desktop icon may be displayed; for example, if the terminal is in the off state before step 101, the screen may be illuminated, and the application associated with the successfully matched fingerprint template is started, or Opening a preset page of the application associated with the fingerprint template; for example, if the terminal is in a bright state before step 101, the application associated with the successfully matched fingerprint template may be started, or the fingerprint template may be opened.
  • the preset page of the application wherein the preset page is also applicable to the main page, or the specified page, or the most frequently used page.
  • fingerprint information is acquired, and fingerprint information and preset fingerprint matching data are determined.
  • the matching value between the fingerprint and the fingerprint information in the fingerprint is greater than the matching value of the fingerprint template of the first preset threshold.
  • At least one fingerprint template of the plurality of sets of fingerprints may be matched with the fingerprint information to determine which of the plurality of sets of fingerprints is most similar to the fingerprint information, and then further matched with the fingerprint template of the most similar set of fingerprints. Therefore, it is possible to reduce the number of fingerprint matching and improve the efficiency of fingerprint unlocking.
  • FIG. 2 is a schematic flowchart diagram of a second embodiment of a method for unlocking a fingerprint according to an embodiment of the present invention.
  • the method for unlocking a fingerprint described in this embodiment includes the following steps:
  • each of the N sets of fingerprints in the preset fingerprint matching data matches the fingerprint information with at least one fingerprint template in each of the N sets of fingerprints in the preset fingerprint matching data to obtain a plurality of matching values, where the preset fingerprint matching data
  • the N sets of fingerprints are included, each set of fingerprints includes a plurality of fingerprint templates, and each of the N sets of fingerprints corresponds to a uniquely identified group number, and the N is an integer greater than 1.
  • the terminal may match the fingerprint information with at least one fingerprint template of each of the N sets of fingerprints, and use the obtained set of fingerprints corresponding to the largest matching value as the set of fingerprints with the highest similarity.
  • the terminal may match a part of the fingerprint information of the fingerprint information with a part of the fingerprint information of the at least one fingerprint template of each of the N sets of fingerprints, and the set of fingerprints corresponding to the obtained maximum matching value is regarded as the highest similarity.
  • Group fingerprint is regarded as the highest similarity.
  • the terminal matches the fingerprint information with at least one fingerprint template in each of the N sets of fingerprints in the preset fingerprint matching data to obtain a plurality of matching values
  • the main implementation manner may be: the terminal sets the fingerprint information. Matching the fingerprint template with the most matching success times in each of the N sets of fingerprints; or, the terminal matches the fingerprint information with the fingerprint template with the highest matching success frequency in the preset time period in each of the N sets of fingerprints .
  • the preset time may be 24 hours, 1 week, 1 month, 1 year, etc., and is not limited herein.
  • the group number is the target group number, wherein the first preset threshold is greater than the second preset threshold.
  • the first preset threshold when the maximum matching value is less than or equal to the first preset threshold and greater than the second preset threshold, the first preset threshold is greater than the second preset threshold.
  • the terminal determines the target group number of the fingerprint template corresponding to the largest matching value among the multiple matching values.
  • the second preset threshold is 0.1, 0.2, 00.5, 0.3, 0.4, 0.5, 0.045, 0.23, 0.341, and the like, which are not limited herein.
  • the purpose of setting the two thresholds is to directly unlock the maximum matching value if the maximum matching value is greater than the first preset threshold. If the maximum matching value is smaller than the second preset threshold, the maximum matching value is too low.
  • the terminal may match the fingerprint information to the unmatched fingerprint template in the fingerprint corresponding to the template group number, because, in the process of step 202, the fingerprint template in the fingerprint corresponding to the target group number is inevitable. Has been matched.
  • the terminal may sequentially match the fingerprint information with each of the multiple fingerprint templates. Assuming that the unmatched fingerprint templates have A, B, and C, the fingerprint information may be first matched with A. If the matching fails, that is, the matching value is lower than the first preset threshold, then the fingerprint information is matched with B. If the match is successful, then unlocking does not need to match the fingerprint information with C.
  • step 204 may be implemented to match the fingerprint information with the unmatched fingerprint template of the fingerprint corresponding to the target group number. That is, in step 202, it is known that some fingerprint templates in the fingerprint corresponding to the target group number have been matched. Then, in step 204, the fingerprint information that is not matched in the fingerprint corresponding to the target group number can be matched. .
  • Target matching value is a fingerprint template corresponding to the fingerprint template in which the matching value between the fingerprint and the fingerprint information is greater than the first preset threshold. Match value.
  • the terminal may add 1 to the number of successful matching of the target group number.
  • the N group refers to Sorting the order according to the number of matching successes from high to low, and renumbering the sorted N sets of fingerprints, so that the terminal will be acquired next time according to the renumbered order.
  • the fingerprint information is matched with the N sets of fingerprints.
  • the N sets of fingerprints may be sorted according to the number of successful matching times, wherein the preset requirement may be:
  • the number of successful matches is an integer multiple of a certain number.
  • the preset requirement may be that the number of matching successes reaches a certain threshold.
  • multiple thresholds may be set in the terminal, 100, 200, 500, 1000, 2000, 3000, etc., when these thresholds are reached, N sets of fingerprints are obtained. Sorts in descending order of the number of successful matches. Further, after the sorting is completed, the terminal may match the fingerprint information acquired next time with the N sets of fingerprints in the order of renumbering.
  • the terminal also collects statistics on the number of times each fingerprint template in each group of fingerprints is used for successful unlocking, and the fingerprint template that is successfully matched in each group and the first fingerprint information. Make a match.
  • the fingerprint information is obtained, and the target group number of the fingerprint with the highest similarity among the fingerprint information and the preset fingerprint matching data is determined, wherein the preset fingerprint matching data includes N sets of fingerprints, and each set of fingerprints
  • the fingerprint template is included, and each of the N sets of fingerprints corresponds to a uniquely identified group number, and N is an integer greater than 1, and the fingerprint information is matched with the fingerprint template in the fingerprint corresponding to the target group number, and the target is matched.
  • the unlocking is performed, where the target matching value is a matching value corresponding to the fingerprint template in which the matching value between the fingerprint and the fingerprint information in the fingerprint of the target group number is greater than the first preset threshold.
  • At least one fingerprint template of the plurality of sets of fingerprints may be matched with the fingerprint information to determine which of the plurality of sets of fingerprints is most similar to the fingerprint information, and then further matched with the fingerprint template of the most similar set of fingerprints. Therefore, it is possible to reduce the number of fingerprint matching and improve the efficiency of fingerprint unlocking. It is also possible to sort multiple sets of fingerprints according to the number of times of matching, because the efficiency of unlocking is more optimized.
  • FIG. 3 is a schematic flowchart diagram of a third embodiment of a method for unlocking a fingerprint according to an embodiment of the present invention.
  • the method for unlocking a fingerprint described in this embodiment includes the following steps:
  • the matching data includes N sets of fingerprints, each set of fingerprints includes a plurality of fingerprint templates, and each of the N sets of fingerprints corresponds to a uniquely identified group number, and the N is an integer greater than 1.
  • the terminal may match the fingerprint information with at least one fingerprint template of each of the N sets of fingerprints, and use the obtained set of fingerprints corresponding to the largest matching value as the set of fingerprints with the highest similarity.
  • the terminal may match a part of the fingerprint information of the fingerprint information with a part of the fingerprint information of the at least one fingerprint template of each of the N sets of fingerprints, and the set of fingerprints corresponding to the obtained maximum matching value is regarded as the highest similarity.
