WO2017020447A1 - 一种指纹识别的方法及装置 - Google Patents

一种指纹识别的方法及装置 Download PDF

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Publication number
WO2017020447A1
WO2017020447A1 PCT/CN2015/095433 CN2015095433W WO2017020447A1 WO 2017020447 A1 WO2017020447 A1 WO 2017020447A1 CN 2015095433 W CN2015095433 W CN 2015095433W WO 2017020447 A1 WO2017020447 A1 WO 2017020447A1
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Prior art keywords
fingerprint information
fingerprint
template
processor
information
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PCT/CN2015/095433
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English (en)
French (fr)
Inventor
冯春松
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宇龙计算机通信科技(深圳)有限公司
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Publication of WO2017020447A1 publication Critical patent/WO2017020447A1/zh

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12Fingerprints or palmprints
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition

Definitions

  • the present invention relates to the field of biometrics, and in particular, to a method and device for fingerprint recognition.
  • Fingerprint recognition refers to identification by comparing the feature points of different fingerprints. Since the iPhone 5s, mobile phone fingerprint recognition has been paid more and more attention. More and more smart phones support fingerprint recognition, which is mainly used in two application scenarios: fingerprint unlocking and fingerprint payment.
  • the fingerprint recognition module becomes smaller and smaller, and the fingerprint information entered at one time is limited.
  • the user may repeatedly press the same fingerprint area, and the saved fingerprint information is limited at the end of the final entry.
  • the embodiment of the invention provides a method and a device for fingerprint recognition, which can improve the fingerprint recognition rate.
  • an embodiment of the present invention provides a fingerprint identification method, including:
  • the processor acquires the first fingerprint information collected by the collector; the processor determines whether the first fingerprint information matches the stored template fingerprint information; if the first fingerprint information does not match the template fingerprint information, the processor acquires the collected by the collector.
  • the second fingerprint information, the first fingerprint information and the second fingerprint information are fingerprint information collected at different times in a collection process; the processor combines the second fingerprint information with the first fingerprint information to form a third fingerprint information; the processor determines the third Whether the fingerprint information matches the template fingerprint information; if the third fingerprint information matches the template fingerprint information, the processor determines that the fingerprint identification is successful.
  • the combining, by the processor, the second fingerprint information with the first fingerprint information to form the third fingerprint information includes: the processor: A portion of the fingerprint information that is not overlapped is saved into the first fingerprint information to form a third fingerprint information.
  • the determining, by the processor, whether the first fingerprint information matches the stored template fingerprint information includes: processing The device determines whether the similarity between the first fingerprint information and the template fingerprint information is greater than a first preset threshold; if not greater than the first preset threshold, the processor determines that the first fingerprint information does not match the template fingerprint information.
  • the processor further And determining whether the similarity between the first fingerprint information and the template fingerprint information is greater than a second preset threshold, where the second preset threshold is smaller than the first preset threshold; if the second preset threshold is greater than the second preset threshold, acquiring the second collected by the collector is performed. The steps of fingerprint information.
  • a fourth possible implementation manner of the first aspect if the third fingerprint information matches the template fingerprint information, the processor sends the third fingerprint information The portion of the medium that does not overlap with the template fingerprint information is saved into the template fingerprint information to form a new template fingerprint information.
  • the method further includes: Whether the valid information in the fingerprint information matches the first fingerprint information; if the matching, the processor determines that the fingerprint identification is successful; if not, the processor performs the combination of the second fingerprint information and the first fingerprint information to form a third fingerprint. The steps of the information.
  • an embodiment of the present invention provides a fingerprint identification apparatus, including:
  • a memory for storing template fingerprint information
  • a collector for collecting fingerprint information of a user
  • the processor is configured to obtain the first fingerprint information collected by the collector, determine whether the first fingerprint information matches the stored template fingerprint information, and if the first fingerprint information does not match the template fingerprint information, acquire the second collected by the collector.
  • Fingerprint information, first fingerprint information and second fingerprint information are one acquisition Fingerprint information collected at different times in the process; after that, the second fingerprint information is combined with the first fingerprint information to form a third fingerprint information, and it is determined whether the third fingerprint information matches the template fingerprint information, and if the third fingerprint information and the template fingerprint are If the information matches, it is determined that the fingerprint recognition is successful.
  • the processor is configured to save, in the first fingerprint information, a portion of the second fingerprint information that is not overlapped with the first fingerprint information to form a first Three fingerprint information.
  • the processor is specifically configured to determine the similarity between the first fingerprint information and the template fingerprint information If the first fingerprint threshold is greater than the first preset threshold, the processor determines whether the first fingerprint information does not match the template fingerprint information.
  • the processor is configured to: when the similarity between the first fingerprint information and the template fingerprint information is not greater than the first preset
  • the threshold value is used to determine whether the similarity between the first fingerprint information and the template fingerprint information is greater than a second preset threshold.
  • the second preset threshold is smaller than the first preset threshold. The step of the second fingerprint information.
  • the processor is further configured to: when the third fingerprint information matches the template fingerprint information, The portion of the third fingerprint information that does not overlap with the template fingerprint information is saved into the template fingerprint information to form new template fingerprint information.
  • the processor is further configured to: after acquiring the second fingerprint information collected by the collector, Whether the valid information in the second fingerprint information matches the first fingerprint information. If the matching, the processor determines that the fingerprint identification is successful. If not, the second fingerprint information is merged with the first fingerprint information to form a third fingerprint information. A step of.
  • the processor acquires the first fingerprint information collected by the collector, and determines whether the first fingerprint information matches the stored template fingerprint information; if not, the acquisition collector acquires the first Second fingerprint information, and then combining the second fingerprint information with the first fingerprint information And forming a third fingerprint information, and then determining whether the third fingerprint information and the template fingerprint information match; if the matching, determining that the fingerprint identification is successful.
  • the solution can superimpose the fingerprint information collected at different times in one acquisition process and then match the template fingerprint information, thereby improving the fingerprint recognition rate.
  • FIG. 1 is a flow chart of a fingerprint identification method according to an embodiment of the present invention.
  • FIG. 2 is a schematic diagram of combining first fingerprint information and second fingerprint information in an embodiment of the present invention
  • FIG. 3 is another flowchart of a fingerprint identification method according to an embodiment of the present invention.
  • FIG. 4 is a schematic diagram of an embodiment of a fingerprint identification apparatus according to an embodiment of the present invention.
  • FIG. 5 is a schematic diagram of an embodiment of a fingerprint identification apparatus according to an embodiment of the present invention.
  • FIG. 6 is a schematic structural diagram of hardware of a fingerprint identification apparatus according to an embodiment of the present invention.
  • the embodiment of the invention provides a fingerprint identification method and device, which can improve the fingerprint recognition rate. The details are described below separately.
  • the fingerprint information is collected by using the sliding type and the pressing type.
  • the present invention can be applied to the above two solutions in the embodiment of the present invention.
  • the pressing type is used. Description.
  • the system will ask the user to enter one or more fingerprints as a template, and the system will store the fingerprints in the template database.
  • the specific process of entering a template fingerprint can be:
  • the user performs fingerprint input by pressing a finger
  • the fingerprint collector collects a fingerprint, and performs data processing on the fingerprint through a certain program, and processes the intuitive fingerprint into a certain format graphic or converts into a data graph (graphic or data map abbreviation For the data map), the graphic or data map formed by the fingerprint processing is stored in the template database as a fixed template fingerprint data map in the future.
  • the system matches the fingerprint collected by the fingerprint collector with the fingerprint in the template in the scenario where fingerprint recognition is required.
  • the processor acquires first fingerprint information collected by the collector.
  • the fingerprint sensor collects fingerprint information of the user, and the fingerprint information is referred to as first fingerprint information.
  • fingerprint information is collected by the fingerprint sensor as a prior art, and will not be described in detail herein.
  • the first fingerprint information collected by the collector may cause image blurring because the finger is not placed stably. Therefore, multiple fingerprint images may be captured, the last fingerprint image may be used, or a clear image may be selected arbitrarily.
  • the fingerprint image is used as the first fingerprint information, which is not limited in the present invention.
  • the processor acquires the first fingerprint information.
  • the processor processes the first fingerprint information and processes the intuitive fingerprint to form a data map.
  • the processor determines whether the first fingerprint information matches the stored template fingerprint information.
  • the processor After obtaining the first fingerprint information, the processor compares the first fingerprint information with the template fingerprint information stored in the template database, and determines whether the first fingerprint information matches the template fingerprint information. If there are multiple template fingerprint information in the template database, the first fingerprint information is sequentially compared with the template fingerprint information.
  • the processor acquires second fingerprint information collected by the collector.
  • the system does not confirm the fingerprint recognition failure, but continues to collect the fingerprint information, and refers to the second collected fingerprint information as the second. Fingerprint information.
  • the first fingerprint collection and the second fingerprint collection are fingerprints collected before the system fails to confirm the fingerprint recognition, that is, the fingerprint information collected at different times during a fingerprint collection process.
  • the following two application scenarios are as follows:
  • the processor determines whether the finger coverage area on the fingerprint sensor reaches a threshold that can be collected.
  • the threshold is taken as four of the fingerprint sensor area. The third is to explain.
  • the fingerprint collector directly captures the image and performs an image. Identifying, thereby acquiring second fingerprint information
  • the fingerprint of the finger coverage area on the fingerprint sensor is less than three-quarters of the area of the fingerprint sensor and greater than 0, the user's finger is still pressed on the fingerprint sensor, or the process of lifting the finger is not effective. Fingerprint information, so the fingerprint sensor re-determines whether the finger coverage area on the sensor is greater than three-quarters;
  • the fingerprint recognition system prompts the user to adjust the finger for the second press, and when the user presses the finger again, the second fingerprint information is collected.
  • the processor may acquire the second fingerprint information.
  • the processor combines the second fingerprint information with the first fingerprint information to form third fingerprint information.
  • the processor After acquiring the second fingerprint information, the processor combines the second fingerprint information with the previously collected first fingerprint information to form a relatively complete fingerprint information, and the fingerprint information is referred to as the first Three fingerprint information. Because the second fingerprint information is collected after the first fingerprint information is collected, when the finger overlay is not moved on the fingerprint sensor, or is collected during the movement of the finger on the fingerprint sensor, or is collected after the finger is pressed again, so The second fingerprint information collected in the two cases is different from the information obtained in the first fingerprint information. Therefore, the fingerprint information carried by the third fingerprint information formed after the combination is richer than the fingerprint information carried by the first fingerprint information or the second fingerprint information.
  • the processor determines whether the third fingerprint information matches the template fingerprint information.
  • the processor determines whether the third fingerprint information matches the template fingerprint information.
  • the processor determines that fingerprint identification is successful.
  • the processor confirms that the third fingerprint information and the template fingerprint information can match, the fingerprint identification is successful, and the identity information of the user can be successfully verified to complete the corresponding application service.
  • the processor confirms that the third fingerprint information does not match the template fingerprint information, the fingerprint recognition fails, and the fingerprint identification fails to verify the identity information of the user.
  • the system may continue to repeat the steps of 104 to 105, collect the fourth fingerprint information, and combine the fourth fingerprint information with the third fingerprint information to form the fifth fingerprint information. Then, the fifth fingerprint information is matched with the template fingerprint information. If the matching is successful, the fingerprint identification succeeds. If the matching is unsuccessful, the steps 104 to 105 are repeated until the fingerprint recognition is successful.
  • the number of times the fingerprints are repeatedly collected may not be set to exceed a predetermined threshold (for example, three times). If the predetermined threshold is exceeded, it is determined that the recognition fails, and the user is prompted to fail fingerprint identification.
  • a predetermined threshold for example, three times.
  • the collected fingerprint information is temporary information, it needs to be saved in a specific storage (for example, in a cache), and when the identification is successful or the identification fails, the temporarily stored collection information in the specific storage is cleared.