  • Group fingerprint is regarded as the highest similarity.
  • the maximum matching value of the multiple matching values is greater than the first preset threshold, and determining that the group number of the fingerprint template corresponding to the largest matching value of the multiple matching values is the target group number, and unlocking .
  • the first preset threshold is a matching point of the successful unlocking, and if the maximum matching value is greater than the first preset threshold Then, the group number of the fingerprint template corresponding to the maximum matching value is directly the target group number, and then the unlocking operation is performed.
  • the fingerprint information is obtained, and the fingerprint information is matched with at least one fingerprint template of each of the N sets of fingerprints in the preset fingerprint matching data to obtain a plurality of matching values, wherein the preset fingerprint is obtained.
  • the matching data includes N sets of fingerprints, each set of fingerprints includes multiple fingerprint templates, and each of the N sets of fingerprints corresponds to a uniquely identified group number, N is an integer greater than 1, and the maximum matching value among the plurality of matching values
  • the group number of the fingerprint template corresponding to the largest matching value among the plurality of matching values is determined as the target group number, and is unlocked. Therefore, in the process of matching at least one of the plurality of sets of fingerprints, if the maximum matching value is greater than the first preset threshold, the unlocking is directly performed, thereby improving the efficiency of unlocking the terminal.
  • FIG. 4 is a schematic structural diagram of a first embodiment of a terminal according to an embodiment of the present invention.
  • the terminal described in this embodiment includes: an obtaining unit 401, a first determining unit 402, a first matching unit 403, and an unlocking unit 404, as follows:
  • the obtaining unit 401 is configured to acquire fingerprint information.
  • the first determining unit 402 is configured to determine a target group number of the fingerprint with the highest similarity among the fingerprint information acquired by the acquiring unit 401 and the preset fingerprint matching data, where the preset fingerprint matching data Containing N sets of fingerprints, each set of fingerprints includes multiple fingerprint templates, and the N sets of fingerprints Each of the groups corresponds to a uniquely identified group number, and the N is an integer greater than one.
  • the first matching unit 403 is configured to match the fingerprint information acquired by the acquiring unit 401 with the fingerprint template in the fingerprint corresponding to the target group number determined by the first determining unit 402.
  • the unlocking unit 404 is configured to perform unlocking when the first matching unit 403 matches the target matching value, where the target matching value is a matching value between the fingerprint in the fingerprint of the target group number and the fingerprint information. A matching value corresponding to the fingerprint template that is greater than the first preset threshold.
  • the obtaining unit 401 is specifically configured to:
  • fingerprint information is collected, and the fingerprint information is a feature texture or a fingerprint image of the fingerprint.
  • the first determining unit 402 includes:
  • the second matching unit 4021 is configured to match the fingerprint information with at least one fingerprint template in each of the N sets of fingerprints in the preset fingerprint matching data to obtain a plurality of matching values.
  • a second determining unit 4022 configured to determine, when the maximum matching value of the plurality of values matched by the second matching unit 4021 is less than or equal to the first preset threshold and greater than a second preset threshold
  • the group number of the fingerprint template corresponding to the largest matching value of the plurality of matching values is the target group number, wherein the first preset threshold is greater than the second preset threshold.
  • the second matching unit 4021 is specifically configured to:
  • the terminal described in FIG. 4a further includes:
  • the third determining unit 405 is configured to: after the first matching unit 403 matches the fingerprint information acquired by the acquiring unit 401 with the fingerprint template in the fingerprint corresponding to the target group number determined by the first determining unit 402, The maximum matching value of the plurality of matching values is greater than the first preset threshold, and determining that the group number of the fingerprint template corresponding to the largest matching value of the plurality of matching values is the target group number, and The unlocking unit 404 performs unlocking.
  • the terminal described in FIG. 4a may further include:
  • the statistics unit 406 is configured to: after the unlocking unit 404 performs the unlocking, increase the number of successful matching of the target group number by one;
  • the sorting unit 407 is configured to sort the N sets of fingerprints in descending order of the number of matching successes, and compare the sorted positions, when the number of successful matching records recorded by the terminal meets a preset requirement.
  • the N sets of fingerprints are renumbered so that the first matching unit 403 matches the fingerprint information acquired next time with the N sets of fingerprints in the renumbered order.
  • the first matching unit 403 is specifically configured to:
  • the fingerprint information is matched with the fingerprint template that is not matched among the fingerprints corresponding to the target group number.
  • the fingerprint information is obtained by the terminal described in the embodiment of the present invention, and the target group number of the fingerprint with the highest similarity among the fingerprint information and the preset fingerprint matching data is determined, wherein the preset fingerprint matching data includes N sets of fingerprints.
  • Each set of fingerprints includes multiple fingerprint templates, and each of the N sets of fingerprints corresponds to a uniquely identified group number, and N is an integer greater than 1, and the fingerprint information is matched with the fingerprint template in the fingerprint corresponding to the target group number.
  • the unlocking is performed, where the target matching value is a matching value corresponding to the fingerprint template in which the matching value between the fingerprint and the fingerprint information in the fingerprint of the target group number is greater than the first preset threshold.
  • At least one fingerprint template of the plurality of sets of fingerprints may be matched with the fingerprint information to determine which of the plurality of sets of fingerprints is most similar to the fingerprint information, and then further matched with the fingerprint template of the most similar set of fingerprints. Therefore, it is possible to reduce the number of fingerprint matching and improve the efficiency of fingerprint unlocking.
  • FIG. 5 is a schematic structural diagram of a second embodiment of a terminal according to an embodiment of the present invention.
  • the terminal described in this embodiment includes: at least one input device 1000; at least one output device 2000; at least one processor 3000, such as a CPU; and a memory 4000, the input device 1000, the output device 2000, the processor 3000, and the memory 4000 is connected via bus 5000.
  • the input device 1000 may be a physical button, a touch panel, a mouse, or a fingerprint recognition module.
  • the output device 2000 described above may specifically be a display screen.
  • the above memory 4000 may be a high speed RAM memory or a non-volatile memory such as a disk memory.
  • the above memory 4000 is used to store a set of program codes, and the input device 1000, the output device 2000, and the processor 3000 are used to call the memory.
  • the program code stored in 4000 performs the following operations:
  • the processor 3000 is configured to:
  • the preset fingerprint matching data includes N sets of fingerprints, each set of fingerprints includes multiple fingerprint templates, and each of the N sets of fingerprints corresponds to a unique identifier. a group number, the N being an integer greater than one;
  • the input device 1000 is configured to:
  • the processor 3000 is configured to:
  • the preset fingerprint matching data includes N sets of fingerprints, and each set of fingerprints includes multiple fingerprint templates. And each of the N sets of fingerprints corresponds to a uniquely identified group number, and the N is an integer greater than 1;
  • the unlocking is performed, where the target matching value is a matching value corresponding to the fingerprint template in which the matching value between the fingerprint and the fingerprint information in the fingerprint of the target group number is greater than the first preset threshold.
  • the input device 1000 acquires fingerprint information, including:
  • fingerprint information is collected, and the fingerprint information is a feature texture or a fingerprint image of the fingerprint.