  • a specific storage for example, in a cache
  • the processor acquires the first fingerprint information collected by the collector, and determines whether the first fingerprint information matches the stored template fingerprint information; if not, the acquisition collector acquires the first The second fingerprint information is combined with the first fingerprint information to form a third fingerprint information, and then the third fingerprint information is matched with the template fingerprint information; if the matching is successful, the fingerprint identification is determined to be successful.
  • the solution can superimpose the fingerprint information collected at different times in one acquisition process and then match the template fingerprint information, thereby improving the fingerprint recognition rate.
  • the figure recognition can be continuously captured in the process of the user sliding the finger, and the playability of the fingerprint recognition can be improved.
  • the specific manner of the processor combining the second fingerprint information with the first fingerprint information to form the third fingerprint information is: saving the portion of the second fingerprint information that does not overlap with the first fingerprint information to the first A fingerprint information is formed to form third fingerprint information.
  • the part (A area) in the rectangular frame is the first fingerprint information
  • the second fingerprint information is For the ellipse portion (B region), the portion where the A region and the B region do not overlap is the b region, and the processor directly splices the fingerprint image of the b region into the first fingerprint image to form a third fingerprint image, or the b region.
  • the fingerprint data map is added to the first fingerprint data map to form third fingerprint data.
  • the method for determining whether the first fingerprint information matches the stored template fingerprint information is: comparing the first fingerprint information with the template fingerprint information, and determining whether the similarity between the two is greater than the first A preset threshold, if greater, may determine that the first fingerprint information matches the stored template fingerprint information.
  • the first preset threshold of the similarity is 70%, and when the similarity between the first fingerprint information and the template fingerprint information is 80%, it can be confirmed that the two fingerprints can be matched.
  • the processor determines If the similarity between the fingerprint information and the template fingerprint information is greater than the first preset threshold, whether it is greater than the second preset threshold, if the second preset threshold is greater than the second preset threshold, the current user may be the template fingerprint.
  • the first fingerprint that is collected is not enough to be verified by the fingerprint identification.
  • the processor performs the step of continuing to acquire the second fingerprint information collected by the collector. If the second fingerprint is not greater than the second preset threshold, the current user can be known. If the owner of the template fingerprint is not the second fingerprint information collection, the system directly prompts the user for fingerprint recognition failure.
  • the first preset threshold of the fingerprint similarity is 70%
  • the second preset threshold is 50%.
  • the similarity between the first fingerprint information acquired by the processor and the template fingerprint information is 60%, it can be confirmed that the two fingerprints do not match, but if the 60% similarity is greater than the second preset threshold by 50%, the current pressing can be confirmed.
  • the system continues to collect the second fingerprint information; if the similarity between the first fingerprint information acquired by the processor and the template fingerprint information is 40%, it can be confirmed that the two fingerprints do not match, and 40 If the similarity of % is less than the second preset threshold of 50%, it can be confirmed that the user who currently presses the finger is not the owner of the mobile phone, and the system no longer continues to collect the second fingerprint information, prompting the user that the fingerprint recognition fails.
  • the processor may first determine whether the valid information in the second fingerprint information matches the first fingerprint information, and if yes, determine The fingerprint identification is successful; if not, the processor performs the step of combining the second fingerprint information with the first fingerprint information to form the third fingerprint information.
  • the template fingerprint information stored in the fingerprint template library is fixed and unchanged.
  • the fingerprint recognition rate is improved, and after the fingerprint recognition is successful, self-learning can be performed. The details will be described below.
  • a fingerprint identification method in an embodiment of the present invention includes:
  • Steps 301 to 306 are the same as steps 101 to 106 in the embodiment shown in FIG. 1, and are not described herein.
  • the processor saves the part of the third fingerprint information that does not overlap with the template fingerprint information into the template fingerprint information to form new template fingerprint information.
  • the processor saves the portion of the first fingerprint information that does not overlap with the template fingerprint information to the template fingerprint information to form a new template. Fingerprint information, and replace this template fingerprint information with the template fingerprint information saved in the template library.
  • the non-overlapping portion here may be a portion where the fingerprint image does not overlap, or may be a portion where the data portion in the fingerprint data map does not overlap.
  • the specific storage method is to splicing the non-overlapping portions with the template fingerprint information to form new template fingerprint information.
  • the processor combines the first fingerprint information collected at different times in the same collection process with the second fingerprint information to form a third fingerprint information, and then determines whether the third fingerprint information and the stored template fingerprint information are Matching, if matched, the processor determines that the fingerprint recognition is successful, and saves the portion of the third fingerprint information that does not overlap with the template fingerprint information to the template fingerprint information to form new template fingerprint information. Because the template fingerprint information will continue to be enriched as the number of fingerprint recognition increases, the effect of automatic learning can be achieved, so the rate of fingerprint recognition can be improved.
  • the above is a description of the fingerprint identification method in the embodiment of the present invention.
  • the fingerprint identification device in the embodiment of the present invention is introduced from the perspective of the modular structure.
  • an embodiment of the present invention provides a fingerprint identification apparatus 4, including:
  • a memory 401 configured to store template fingerprint information
  • the collector 402 is configured to collect fingerprint information of the user
  • the processor 403 is configured to acquire the first fingerprint information collected by the collector, determine whether the first fingerprint information matches the stored template fingerprint information, and if the first fingerprint information does not match the template fingerprint information, obtain the first collected by the collector.
  • the second fingerprint information, the first fingerprint information and the second fingerprint information are fingerprint information collected at different times during the collection process; and then the second fingerprint information is merged with the first fingerprint information
  • the third fingerprint information is formed to determine whether the third fingerprint information matches the template fingerprint information. If the third fingerprint information matches the template fingerprint information, the fingerprint identification is determined to be successful.
  • the processor 403 obtains the first fingerprint information collected by the collector 402, and determines whether the first fingerprint information matches the template fingerprint information stored in the memory 401; if not, the acquirer is acquired.
  • the second fingerprint information collected by the 402 is combined with the first fingerprint information to form a third fingerprint information, and then the third fingerprint information is matched with the template fingerprint information. If the matching is successful, the fingerprint identification is determined to be successful.
  • the solution can superimpose the fingerprint information collected at different times in one acquisition process and then match the template fingerprint information, thereby improving the fingerprint recognition rate.
  • the processor 403 is specifically configured to save a portion of the second fingerprint information that is not overlapped with the first fingerprint information into the first fingerprint information to form third fingerprint information.
  • the processor 403 is specifically configured to determine whether the first fingerprint information matches the stored template fingerprint information by determining whether the similarity between the first fingerprint information and the template fingerprint information is greater than a first preset threshold. If not greater than the first preset threshold, the processor determines that the first fingerprint information does not match the template fingerprint information.
  • the processor 403 is configured to determine whether the similarity between the first fingerprint information and the template fingerprint information is greater than when the similarity between the first fingerprint information and the template fingerprint information is not greater than the first preset threshold. And a second preset threshold, where the second preset threshold is smaller than the first preset threshold; if the second preset threshold is greater than the second preset threshold, the step of acquiring the second fingerprint information collected by the collector is performed.
  • the processor 403 is further configured to: after acquiring the second fingerprint information collected by the collector, determining whether the valid information in the second fingerprint information matches the first fingerprint information, and if yes, the processor Determining that the fingerprint identification is successful, if not, performing the step of combining the second fingerprint information with the first fingerprint information to form the third fingerprint information.
  • an embodiment of the present invention provides a fingerprint identification apparatus 5, including:
  • a memory 501 configured to store template fingerprint information
  • the collector 502 is configured to collect fingerprint information of the user.
  • the processor 503 is configured to acquire first fingerprint information collected by the collector, and determine the first fingerprint information and Whether the stored template fingerprint information matches; if the first fingerprint information does not match the template fingerprint information, the second fingerprint information collected by the collector is acquired, and the first fingerprint information and the second fingerprint information are collected at different times during the collection process. Fingerprint information; then, combining the second fingerprint information with the first fingerprint information to form third fingerprint information, determining whether the third fingerprint information matches the template fingerprint information, and if the third fingerprint information matches the template fingerprint information, determining the fingerprint The recognition was successful.
  • the processor 503 is further configured to: when the third fingerprint information matches the template fingerprint information, save the portion of the third fingerprint information that does not overlap with the template fingerprint information to the template fingerprint information to form new template fingerprint information.
  • the processor 503 combines the first fingerprint information collected at different times in the same collection process with the second fingerprint information to form a third fingerprint information, and then determines the third fingerprint information and the stored template fingerprint information. Whether it matches, if it matches, the processor 503 determines that the fingerprint recognition is successful, and saves the portion of the third fingerprint information that does not overlap with the template fingerprint information to the template fingerprint information to form new template fingerprint information. Because the template fingerprint information will continue to be enriched as the number of fingerprint recognition increases, the effect of automatic learning can be achieved, so the rate of fingerprint recognition can be improved.
  • the above is a description of the fingerprint recognition device from the perspective of functional modularity.
  • the fingerprint recognition device in the embodiment of the present invention is introduced from the perspective of hardware processing.
  • FIG. 6 is a schematic structural diagram of a fingerprint identification apparatus 6 according to an embodiment of the present invention.
  • Fingerprint identification device 6 may include at least one network interface or other communication interface, at least one input device 601, at least one output device 602, at least one processor 603, and memory 604 to enable connection communication between the devices through at least one network
  • the interface (which may be wired or wireless) implements a communication connection between the system gateway and at least one other network element.
  • the memory 604 can include read-only memory and random access memory, and provides instructions and data to the processor 603.
  • a portion of the memory 604 can also include, possibly including, a high-speed random access memory (RAM), and possibly a non- Un-volatile memory.
  • RAM high-speed random access memory
  • the memory 604 stores the following elements, executable modules or data structures, or a subset thereof, or an extended set thereof:
  • Operation instructions include various operation instructions for implementing various operations.
  • Operating system Includes a variety of system programs for implementing various basic services and handling hardware-based tasks.
  • the processor 603 performs the following operations by calling an operation instruction stored in the memory 604 (the operation instruction can be stored in the operating system):
  • the first fingerprint information obtained by the input device 601 For obtaining the first fingerprint information obtained by the input device 601; determining whether the first fingerprint information matches the template fingerprint information stored in the memory 604; if the first fingerprint information does not match the template fingerprint information, acquiring the second obtained by the input device 601
  • the fingerprint information, the first fingerprint information and the second fingerprint information are fingerprint information collected at different times during an acquisition process; after that, the second fingerprint information is combined with the first fingerprint information to form a third fingerprint information, and the third fingerprint information is determined. Whether the fingerprint information matches the template fingerprint information, and if the third fingerprint information matches the template fingerprint information, it is determined that the fingerprint identification is successful.
  • the processor 603 may further perform the following steps:
  • the processor 603 may further perform the following steps:
  • Determining whether the first fingerprint information matches the stored template fingerprint information by determining whether the similarity between the first fingerprint information and the template fingerprint information is greater than a first preset threshold. If not greater than the first preset threshold, the processor determines A fingerprint information does not match the template fingerprint information.
  • the processor 603 may further perform the following steps:
  • the similarity between the first fingerprint information and the template fingerprint information is not greater than the first preset threshold
  • determining whether the similarity between the first fingerprint information and the template fingerprint information is greater than a second preset threshold, and the second preset threshold is smaller than the first preset A threshold is set; if the second preset threshold is greater, the step of acquiring the second fingerprint information collected by the collector is performed.
  • the processor 603 may further perform the following steps:
  • the portion of the third fingerprint information that does not overlap with the template fingerprint information is saved into the template fingerprint information to form new template fingerprint information.
  • the processor 603 may further perform the following steps:
  • the processor After obtaining the second fingerprint information collected by the collector, determining whether the valid information in the second fingerprint information matches the first fingerprint information, and if yes, the processor determines that the fingerprint identification is successful, and if not, Then, the step of combining the second fingerprint information with the first fingerprint information to form the third fingerprint information is performed.
  • the disclosed system, apparatus, and method may be implemented in other manners.
  • 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 Can be integrated 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 in an electrical, mechanical or other form.
  • 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 mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and the like. .