  • the processor 3000 determines a target group number of the fingerprint with the highest similarity among the fingerprint information and the preset matching data, including:
  • the maximum matching value of the multiple values is less than or equal to the first preset threshold and greater than the second preset threshold, determining that the group number of the fingerprint template corresponding to the largest matching value of the multiple matching values is a target group number, wherein the first preset threshold is greater than the second preset threshold.
  • the processor 3000 respectively matches the fingerprint information with at least one fingerprint template in each of the N sets of fingerprints in the preset fingerprint matching data, including:
  • the processor 3000 respectively matches the fingerprint information with at least one fingerprint template of each of the N sets of fingerprints in the preset fingerprint matching data to obtain a plurality of matching values, and further specifically to:
  • the method is further specifically configured to:
  • the N sets of fingerprints are sorted in descending order of the number of matching successes, and the sorted N sets of fingerprints are renumbered. So that the terminal matches the fingerprint information acquired next time with the N sets of fingerprints in the sequence after the renumbering.
  • the processor 3000 matches the fingerprint information in the fingerprint template corresponding to the target group number, including:
  • the fingerprint information is matched with the fingerprint template that is not matched among the fingerprints corresponding to the target group number.
  • the input device 1000, the output device 2000, and the processor 3000 described in the embodiments of the present invention may perform the first embodiment, the second embodiment, and the third method of the fingerprint unlocking method provided by the embodiment of the present invention.
  • the implementation manners in the foregoing embodiments may also implement the implementation manners of the terminal in the first embodiment of the terminal provided by the embodiment of the present invention, and details are not described herein again.
  • the embodiment of the present invention further provides a computer storage medium, wherein the computer storage medium can store a program, and the program includes some or all of the steps of the method for unlocking the fingerprint according to any one of the foregoing method embodiments.
  • the disclosed apparatus may be implemented in other ways.
  • the device embodiments described above are merely illustrative.
  • the division of the unit is only a logical function division.
  • there may be another division manner for example, multiple units or components may be combined or may be Integrate into another system, or some features can be ignored or not executed.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be electrical or otherwise.
  • the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.
  • the integrated unit if implemented in the form of a software functional unit and sold or used as a standalone product, may be stored in a computer readable storage medium.
  • the technical solution of the present invention which is essential or contributes to the prior art, or all or part of the technical solution, may be embodied in the form of a software product stored in a storage medium.