Abstract

一种指纹识别的方法及装置,用于提高指纹识别率。该方法包括:处理器获取采集器采集的第一指纹信息(101),判断第一指纹信息与已存储的模板指纹信息是否匹配(102);若不匹配,则获取采集器采集的第二指纹信息(103),再将该第二指纹信息与第一指纹信息合并以形成第三指纹信息(104),再判断第三指纹信息与模板指纹信息是否匹配(105);若匹配,则确定指纹识别成功(106)。该方法可以把在一次采集过程中不同时刻采集的指纹信息进行叠加后再与模板指纹信息进行匹配,从而能够提高指纹识别率。

Description

一种指纹识别的方法及装置
本申请要求于2015年7月31日提交中国专利局、申请号为201510464722.7、发明名称为“一种指纹识别的方法及装置”的中国专利申请的优先权,其全部内容通过引用结合在本申请中。
技术领域
本发明涉及生物识别领域,尤其涉及一种指纹识别的方法及装置。
背景技术
指纹识别即指通过比较不同指纹的细节特征点来进行身份鉴定。从iPhone5s开始,手机指纹识别被越来越多的关注,越来越多的智能手机支持指纹识别,主要应用于指纹解锁和指纹支付两个应用场景。
由于手机越做越薄,指纹识别模组越做越小,一次录入的指纹信息有限,在指纹录入时,用户可能会反复按压同一个指纹区域,导致最后录入结束时,保存的指纹信息有限。
现有技术中,在进行指纹识别的过程中,一次识别只会采集一次指纹信息,而一次采集的指纹信息如果偏离了录入区域时会导致指纹识别失败,因此影响指纹识别率。
发明内容
本发明实施例提供了一种指纹识别的方法及装置,能够提高指纹识别率。
第一方面,本发明实施例提供了一种指纹识别的方法,包括:
处理器获取采集器采集的第一指纹信息;处理器判断第一指纹信息与已存储的模板指纹信息是否匹配;若第一指纹信息与模板指纹信息不匹配,则处理器获取采集器采集的第二指纹信息,第一指纹信息和第二指纹信息是一次采集过程中不同时刻采集的指纹信息;处理器将第二指纹信息与第一指纹信息合并以形成第三指纹信息;处理器判断第三指纹信息与模板指纹信息是否匹配;若第三指纹信息与模板指纹信息匹配,则处理器确定指纹识别成功。
结合第一方面,在第一方面的第一种可能的实现方式中,处理器将第二指纹信息与第一指纹信息合并以形成第三指纹信息包括:处理器将第二指纹信息中与第一指纹信息未重叠的部分保存至第一指纹信息中以形成第三指纹信息。
结合第一方面或第一方面的第一种可能的实现方式,在第一方面的第二种可能的实现方式中,处理器判断第一指纹信息与已存储的模板指纹信息是否匹配包括:处理器判断第一指纹信息与模板指纹信息的相似度是否大于第一预设阈值;若不大于第一预设阈值,则处理器确定第一指纹信息与模板指纹信息不匹配。
结合第一方面的第二种可能的实现方式,在第一方面的第三种可能的实现方式中,若第一指纹信息与模板指纹信息的相似度不大于第一预设阈值,处理器还可以判断第一指纹信息与模板指纹信息的相似度是否大于第二预设阈值,第二预设阈值小于第一预设阈值;若大于第二预设阈值,才执行获取采集器采集的第二指纹信息的步骤。
结合第一方面或第一方面的第一种可能的实现方式,在第一方面的第四种可能的实现方式中,若第三指纹信息与模板指纹信息匹配,则处理器将第三指纹信息中与模板指纹信息未重叠的部分保存至模板指纹信息中以形成新的模板指纹信息。
结合第一方面或第一方面的第一种可能的实现方式,在第一方面的第五种可能的实现方式中,处理器获取采集器采集的第二指纹信息之后还包括:处理器判断第二指纹信息中的有效信息与第一指纹信息是否匹配;若匹配,则处理器确定指纹识别成功;若不匹配,则处理器执行将第二指纹信息与第一指纹信息合并以形成第三指纹信息的步骤。
第二方面,本发明实施例提供了一种指纹识别装置,包括:
存储器,用于存储模板指纹信息;
采集器,用于采集用户的指纹信息;
处理器,用于获取采集器采集的第一指纹信息;判断第一指纹信息与已存储的模板指纹信息是否匹配;若第一指纹信息与模板指纹信息不匹配,则获取采集器采集的第二指纹信息,第一指纹信息和第二指纹信息是一次采集 过程中不同时刻采集的指纹信息;之后,再将第二指纹信息与第一指纹信息合并以形成第三指纹信息,判断第三指纹信息与模板指纹信息是否匹配,若第三指纹信息与模板指纹信息匹配,则确定指纹识别成功。
结合第二方面,在第二方面的第一种可能的实现方式中,处理器,具体用于将第二指纹信息中与第一指纹信息未重叠的部分保存至第一指纹信息中以形成第三指纹信息。
结合第二方面或第二方面的第一种可能的实现方式,在第二方面的第二种可能的实现方式中,处理器,具体用于通过判断第一指纹信息与模板指纹信息的相似度是否大于第一预设阈值来判断第一指纹信息与已存储的模板指纹信息是否匹配,若不大于第一预设阈值,则处理器确定第一指纹信息与模板指纹信息不匹配。
结合第二方面的第二种可能的实现方式,在第二方面的第三可能的实现方式中,处理器,具体用于当第一指纹信息与模板指纹信息的相似度不大于第一预设阈值时,判断第一指纹信息与模板指纹信息的相似度是否大于第二预设阈值,第二预设阈值小于第一预设阈值;若大于第二预设阈值,则执行获取采集器采集的第二指纹信息的步骤。
结合第二方面或第二方面的第一种可能的实现方式,在第二方面的第四种可能的实现方式中,处理器,还用于当第三指纹信息与模板指纹信息匹配时,将第三指纹信息中与模板指纹信息未重叠的部分保存至模板指纹信息中以形成新的模板指纹信息。