  • a number of instructions are included to cause a computer device (which may be a personal computer, server or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention.
  • the foregoing storage medium includes: a U disk, a read-only memory (ROM), and a random access memory.
  • a variety of media that can store program code such as RAM (Random Access Memory), removable hard disk, disk, or optical disk.

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Abstract

本发明实施例提供了一种指纹解锁的方法，所述方法包括：获取指纹信息；确定所述指纹信息与预设的指纹匹配数据中相似度最高的一组指纹的目标组号，其中，所述预设的指纹匹配数据包含N组指纹，每一组指纹包含多个指纹模板，且所述N组指纹中每一组对应一个唯一标识的组号，所述N为大于1的整数；将所述指纹信息与所述目标组号对应的指纹中的指纹模板进行匹配；在匹配出目标匹配值时，进行解锁，其中，所述目标匹配值为所述目标组号所在指纹中与所述指纹信息之间的匹配值大于第一预设阈值的指纹模板对应的匹配值。本发明实施例还提供了一种终端。通过本发明实施例可提高指纹解锁的效率。

Description

一种指纹解锁的方法及终端
本发明要求2016年3月15日递交的发明名称为“一种指纹解锁的方法及终端”的申请号201610147997.2的在先申请优先权，上述在先申请的内容以引入的方式并入本文本中。
技术领域
本发明涉及安全技术领域，具体涉及一种指纹解锁的方法及终端。
背景技术
随着信息技术的快速发展，终端(如手机、平板电脑等等)的使用越来越普及。指纹识别技术作为终端上的标配技术，指纹识别技术不仅可以用于终端的解锁、唤醒、移动支付等等中得到广泛应用。在指纹识别技术流行的同时，为了实现快速解锁，终端的解锁时间也是终端制造商直接关心的问题。在终端中存储了多组指纹的情况时，每组指纹都包含多个指纹模板，在进行解锁过程中，终端中会预存多个指纹模板，在获取到用户输入的指纹信息时，将该指纹信息分别与每组指纹中的每一指纹模板进行匹配，例如，有多组指纹，先将指信息与其中一组的每一指纹模板进行匹配，若匹配失败，则与另一组的每一指纹模板进行匹配，这种方式，降低了指纹解锁的效率。
发明内容
本发明实施例提供了一种终端解锁的方法及终端，可提高指纹解锁的效率。
本发明实施例第一方面提供了一种终端解锁的方法，包括：
获取指纹信息；
确定所述指纹信息与预设的指纹匹配数据中相似度最高的一组指纹的目标组号，其中，所述预设的指纹匹配数据包含N组指纹，每一组指纹包含多个指纹模板，且所述N组指纹中每一组对应一个唯一标识的组号，所述N为大于1的整数；
将所述指纹信息与所述目标组号对应的指纹中的指纹模板进行匹配；
在匹配出目标匹配值时，进行解锁，其中，所述目标匹配值为所述目标组号所在指纹中与所述指纹信息之间的匹配值大于第一预设阈值的指纹模板对应的匹配值。
本发明实施例第二方面提供了一种终端，包括：
获取单元，用于获取指纹信息；
第一确定单元，用于确定所述获取单元获取的所述指纹信息与预设的指纹匹配数据中相似度最高的一组指纹的目标组号，其中，所述预设的指纹匹配数据包含N组指纹，每一组指纹包含多个指纹模板，且所述N组指纹中每一组对应一个唯一标识的组号，所述N为大于1的整数；
第一匹配单元，用于将所述获取单元获取的所述指纹信息与所述第一确定单元确定的所述目标组号对应的指纹中的指纹模板进行匹配；
解锁单元，用于在所述第一匹配单元匹配出目标匹配值时，进行解锁，其中，所述目标匹配值为所述目标组号所在指纹中与所述指纹信息之间的匹配值大于第一预设阈值的指纹模板对应的匹配值。
本发明实施例第三方面提供了一种终端，包括：
存储有可执行程序代码的存储器；
与所述存储器耦合的处理器；
所述处理器调用所述存储器中存储的所述可执行程序代码，执行如本发明实施例第一方面任一方法中所描述的部分或全部步骤。
实施本发明实施例，具有如下有益效果：
通过本发明实施例，获取指纹信息，确定指纹信息与预设的指纹匹配数据中相似度最高的一组指纹的目标组号，其中，预设的指纹匹配数据包含N组指纹，每一组指纹包含多个指纹模板，且N组指纹中每一组对应一个唯一标识的组号，N为大于1的整数，将指纹信息与目标组号对应的指纹中的指纹模板进行匹配，在匹配出目标匹配值时，进行解锁，其中，所述目标匹配值为所述目标组号所在指纹中与所述指纹信息之间的匹配值大于第一预设阈值的指纹模板对应的匹配值。从而，可将多组指纹中选出至少一个指纹模板与指纹信息匹配，以确定指纹信息与多组指纹中的哪一组最相似，再进一步与最相似的 一组指纹中的指纹模板进行匹配，从而，可能减少指纹匹配的次数，提高了指纹解锁的效率。
附图说明
为了更清楚地说明本发明实施例中的技术方案，下面将对实施例描述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是本发明实施例提供的一种指纹解锁的方法的第一实施例流程示意图；
图2是本发明实施例提供的一种指纹解锁的方法的第二实施例流程示意图；
图3是本发明实施例提供的一种指纹解锁的方法的第三实施例流程示意图；
图4a是本发明实施例提供的一种终端的第一实施例结构示意图；
图4b是本发明实施例提供的一种终端的第一实施例又一结构示意图；
图4c是本发明实施例提供的一种终端的第一实施例又一结构示意图；
图5是本发明实施例提供的一种终端的第二实施例结构示意图。
具体实施方式
本发明实施例提供了一种终端解锁的方法及终端，可提高指纹解锁的效率。
下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。
本发明的说明书和权利要求书及所述附图中的术语“第一”、“第二”、“第三”和“第四”等是用于区别不同对象，而不是用于描述特定顺序。此外，术语“包括”和“具有”以及它们任何变形，意图在于覆盖不排他的包含。例如包含了一系列步骤或单元的过程、方法、系统、产品或设备没有限定于已列出 的步骤或单元，而是可选地还包括没有列出的步骤或单元，或可选地还包括对于这些过程、方法、产品或设备固有的其它步骤或单元。
在本文中提及“实施例”意味着，结合实施例描述的特定特征、结构或特性可以包含在本发明的至少一个实施例中。在说明书中的各个位置出现该短语并不一定均是指相同的实施例，也不是与其它实施例互斥的独立的或备选的实施例。本领域技术人员显式地和隐式地理解的是，本文所描述的实施例可以与其它实施例相结合。
本发明实施例所描述的终端可以包括智能手机(如Android手机、iOS手机、Windows Phone手机等)、平板电脑、掌上电脑、笔记本电脑、移动互联网设备(MID，Mobile Internet Devices)或穿戴式设备等，上述终端仅是举例，而非穷举，包含但不限于上述终端。
请参阅图1，为本发明实施例提供的一种指纹解锁的方法的第一实施例流程示意图。本实施例中所描述的指纹解锁的方法，包括以下步骤：
101、获取指纹信息。
本发明实施例中，在用户按压指纹识别模组的过程中，终端可通过指纹识别模组采集用户的指纹信息。可选地，该指纹信息可为用户按压指纹识别模组时候采集的指纹的特征纹路，或者，该指纹信息可为用户按压指纹识别模组时采集的指纹图像。
本发明实施例中，指纹信息可为指纹图像，那么，可比对采集的指纹图像和指纹模板之间的匹配值，若匹配值达到某个阈值，则可认为指纹图像与指纹模板匹配成功，若匹配值未达到该某个阈值，则可认为指纹图像与指纹模板不匹配。指纹信息可为指纹的特征纹路，即指纹图像中包含的指纹的特征轮廓，那么，可比对采集的特征纹路和指纹模板之间的匹配值，若匹配值达到某个阈值，则可认为特征纹路与指纹模板匹配成功，若匹配值未达到该某个阈值，则可认为特征纹路与指纹模板不匹配。指纹特征可为指纹的特征点，即指纹图像中包含的指纹的角点，例如Harris角点、尺度不变特征变换(Scale Invariant Feature Transform，SIFT)角点，那么，可比对采集的特征点和指纹模板之间的匹配值，若匹配值达到某个阈值，则可认为特征点与指纹模板匹配成功，若匹配值未达到该某个阈值，则可认为特征点与指纹模板不匹配。
102、确定所述指纹信息与预设的指纹匹配数据中相似度最高的一组指纹的目标组号，其中，所述预设的指纹匹配数据包含N组指纹，每一组指纹包含多个指纹模板，且所述N组指纹中每一组对应一个唯一标识的组号，所述N为大于1的整数。
本发明实施例中，终端中可存储预设的指纹匹配数据，其中，该指纹匹配数据中包含N组指纹，每一组指纹包含多个指纹模板，其中，N为大于1的整数。终端可对N组指纹进行编号，该编号可一定的顺序进行编号，或者，随机编号，编号完后，N组指纹中每一组对应一个唯一标识该该组的组号。进一步地，终端可确定指纹信息与预设的指纹匹配数据中相似度最高的一组指纹的目标组号，其中，该预设的指纹匹配数据包含N组指纹，每一组指纹包含多个指纹模板，且该N组指纹中每一组对应一个唯一标识的组号，该N为大于1的整数。可选地，终端可将指纹信息与该N组指纹中每一组的至少一个指纹模板进行匹配，将得到的最大匹配值对应的一组指纹作为相似度最高的一组指纹。或者，终端可将指纹信息的一部分指纹信息与该N组指纹中每一组的至少一个指纹模板的一部分指纹信息进行匹配，并将得到的最大匹配值对应的一组指纹作为相似度最高的一组指纹。
可选地，该N组指纹可为一个用户的多个手指对应的指纹，或者，不同用户的指纹。例如，有3组指纹，其中，假设第一组指纹来自用户的左手中指的指纹，其中，包含5个指纹模板，即，用户在指纹注册过程中，至少按压了该左手中指5次，第二组指纹来自来自用户的左手大拇指的指纹，其中，包含8个指纹模板，第三组指纹来自于用户的右手大拇指的指纹，其中，包含10个指纹模板，对该3组指纹进行编号，则如果按照包含的指纹模板的数目由少到多进行编号，则可看出第一组对应的组号为1，第二组对应的组号为2，第三组对应的组号为3。
103、将所述指纹信息与所述目标组号对应的指纹中的指纹模板进行匹配。
本发明实施例中，在终端将指纹信息与任一指纹模板进行匹配时，均可得到一个匹配值。在终端将指纹信息分别与N组指纹中每一组中至少一个指纹模板进行匹配时，可得到多个匹配值。即，将指纹信息与N组指纹中每一组指纹进行初次比较，以判断该指纹信息与N组指纹中哪一组指纹最相似。例 如，终端中存储了多组指纹，该多组指纹分别来自于不同的手指，由于不同的手指的指纹之间差异性较大，即，将A的指纹信息与B的指纹信息进行匹配的话，则两者的匹配值非常低，通常情况下，匹配值会在10％以下，因而，可先确定需要匹配的指纹信息来自于N组指纹的具体哪一组。终端可确定出多个匹配值中的最大匹配值，并判断该最大匹配值是否大于或等于第一预设阈值，其中，第一预设阈值可为75％、80％、85％、90％、91％、91.1％、95％等等，在此不作限定。在最大匹配值小于第一预设阈值时，终端可确定最大匹配值对应的指纹模板所在的目标组号。
104、在匹配出目标匹配值时，进行解锁，其中，所述目标匹配值为所述目标组号所在指纹中与所述指纹信息之间的匹配值大于第一预设阈值的指纹模板对应的匹配值。
本发明实施例中，步骤103可按照如下方式实施，将所述指纹信息与所述目标组号对应的指纹中未被匹配过的指纹模板进行匹配。即在步骤102中可知，目标组号对应的指纹中有部分指纹模板已经被匹配，那么，在步骤103中，可确定出目标组号中对应的指纹中未进行匹配的指纹模板，将指纹信息与目标组号对应的指纹中的指纹模板进行匹配。在指纹信息与目标组号对应的指纹中的指纹模板进行匹配过程中，若出现目标匹配值，则进行解锁，该目标匹配值对应指纹中的指纹模板中与该指纹信息之间的匹配值大于上述第一预设阈值时，进行解锁。其中，第一预设阈值可为0.6、0.65、0.7、0.75、0.8、0.811、0.85、0.9、0.95等等，在此不作限定。
可选地，上述进行解锁的过程可包括如下情况：例如，终端在步骤101之前，处于灭屏状态下，则可点亮屏幕，并展示解锁后的桌面图标；又例如，终端在步骤101之前，处于亮屏状态下，则可展示解锁后的桌面图标；又例如，终端在步骤101之前，处于灭屏状态下，则可点亮屏幕，则启动与匹配成功的指纹模板关联的应用，或者，打开与该指纹模板关联的应用的预设页面；又例如，终端在步骤101之前，处于亮屏状态下，则可启动与匹配成功的指纹模板关联的应用，或者，打开与该指纹模板关联的应用的预设页面，其中，上述预设页面也可应用的主页面，或者，指定页面，或者，使用频率最高的页面。
通过本发明实施例，获取指纹信息，确定指纹信息与预设的指纹匹配数据 中相似度最高的一组指纹的目标组号，其中，预设的指纹匹配数据包含N组指纹，每一组指纹包含多个指纹模板，且N组指纹中每一组对应一个唯一标识的组号，N为大于1的整数，将指纹信息与目标组号对应的指纹中的指纹模板进行匹配，在匹配出目标匹配值时，进行解锁，其中，所述目标匹配值为所述目标组号所在指纹中与所述指纹信息之间的匹配值大于第一预设阈值的指纹模板对应的匹配值。从而，可将多组指纹中选出至少一个指纹模板与指纹信息匹配，以确定指纹信息与多组指纹中的哪一组最相似，再进一步与最相似的一组指纹中的指纹模板进行匹配，从而，可能减少指纹匹配的次数，提高了指纹解锁的效率。
请参阅图2，为本发明实施例提供的一种指纹解锁的方法的第二实施例流程示意图。本实施例中所描述的指纹解锁的方法，包括以下步骤：
201、获取指纹信息。
202、分别将所述指纹信息与预设的指纹匹配数据中的所述N组指纹中每一组中至少一个指纹模板进行匹配，得到多个匹配值，其中，所述预设的指纹匹配数据包含N组指纹，每一组指纹包含多个指纹模板，且所述N组指纹中每一组对应一个唯一标识的组号，所述N为大于1的整数。
本发明实施例中，终端可将指纹信息与该N组指纹中每一组的至少一个指纹模板进行匹配，将得到的最大匹配值对应的一组指纹作为相似度最高的一组指纹。或者，终端可将指纹信息的一部分指纹信息与该N组指纹中每一组的至少一个指纹模板的一部分指纹信息进行匹配，并将得到的最大匹配值对应的一组指纹作为相似度最高的一组指纹。
需要说明的是，终端分别将指纹信息与预设的指纹匹配数据中的N组指纹中每一组中至少一个指纹模板进行匹配，得到多个匹配值，主要实现方式可为：终端将指纹信息与N组指纹中每一组中被匹配成功次数最多的指纹模板进行匹配；或者，终端将指纹信息与N组指纹中每一组中预设时间段内被匹配成功频率最高的指纹模板进行匹配。其中，预设时间可为24小时，1个星期，1个月，1年，等等，在此不作限定。
203、在所述多个匹配值中的最大匹配值小于或等于所述第一预设阈值且大于第二预设阈值时，确定所述多个匹配值中最大匹配值对应的指纹模板所在 的组号为目标组号，其中，所述第一预设阈值大于所述第二预设阈值。
本发明实施例中，最大匹配值小于或等于第一预设阈值且大于第二预设阈值时，其中，该第一预设阈值大于第二预设阈值。终端才确定该多个匹配值中最大匹配值对应的指纹模板所在的目标组号。其中，第二预设阈值为0.1、0.2、00.5、0.3、0.4、0.5、0.045、0.23、0.341等等，在此不做限定。设置两个阈值的目的主要在于，若最大匹配值大于第一预设阈值，则直接进行解锁，若最大匹配值小于第二预设阈值，则说明该最大匹配值太低，没啥比较意义，因而，直接提示用户重新输入指纹信息，可提高终端的解锁效率。从而，可保证有多组指纹模板时，不必在最大匹配值较小时，还进行匹配，若进行匹配，则会耽误太多解锁时间。
204、将所述指纹信息与所述目标组号对应的指纹中的指纹模板进行匹配。
可选地，终端可将指纹信息与模板组号对应的指纹中的未被匹配的指纹模板进行匹配，因为，在步骤202的过程中，在目标组号对应的指纹中的必然有部分指纹模板已经被匹配过。