结合第二方面或第二方面的第一种可能的实现方式,在第二方面的第五种可能的实现方式中,处理器,还用于在获取采集器采集的第二指纹信息之后,判断第二指纹信息中的有效信息与第一指纹信息是否匹配,若匹配,则处理器确定指纹识别成功,若不匹配,则执行将第二指纹信息与第一指纹信息合并以形成第三指纹信息的步骤。
从以上技术方案可以看出,本发明实施例的方案具有如下有益效果:
本发明实施例中,在指纹识别过程中,处理器获取采集器采集的第一指纹信息,判断第一指纹信息与已存储的模板指纹信息是否匹配;若不匹配,则获取采集器采集的第二指纹信息,再将该第二指纹信息与第一指纹信息合 并以形成第三指纹信息,再判断第三指纹信息与模板指纹信息是否匹配;若匹配,则确定指纹识别成功。本方案可以把在一次采集过程中不同时刻采集的指纹信息进行叠加后再与模板指纹信息进行匹配,从而能够提高指纹识别率。
附图说明
图1为本发明实施例中指纹识别方法的一种流程图;
图2为本发明实施例中第一指纹信息和第二指纹信息合并的示意图;
图3为本发明实施例中指纹识别方法的另一种流程图;
图4为本发明实施例中指纹识别装置的实施例示意图;
图5为本发明实施例中指纹识别装置的实施例示意图;
图6为本发明实施例中指纹识别装置硬件结构示意图。
具体实施方式
本发明实施例提供了一种指纹识别方法及装置,能够提高指纹识别率。下面分别进行详细说明。
为了使本技术领域的人员更好地理解本发明方案,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,所描述的实施例仅仅是本发明一部分的实施例,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做出创造性劳动前提下所获得的所有其他实施例,都应当属于本发明保护的范围。
本发明的说明书和权利要求书及上述附图中的术语“第一”、“第二”、“第三”“第四”等(如果存在)是用于区别类似的对象,而不必用于描述特定的顺序或先后次序。应该理解这样使用的数据在适当情况下可以互换,以便这里描述的实施例能够以除了在这里图示或描述的内容以外的顺序实施。此外,术语“包括”和“具有”以及他们的任何变形,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、产品或设备不必限于清楚地列出的那些步骤或单元,而是可包括没有清楚地列出的或对于这些过程、方法、产品或设备固有的其它步骤或单元。
在现有的手机指纹识别技术中,主要采用滑擦式和按压式进行指纹信息的采集,本发明实施例中可以应用于上述两种方案,为了方便,本发明实施例中以按压式来进行说明。
在实际的手机指纹识别应用中,在用户开启指纹识别功能时,系统会要求用户录入一个或多个指纹作为的模板,系统会将这些指纹存入模板数据库中。录入一个模板指纹的具体过程可以为:
用户根据系统的提示通过按压手指进行指纹录入,指纹采集器采集一个指纹,通过一定的程序对指纹进行数据处理,将直观的指纹处理成一定格式的图形或转化为数据图(图形或数据图简称为数据图),将该指纹处理后形成的图形或数据图存储在模板数据库中,作为日后的固定模板指纹数据图。
在录入了指纹模板数据图后,后续在需要使用到指纹识别的场景中,系统将指纹采集器采集的指纹与模板中的指纹进行匹配。
结合图1,下面对本发明实施例中的指纹识别方法进行详细说明。
101、处理器获取采集器采集的第一指纹信息;
当需要指纹识别时,例如:用户通过按压指纹传感器进行指纹识别解锁时,指纹传感器采集用户的指纹信息,将该指纹信息称之为第一指纹信息。
此处通过指纹传感器采集指纹信息为现有技术,此处不做详细说明。
需要说明的是,采集器采集的第一指纹信息,可能会因为手指未放置稳定而造成图像模糊,因此,可以抓取多次指纹图像,采用最后一幅指纹图像,或任意选择一幅清晰的指纹图像作为第一指纹信息,具体本发明不做限定。
指纹采集器采集到第一指纹信息后,处理器获取到该第一指纹信息。
实际应用中,处理器会对该第一指纹信息进行处理,将直观的指纹进行处理形成数据图。
102、处理器判断第一指纹信息与已存储的模板指纹信息是否匹配;
处理器在获取到第一指纹信息后,将第一指纹信息与模板数据库中存储的模板指纹信息进行比对,判断第一指纹信息与模板指纹信息是否匹配。若模板数据库中有多个模板指纹信息,则将第一指纹信息依次与这几个模板指纹信息进行比对。
103、处理器获取采集器采集的第二指纹信息;
若第一指纹信息与模板库中的所有指纹信息匹配都未成功,则系统并不以此确认指纹识别失败,而是会继续采集指纹信息,将第二次采集的指纹信息称之为第二指纹信息。
需要说明的是,第一次指纹采集和第二次指纹采集都是在系统未确认指纹识别失败之前进行的指纹采集,即是在一次指纹采集过程中的不同时刻采集的指纹信息。具体可以是以下两种应用场景:
在处理器确认第一指纹信息与模板指纹信息不匹配后,处理器判断指纹传感器上的手指覆盖区域是否达到可采集的阈值,本实施例中为了便于说明,取该阈值为指纹传感器面积的四分之三来进行说明。
1、如果指纹传感器上的手指覆盖区域大于指纹传感器面积的四分之三,则说明用户的手指仍然按压在指纹传感器上,可以获得有效的指纹信息,所以指纹采集器直接抓图,并进行图像识别,从而采集第二指纹信息;
2、如果指纹传感器上的手指覆盖区域指纹小于指纹传感器面积的四分之三,并大于0,则说明用户的手指仍然按压在指纹传感器上,或者正在抬起手指的过程,但不能获得有效的指纹信息,所以指纹传感器重新进行判断传感器上的手指覆盖区域是否大于四分之三;
3、如果指纹传感器上的手指覆盖区域指纹等于0,则说明用户的手指已经抬起,则指纹识别系统提示用户调整手指进行第二次按压,在用户重新按压手指时,采集第二指纹信息。