具体地，假设未进行匹配的指纹模板有多个，那么，终端可依次将指纹信息与该多个指纹模板中的每一指纹模板分别进行匹配。假设未匹配的指纹模板有A、B、C，那么，可首先将指纹信息与A进行匹配，若匹配失败，即匹配值低于上述第一预设阈值，那么，将指纹信息与B进行匹配，若匹配成功，那么，进行解锁，则不用再将指纹信息与C进行匹配。
可选地，步骤204可按照如下方式实施，将所述指纹信息与所述目标组号对应的指纹中未被匹配过的指纹模板进行匹配。即在步骤202中可知，目标组号对应的指纹中有部分指纹模板已经被匹配，那么，在步骤204中，可将指纹信息与目标组号对应的指纹中未被匹配过的指纹模板进行匹配。
205、在匹配出目标匹配值时，进行解锁，其中，所述目标匹配值为所述目标组号所在指纹中与所述指纹信息之间的匹配值大于第一预设阈值的指纹模板对应的匹配值。
206、将所述目标组号的匹配成功的次数加1。
本发明实施例中，终端可对目标组号的匹配成功的次数加1。
207、当所述终端记录的匹配成功的次数满足预设要求时，将所述N组指 纹按照匹配成功的次数由高到低的顺序进行排序，并对所述排序后的所述N组指纹进行重新编号，以使得所述终端按照所述重新编号后的顺序将下次获取到的指纹信息与所述N组指纹进行匹配。
本发明实施例中，在终端中记录的匹配成功的次数满足预设要求时，则可对N组指纹按照匹配成功的次数由高到低的进行排序，其中，预设要求可为，记录的匹配成功的次数为某个数的整数倍。或者，预设要求可为匹配成功的次数达到一定阈值，例如，终端中可自行设置多个阈值，100、200、500、1000、2000、3000等等，当达到这些阈值时，对N组指纹按照匹配成功的次数由高到低的顺序进行排序。进一步地，在排序完后，终端可按照上述重新编号后的顺序将下次获取到的指纹信息与该N组指纹进行匹配。
进一步地，本发明实施例中，终端还会对每组指纹中的每一指纹模板被用于成功解锁的次数进行统计，可将每一组中被匹配成功的指纹模板与最先与指纹信息进行匹配。
通过本发明实施例，获取指纹信息，确定指纹信息与预设的指纹匹配数据中相似度最高的一组指纹的目标组号，其中，预设的指纹匹配数据包含N组指纹，每一组指纹包含多个指纹模板，且N组指纹中每一组对应一个唯一标识的组号，N为大于1的整数，将指纹信息与目标组号对应的指纹中的指纹模板进行匹配，在匹配出目标匹配值时，进行解锁，其中，所述目标匹配值为所述目标组号所在指纹中与所述指纹信息之间的匹配值大于第一预设阈值的指纹模板对应的匹配值。从而，可将多组指纹中选出至少一个指纹模板与指纹信息匹配，以确定指纹信息与多组指纹中的哪一组最相似，再进一步与最相似的一组指纹中的指纹模板进行匹配，从而，可能减少指纹匹配的次数，提高了指纹解锁的效率。并可对多组指纹按照被匹配次数的多少进行排序，因为，更加优化了解锁的效率。
请参阅图3，为本发明实施例提供的一种指纹解锁的方法的第三实施例流程示意图。本实施例中所描述的指纹解锁的方法，包括以下步骤：
301、获取指纹信息。
302、分别将所述指纹信息与预设的指纹匹配数据中的所述N组指纹中每一组中至少一个指纹模板进行匹配，得到多个匹配值，其中，所述预设的指纹 匹配数据包含N组指纹，每一组指纹包含多个指纹模板，且所述N组指纹中每一组对应一个唯一标识的组号，所述N为大于1的整数。
本发明实施例中，终端可将指纹信息与该N组指纹中每一组的至少一个指纹模板进行匹配，将得到的最大匹配值对应的一组指纹作为相似度最高的一组指纹。或者，终端可将指纹信息的一部分指纹信息与该N组指纹中每一组的至少一个指纹模板的一部分指纹信息进行匹配，并将得到的最大匹配值对应的一组指纹作为相似度最高的一组指纹。
303、在所述多个匹配值中的最大匹配值大于所述第一预设阈值，确定所述多个匹配值中最大匹配值对应的指纹模板所在的组号为目标组号，并进行解锁。
本发明实施例种，在多个匹配值中的最大匹配值大于第一预设阈值时，其中，该第一预设阈值为解锁成功的匹配点，若最大匹配值大于该第一预设阈值，则直接将该最大匹配值对应的指纹模板所在的组号为目标组号，然后，进行解锁操作。
通过本发明实施例，获取指纹信息，分别将指纹信息与预设的指纹匹配数据中的N组指纹中每一组中至少一个指纹模板进行匹配，得到多个匹配值，其中，预设的指纹匹配数据包含N组指纹，每一组指纹包含多个指纹模板，且N组指纹中每一组对应一个唯一标识的组号，N为大于1的整数，在多个匹配值中的最大匹配值大于第一预设阈值，确定多个匹配值中最大匹配值对应的指纹模板所在的组号为目标组号，并进行解锁。因而，在对多组指纹中的至少一个模板进行匹配过程中，若出现最大匹配值大于第一预设阈值时，直接进行解锁，可提高终端解锁的效率。
请参阅图4a，为本发明实施例提供的一种终端的第一实施例结构示意图。本实施例中所描述的终端，包括：获取单元401、第一确定单元402、第一匹配单元403和解锁单元404，具体如下：
获取单元401，用于获取指纹信息。
第一确定单元402，用于确定所述获取单元401获取的所述指纹信息与预设的指纹匹配数据中相似度最高的一组指纹的目标组号，其中，所述预设的指纹匹配数据包含N组指纹，每一组指纹包含多个指纹模板，且所述N组指纹 中每一组对应一个唯一标识的组号，所述N为大于1的整数。
第一匹配单元403，用于将所述获取单元401获取的所述指纹信息与所述第一确定单元402确定的所述目标组号对应的指纹中的指纹模板进行匹配。
解锁单元404，用于在所述第一匹配单元403匹配出目标匹配值时，进行解锁，其中，所述目标匹配值为所述目标组号所在指纹中与所述指纹信息之间的匹配值大于第一预设阈值的指纹模板对应的匹配值。
可选地，所述获取单元401具体用于：
在用户按压指纹识别模组的过程中，采集指纹信息，所述指纹信息为指纹的特征纹路或者指纹图像。
可选地，第一确定单元402包括：
第二匹配单元4021，用于分别将所述指纹信息与预设的指纹匹配数据中的所述N组指纹中每一组中至少一个指纹模板进行匹配，得到多个匹配值。
第二确定单元4022，用于在所述第二匹配单元4021匹配出的所述多个值中的最大匹配值小于或等于所述第一预设阈值且大于第二预设阈值时，确定所述多个匹配值中最大匹配值对应的指纹模板所在的组号为目标组号，其中，所述第一预设阈值大于所述第二预设阈值。
可选地，所述第二匹配单元4021具体用于：
将所述指纹信息与所述N组指纹中每一组中被匹配成功次数最多的指纹模板进行匹配；
或者，
将所述指纹信息与所述N组指纹中每一组中预设时间段内被匹配成功频率最高的指纹模板进行匹配。
作为一种可能的实施方式，如图4b所示，图4a中所描述的终端还包括：
第三确定单元405，用于第一匹配单元403将所述获取单元401获取的所述指纹信息与所述第一确定单元402确定的所述目标组号对应的指纹中的指纹模板进行匹配之后，在所述多个匹配值中的最大匹配值大于所述第一预设阈值，确定所述多个匹配值中最大匹配值对应的指纹模板所在的组号为目标组号，并由所述解锁单元404进行解锁。
作为一种可能的实施方式，如图4c所示，图4a中所描述的终端还可包括：
统计单元406，用于所述解锁单元404进行解锁后，将所述目标组号的匹配成功的次数加1；
排序单元407，用于当所述终端记录的匹配成功的次数满足预设要求时，将所述N组指纹按照匹配成功的次数由高到低的顺序进行排序，并对所述排序后的所述N组指纹进行重新编号，以使得所述第一匹配单元403按照所述重新编号后的顺序将下次获取到的指纹信息与所述N组指纹进行匹配。
可选地，第一匹配单元403具体用于：
将所述指纹信息与所述目标组号对应的指纹中未被匹配过的指纹模板进行匹配。
通过本发明实施例所描述的终端，获取指纹信息，确定指纹信息与预设的指纹匹配数据中相似度最高的一组指纹的目标组号，其中，预设的指纹匹配数据包含N组指纹，每一组指纹包含多个指纹模板，且N组指纹中每一组对应一个唯一标识的组号，N为大于1的整数，将指纹信息与目标组号对应的指纹中的指纹模板进行匹配，在匹配出目标匹配值时，进行解锁，其中，所述目标匹配值为所述目标组号所在指纹中与所述指纹信息之间的匹配值大于第一预设阈值的指纹模板对应的匹配值。从而，可将多组指纹中选出至少一个指纹模板与指纹信息匹配，以确定指纹信息与多组指纹中的哪一组最相似，再进一步与最相似的一组指纹中的指纹模板进行匹配，从而，可能减少指纹匹配的次数，提高了指纹解锁的效率。
请参阅图5，为本发明实施例提供的一种终端的第二实施例结构示意图。本实施例中所描述的终端，包括：至少一个输入设备1000；至少一个输出设备2000；至少一个处理器3000，例如CPU；和存储器4000，上述输入设备1000、输出设备2000、处理器3000和存储器4000通过总线5000连接。
其中，上述输入设备1000具体可为物理按键、触控面板、鼠标或者指纹识别模组。
上述输出设备2000具体可为显示屏。
上述存储器4000可以是高速RAM存储器，也可为非不稳定的存储器(non-volatile memory)，例如磁盘存储器。上述存储器4000用于存储一组程序代码，上述输入设备1000、输出设备2000和处理器3000用于调用存储器 4000中存储的程序代码，执行如下操作：
上述处理器3000，用于：
获取终端中预设的指纹匹配数据，其中，所述预设的指纹匹配数据包含N组指纹，每一组指纹包含多个指纹模板，且所述N组指纹中每一组对应一个唯一标识的组号，所述N为大于1的整数；
上述输入设备1000，用于：
获取指纹信息；
上述处理器3000，用于：
确定所述指纹信息与预设的指纹匹配数据中相似度最高的一组指纹的目标组号，其中，所述预设的指纹匹配数据包含N组指纹，每一组指纹包含多个指纹模板，且所述N组指纹中每一组对应一个唯一标识的组号，所述N为大于1的整数；
将所述指纹信息与所述目标组号对应的指纹中的指纹模板进行匹配；
在匹配出目标匹配值时，进行解锁，其中，所述目标匹配值为所述目标组号所在指纹中与所述指纹信息之间的匹配值大于第一预设阈值的指纹模板对应的匹配值。
可选地，上述输入设备1000获取指纹信息，包括：
在用户按压指纹识别模组的过程中，采集指纹信息，所述指纹信息为指纹的特征纹路或者指纹图像。
可选地，上述处理器3000确定所述指纹信息与预设匹配数据中相似度最高的一组指纹的目标组号，包括：
分别将所述指纹信息与预设的指纹匹配数据中的所述N组指纹中每一组中至少一个指纹模板进行匹配，得到多个匹配值；
在所述多个值中的最大匹配值小于或等于所述第一预设阈值且大于第二预设阈值时，确定所述多个匹配值中最大匹配值对应的指纹模板所在的组号为目标组号，其中，所述第一预设阈值大于所述第二预设阈值。
可选地，上述处理器3000分别将所述指纹信息与预设的指纹匹配数据中的所述N组指纹中每一组中至少一个指纹模板进行匹配，包括：
将所述指纹信息与所述N组指纹中每一组中被匹配成功次数最多的指纹 模板进行匹配；
或者，
将所述指纹信息与所述N组指纹中每一组中预设时间段内被匹配成功频率最高的指纹模板进行匹配。
可选地，上述处理器3000分别将所述指纹信息与预设的指纹匹配数据中的所述N组指纹中每一组中至少一个指纹模板进行匹配，得到多个匹配值之后，还具体用于：
在所述多个匹配值中的最大匹配值大于所述第一预设阈值，确定所述多个匹配值中最大匹配值对应的指纹模板所在的组号为目标组号，并执行所述进行解锁的步骤。
可选地，上述处理器3000进行解锁之后，还具体用于：
将所述目标组号的匹配成功的次数加1；
当终端记录的匹配成功的次数满足预设要求时，将所述N组指纹按照匹配成功的次数由高到低的顺序进行排序，并对所述排序后的所述N组指纹进行重新编号，以使得所述终端按照所述重新编号后的顺序将下次获取到的指纹信息与所述N组指纹进行匹配。
可选地，上述处理器3000将所述指纹信息与所述目标组号对应的指纹中的指纹模板进行匹配，包括：
将所述指纹信息与所述目标组号对应的指纹中未被匹配过的指纹模板进行匹配。
具体实现中，本发明实施例中所描述的输入设备1000、输出设备2000和处理器3000可执行本发明实施例提供的一种指纹解锁的方法的第一实施例、第二实施例和第三实施例中所描述的实现方式，也可执行本发明实施例提供的一种终端的第一实施例中所描述的终端的实现方式，在此不再赘述。
本发明实施例还提供一种计算机存储介质，其中，该计算机存储介质可存储有程序，该程序执行时包括上述方法实施例中记载的任意一种指纹解锁的方法的部分或全部步骤。
在上述实施例中，对各个实施例的描述都各有侧重，某个实施例中没有详述的部分，可以参见其他实施例的相关描述。
需要说明的是，对于前述的各方法实施例，为了简单描述，故将其都表述为一系列的动作组合，但是本领域技术人员应该知悉，本发明并不受所描述的动作顺序的限制，因为依据本发明，某些步骤可以采用其他顺序或者同时进行。其次，本领域技术人员也应该知悉，说明书中所描述的实施例均属于优选实施例，所涉及的动作和模块并不一定是本发明所必须的。
在上述实施例中，对各个实施例的描述都各有侧重，某个实施例中没有详述的部分，可以参见其他实施例的相关描述。
在本申请所提供的几个实施例中，应该理解到，所揭露的装置，可通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如所述单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，装置或单元的间接耦合或通信连接，可以是电性或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，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单元中，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单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用软件功能单元的形式实现。
所述集成的单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本发明的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的全部或部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可为个人计算机、服务器或者网络设备等)执行本发明各个实施例所述方法的全部或部分步骤。而前述的存储介质包括：U盘、只读存储器(ROM，Read-Only Memory)、随机存取存 储器(RAM，Random Access Memory)、移动硬盘、磁碟或者光盘等各种可以存储程序代码的介质。
以上所述，以上实施例仅用以说明本发明的技术方案，而非对其限制；尽管参照前述实施例对本发明进行了详细的说明，本领域的普通技术人员应当理解：其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分技术特征进行等同替换；而这些修改或者替换，并不使相应技术方案的本质脱离本发明各实施例技术方案的范围。

Claims (22)

  1. 一种指纹解锁的方法，其特征在于，包括：
    获取指纹信息；
    确定所述指纹信息与预设的指纹匹配数据中相似度最高的一组指纹的目标组号，其中，所述预设的指纹匹配数据包含N组指纹，每一组指纹包含多个指纹模板，且所述N组指纹中每一组对应一个唯一标识的组号，所述N为大于1的整数；
    将所述指纹信息与所述目标组号对应的指纹中的指纹模板进行匹配；
    在匹配出目标匹配值时，进行解锁，其中，所述目标匹配值为所述目标组号所在指纹中与所述指纹信息之间的匹配值大于第一预设阈值的指纹模板对应的匹配值。
  2. 根据权利要求1所述的方法，其特征在于，所述获取指纹信息，包括：
    在用户按压指纹识别模组的过程中，采集指纹信息，所述指纹信息为指纹的特征纹路或者指纹图像。
  3. 根据权利要求2所述的方法，其特征在于，所述确定所述指纹信息与预设的指纹匹配数据中相似度最高的一组指纹的目标组号，包括：
    分别将所述指纹信息与预设的指纹匹配数据中的所述N组指纹中每一组中至少一个指纹模板进行匹配，得到多个匹配值；