采集器采集到第二指纹信息后,处理器可以获取该第二指纹信息。
104、处理器将第二指纹信息与第一指纹信息合并以形成第三指纹信息;
为了提高识别率,处理器在获取到第二指纹信息后,将第二指纹信息与之前采集的第一指纹信息合并起来,以形成一个相对较全的指纹信息,将该指纹信息称之为第三指纹信息。因为第二指纹信息是采集完第一次指纹信息后,手指覆盖在指纹传感器上未移动时采集的,或手指在指纹传感器上移动过程中采集的,或是手指重新按压后采集的,所以后两种情况采集的第二指纹信息与第一指纹信息获得的信息不相同,因此合并后形成的第三指纹信息承载的指纹信息要比第一指纹信息或第二指纹信息承载的指纹信息丰富。
105、处理器判断第三指纹信息与模板指纹信息是否匹配;
处理器在将第一指纹信息和第二指纹信息合并形成第三指纹信息后,再判断第三指纹信息与模板指纹信息是否匹配。
106、处理器确定指纹识别成功。
如果处理器确认第三指纹信息与模板指纹信息能够匹配,则指纹识别成功,可以成功验证使用者的身份信息,以完成相应的应用业务。
如果处理器确认第三指纹信息与模板指纹信息不匹配,则指纹识别失败,本次指纹识别验证使用者的身份信息失败。
需要说明的是,如果第三指纹信息与模板指纹信息不匹配,系统可以继续重复104至105的步骤,采集第四指纹信息,将第四指纹信息与第三指纹信息合并以形成第五指纹信息,再将第五指纹信息与模板指纹信息进行匹配,若匹配成功,则可以确认指纹识别成功,若匹配不成功,则继续重复步骤104至步骤105,直至指纹识别成功。
为安全考虑可以设定重复采集指纹的次数不超过预定阈值(例如三次),如果超过预定阈值,则确定识别失败,提示用户指纹识别失败。
另外,每次采集的指纹信息均为临时信息,需要保存在特定的存储中(例如缓存中),当识别成功或者确定识别失败时,清除特定存储中暂存的采集信息。
本发明实施例中,在指纹识别过程中,处理器获取采集器采集的第一指纹信息,判断第一指纹信息与已存储的模板指纹信息是否匹配;若不匹配,则获取采集器采集的第二指纹信息,再将该第二指纹信息与第一指纹信息合并以形成第三指纹信息,再判断第三指纹信息与模板指纹信息是否匹配;若匹配,则确定指纹识别成功。本方案可以把在一次采集过程中不同时刻采集的指纹信息进行叠加后再与模板指纹信息进行匹配,从而提高了指纹识别率。
另外,本发明实施例中,可以在用户滑动手指的过程中不断抓图识别,能够提高指纹识别的可玩性。
作为一种具体的实施方式,处理器将第二指纹信息与第一指纹信息合并以形成第三指纹信息的具体方式为:将第二指纹信息中与第一指纹信息未重叠的部分保存至第一指纹信息中以形成第三指纹信息。
如图2所示,矩形框中的部分(A区域)为第一指纹信息,第二指纹信息 为椭圆部分(B区域),A区域与B区域未重叠的部分为b区域,则处理器直接将b区域的指纹图像拼接至第一指纹图像中以更形成第三指纹图像,或将b区域的指纹数据图补充进第一指纹数据图中以形成第三指纹数据。
作为一种具体的实施方式,处理器判断第一指纹信息与已存储的模板指纹信息是否匹配的方式具体为:将第一指纹信息与模板指纹信息进行比较,判断两者的相似度是否大于第一预设阈值,若大于,则可确定第一指纹信息与已存储的模板指纹信息匹配。例如:相似度第一预设阈值为70%,当第一指纹信息与模板指纹信息的相似度为80%的时,可确认这两个指纹能够匹配。
进一步,作为另一种实施方式,在实际应用中,如果第一指纹信息与模板指纹信息的相似度小于第一预设阈值,则可以确定本次指纹识别失败,此时处理器再继续判断第一指纹信息与模板指纹信息的相似度在小于第一预设阈值基础上,是否大于第二预设阈值,若大于第二预设阈值,则可以得知当前的使用者可能为模板指纹的所有者,只是采集的第一指纹不足以通过指纹识别验证,此时处理器才执行继续获取采集器采集的第二指纹信息的步骤,若不大于第二预设阈值,则可以得知当前使用者不是模板指纹的所有者,则不再继续进行第二次指纹信息的采集,系统直接提示用户指纹识别失败。
例如:指纹相似度的第一预设阈值为70%,第二预设阈值为50%。处理器获取的第一指纹信息与模板指纹信息的相似度为60%时,则可确认这两个指纹不匹配,但60%的相似度大于第二预设阈值50%,则可以确认当前按压手指的用户为手机所有者,则系统继续采集第二指纹信息;若处理器获取的第一指纹信息与模板指纹信息的相似度为40%时,则可确认这两个指纹不匹配,且40%的相似度小于第二预设阈值50%,则可以确认当前按压手指的用户不是手机所有者,则系统不再继续采集第二指纹信息,提示用户指纹识别失败。
进一步,作为另一种实施方式,在实际应用中,处理器获取采集器采集的第二指纹信息之后可以先判断第二指纹信息中的有效信息与第一指纹信息是否匹配,若匹配,则确定指纹识别成功;若不匹配,则处理器才执行将第二指纹信息与第一指纹信息合并以形成第三指纹信息的步骤。
在现有技术中,指纹模板库中存储的模板指纹信息是固定的,不变的,为 了提高指纹识别率,在指纹识别成功后,可以进行自学习。下面进行详细说明。
结合图3,本发明实施例中的一种指纹识别方法,包括:
步骤301至步骤306与图1所示的实施例中的步骤101至步骤106相同,具体此处不做赘述。
307、处理器将第三指纹信息中与模板指纹信息未重叠的部分保存至模板指纹信息中以形成新的模板指纹信息。
若第三指纹信息与指纹模板库中的一个模板指纹信息匹配成功,则指纹识别成功,处理器将第一指纹信息中与模板指纹信息未重叠的部分保存至模板指纹信息中以形成新的模板指纹信息,并将此新的模板指纹信息替换掉模板库中已保存的该模板指纹信息。