    在所述多个匹配值中的最大匹配值小于或等于所述第一预设阈值且大于第二预设阈值时，确定所述多个匹配值中最大匹配值对应的指纹模板所在的组号为目标组号，其中，所述第一预设阈值大于所述第二预设阈值。
  4. 根据权利要求3所述的方法，其特征在于，所述分别将所述指纹信息与预设的指纹匹配数据中的所述N组指纹中每一组中至少一个指纹模板进行匹配，包括：
    将所述指纹信息与所述N组指纹中每一组中被匹配成功次数最多的指纹 模板进行匹配；
    或者，
    将所述指纹信息与所述N组指纹中每一组中预设时间段内被匹配成功频率最高的指纹模板进行匹配。
  5. 根据权利要求3所述的方法，其特征在于，所述分别将所述指纹信息与预设的指纹匹配数据中的所述N组指纹中每一组中至少一个指纹模板进行匹配，得到多个匹配值之后，所述方法还包括：
    在所述多个匹配值中的最大匹配值大于所述第一预设阈值，确定所述多个匹配值中最大匹配值对应的指纹模板所在的组号为目标组号，并执行所述进行解锁的步骤。
  6. 根据权利要求1至5任一项所述的方法，其特征在于，所述进行解锁之后，所述方法还包括：
    将所述目标组号的匹配成功的次数加1；
    当终端记录的匹配成功的次数满足预设要求时，将所述N组指纹按照匹配成功的次数由高到低的顺序进行排序，并对所述排序后的所述N组指纹进行重新编号，以使得所述终端按照所述重新编号后的顺序将下次获取到的指纹信息与所述N组指纹进行匹配。
  7. 根据权利要求1至5任一项所述的方法，其特征在于，所述将所述指纹信息与所述目标组号对应的指纹中的指纹模板进行匹配，包括：
    将所述指纹信息与所述目标组号对应的指纹中未被匹配过的指纹模板进行匹配。
  8. 一种终端，其特征在于，包括：
    获取单元，用于获取指纹信息；
    第一确定单元，用于确定所述获取单元获取的所述指纹信息与预设的指纹匹配数据中相似度最高的一组指纹的目标组号，其中，所述预设的指纹匹配数 据包含N组指纹，每一组指纹包含多个指纹模板，且所述N组指纹中每一组对应一个唯一标识的组号，所述N为大于1的整数；
    第一匹配单元，用于将所述获取单元获取的所述指纹信息与所述第一确定单元确定的所述目标组号对应的指纹中的指纹模板进行匹配；
    解锁单元，用于在所述第一匹配单元匹配出目标匹配值时，进行解锁，其中，所述目标匹配值为所述目标组号所在指纹中与所述指纹信息之间的匹配值大于第一预设阈值的指纹模板对应的匹配值。
  9. 根据权利要求8所述的终端，其特征在于，所述获取单元具体用于：
    在用户按压指纹识别模组的过程中，采集指纹信息，所述指纹信息为指纹的特征纹路或者指纹图像。
  10. 根据权利要求9所述的终端，其特征在于，所述第一确定单元包括：
    第二匹配单元，用于分别将所述指纹信息与预设的指纹匹配数据中的所述N组指纹中每一组中至少一个指纹模板进行匹配，得到多个匹配值；
    第二确定单元，用于在所述第二匹配单元匹配出的所述多个匹配值中的最大匹配值小于或等于所述第一预设阈值且大于第二预设阈值时，确定所述多个匹配值中最大匹配值对应的指纹模板所在的组号为目标组号，其中，所述第一预设阈值大于所述第二预设阈值。
  11. 根据权利要求10所述的终端，其特征在于，所述第二匹配单元具体用于：
    将所述指纹信息与所述N组指纹中每一组中被匹配成功次数最多的指纹模板进行匹配；
    或者，
    将所述指纹信息与所述N组指纹中每一组中预设时间段内被匹配成功频率最高的指纹模板进行匹配。
  12. 根据权利要求10所述的终端，其特征在于，所述终端还包括：
    第三确定单元，用于第二匹配单元将所述获取单元获取的所述指纹信息与所述第一确定单元确定的所述目标组号对应的指纹中的指纹模板进行匹配之后，在所述多个匹配值中的最大匹配值大于所述第一预设阈值，确定所述多个匹配值中最大匹配值对应的指纹模板所在的组号为目标组号，并由所述解锁单元进行解锁。
  13. 根据权利要求8至12任一项所述的终端，其特征在于，所述终端还包括：
    统计单元，用于所述解锁单元进行解锁后，将所述目标组号的匹配成功的次数加1；
    排序单元，用于当所述终端记录的匹配成功的次数满足预设要求时，将所述N组指纹按照匹配成功的次数由高到低的顺序进行排序，并对所述排序后的所述N组指纹进行重新编号，以使得所述第一匹配单元按照所述重新编号后的顺序将下次获取到的指纹信息与所述N组指纹进行匹配。
  14. 根据权利要求8至12任一项所述的终端，其特征在于，所述第一匹配单元具体用于：
    将所述指纹信息与所述目标组号对应的指纹中未被匹配过的指纹模板进行匹配。
  15. 一种终端，其特征在于，包括：
    存储有可执行程序代码的存储器；
    与所述存储器耦合的处理器；
    所述处理器调用所述存储器中存储的所述可执行程序代码，执行如下步骤：
    获取指纹信息；
    确定所述指纹信息与预设的指纹匹配数据中相似度最高的一组指纹的目标组号，其中，所述预设的指纹匹配数据包含N组指纹，每一组指纹包含多个指纹模板，且所述N组指纹中每一组对应一个唯一标识的组号，所述N为大于1的整数；
    将所述指纹信息与所述目标组号对应的指纹中的指纹模板进行匹配；
    在匹配出目标匹配值时，进行解锁，其中，所述目标匹配值为所述目标组号所在指纹中与所述指纹信息之间的匹配值大于第一预设阈值的指纹模板对应的匹配值。
  16. 根据权利要求15所述的终端，其特征在于，所述获取指纹信息，包括：
    在用户按压指纹识别模组的过程中，采集指纹信息，所述指纹信息为指纹的特征纹路或者指纹图像。
  17. 根据权利要求16所述的终端，其特征在于，所述确定所述指纹信息与预设的指纹匹配数据中相似度最高的一组指纹的目标组号，包括：
    分别将所述指纹信息与预设的指纹匹配数据中的所述N组指纹中每一组中至少一个指纹模板进行匹配，得到多个匹配值；
    在所述多个匹配值中的最大匹配值小于或等于所述第一预设阈值且大于第二预设阈值时，确定所述多个匹配值中最大匹配值对应的指纹模板所在的组号为目标组号，其中，所述第一预设阈值大于所述第二预设阈值。
  18. 根据权利要求17所述的终端，其特征在于，所述分别将所述指纹信息与预设的指纹匹配数据中的所述N组指纹中每一组中至少一个指纹模板进行匹配，包括：
    将所述指纹信息与所述N组指纹中每一组中被匹配成功次数最多的指纹模板进行匹配；
    或者，
    将所述指纹信息与所述N组指纹中每一组中预设时间段内被匹配成功频率最高的指纹模板进行匹配。
  19. 根据权利要求17所述的终端，其特征在于，所述分别将所述指纹信息与预设的指纹匹配数据中的所述N组指纹中每一组中至少一个指纹模板进 行匹配，得到多个匹配值之后，所述处理器还具体用于：
    在所述多个匹配值中的最大匹配值大于所述第一预设阈值，确定所述多个匹配值中最大匹配值对应的指纹模板所在的组号为目标组号，并执行所述进行解锁的步骤。
  20. 根据权利要求15至19任一项所述的终端，其特征在于，所述进行解锁之后，所述处理器还具体用于：
    将所述目标组号的匹配成功的次数加1；
    当终端记录的匹配成功的次数满足预设要求时，将所述N组指纹按照匹配成功的次数由高到低的顺序进行排序，并对所述排序后的所述N组指纹进行重新编号，以使得所述终端按照所述重新编号后的顺序将下次获取到的指纹信息与所述N组指纹进行匹配。
  21. 根据权利要求15至19任一项所述的终端，其特征在于，所述将所述指纹信息与所述目标组号对应的指纹中的指纹模板进行匹配，包括：
    将所述指纹信息与所述目标组号对应的指纹中未被匹配过的指纹模板进行匹配。
  22. 一种程序，其特征在于，所述程序用于存储计算机存储介质，所述计算机存储介质中存储有计算机可执行指令，所述计算机可执行指令用于执行如权利要求1至7任一项所述的方法。
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