此处的未重叠部分可以为指纹图像未重叠的部分,也可以为指纹数据图中的数据部分未重叠的部分。
具体的保存方式为将未重叠的部分与模板指纹信息拼接以形成新的模板指纹信息。
本发明实施例中,处理器将同一次采集过程中的不同时刻采集的第一指纹信息与第二指纹信息合并形成第三指纹信息,再判断该第三指纹信息与已存储的模板指纹信息是否匹配,若匹配,则所述处理器确定指纹识别成功,并将第三指纹信息中与模板指纹信息未重叠的部分保存至模板指纹信息中以形成新的模板指纹信息。因为模板指纹信息会随着指纹识别的次数的增多而不断丰富,达到自动学习的效果,因此可以提高指纹识别的率。
以上是对本发明实施例中的指纹识别方法进行了介绍,下面从模块化结构的角度对本发明实施例中指纹识别装置进行介绍。
结合图4,本发明实施例提供了一种指纹识别装置4,包括:
存储器401,用于存储模板指纹信息;
采集器402,用于采集用户的指纹信息;
处理器403,用于获取采集器采集的第一指纹信息;判断第一指纹信息与已存储的模板指纹信息是否匹配;若第一指纹信息与模板指纹信息不匹配,则获取采集器采集的第二指纹信息,第一指纹信息和第二指纹信息是一次采集过程中不同时刻采集的指纹信息;之后,再将第二指纹信息与第一指纹信息合并 以形成第三指纹信息,判断第三指纹信息与模板指纹信息是否匹配,若第三指纹信息与模板指纹信息匹配,则确定指纹识别成功。
本发明实施例指纹识别装置4的各单元之间的交互过程可以参阅前述图1所示实施例中的交互过程,具体此处不再赘述。
本发明实施例中,在指纹识别过程中,处理器403获取采集器402采集的第一指纹信息,判断第一指纹信息与存储器401存储的模板指纹信息是否匹配;若不匹配,则获取采集器402采集的第二指纹信息,再将该第二指纹信息与第一指纹信息合并以形成第三指纹信息,再判断第三指纹信息与模板指纹信息是否匹配;若匹配,则确定指纹识别成功。本方案可以把在一次采集过程中不同时刻采集的指纹信息进行叠加后再与模板指纹信息进行匹配,从而提高了指纹识别率。
进一步,作为另一个实施例,处理器403,具体用于将第二指纹信息中与第一指纹信息未重叠的部分保存至第一指纹信息中以形成第三指纹信息。
进一步,作为另一个实施例,处理器403,具体用于通过判断第一指纹信息与模板指纹信息的相似度是否大于第一预设阈值来判断第一指纹信息与已存储的模板指纹信息是否匹配,若不大于第一预设阈值,则处理器确定第一指纹信息与模板指纹信息不匹配。
进一步,作为另一个实施例,处理器403,具体用于当第一指纹信息与模板指纹信息的相似度不大于第一预设阈值时,判断第一指纹信息与模板指纹信息的相似度是否大于第二预设阈值,第二预设阈值小于第一预设阈值;若大于第二预设阈值,则执行获取采集器采集的第二指纹信息的步骤。
进一步,作为另一个实施例,处理器403,还用于在获取采集器采集的第二指纹信息之后,判断第二指纹信息中的有效信息与第一指纹信息是否匹配,若匹配,则处理器确定指纹识别成功,若不匹配,则执行将第二指纹信息与第一指纹信息合并以形成第三指纹信息的步骤。
结合图5,本发明实施例提供了一种指纹识别装置5,包括:
存储器501,用于存储模板指纹信息;
采集器502,用于采集用户的指纹信息;
处理器503,用于获取采集器采集的第一指纹信息;判断第一指纹信息与 已存储的模板指纹信息是否匹配;若第一指纹信息与模板指纹信息不匹配,则获取采集器采集的第二指纹信息,第一指纹信息和第二指纹信息是一次采集过程中不同时刻采集的指纹信息;之后,再将第二指纹信息与第一指纹信息合并以形成第三指纹信息,判断第三指纹信息与模板指纹信息是否匹配,若第三指纹信息与模板指纹信息匹配,则确定指纹识别成功。
处理器503,还用于当第三指纹信息与模板指纹信息匹配时,将第三指纹信息中与模板指纹信息未重叠的部分保存至模板指纹信息中以形成新的模板指纹信息。
本发明实施例指纹识别装置5的各单元之间的交互过程可以参阅前述图3所示实施例中的交互过程,具体此处不再赘述。
本发明实施例中,处理器503将同一次采集过程中的不同时刻采集的第一指纹信息与第二指纹信息合并形成第三指纹信息,再判断该第三指纹信息与已存储的模板指纹信息是否匹配,若匹配,则所述处理器503确定指纹识别成功,并将第三指纹信息中与模板指纹信息未重叠的部分保存至模板指纹信息中以形成新的模板指纹信息。因为模板指纹信息会随着指纹识别的次数的增多而不断丰富,达到自动学习的效果,因此可以提高指纹识别的率。
上面是从功能模块化角度对指纹识别装置进行了介绍,下面从硬件处理的角度对本发明实施例中的指纹识别装置进行介绍。
图6是本发明实施例指纹识别装置6的结构示意图。指纹识别装置6可包括至少一个网络接口或者其它通信接口、至少一个输入装置601、至少一个输出装置602、至少一个处理器603和存储器604,以实现这些装置之间的连接通信,通过至少一个网络接口(可以是有线或者无线)实现该系统网关与至少一个其它网元之间的通信连接。
存储器604可以包括只读存储器和随机存取存储器,并向处理器603提供指令和数据,存储器604的一部分还可以包括可能包含高速随机存取存储器(RAM,Random Access Memory),也可能还包括非不稳定的存储器(non-volatile memory)。
存储器604存储了如下的元素,可执行模块或者数据结构,或者它们的子集,或者它们的扩展集:
操作指令:包括各种操作指令,用于实现各种操作。
操作系统:包括各种系统程序,用于实现各种基础业务以及处理基于硬件的任务。
在本发明实施例中,处理器603通过调用存储器604存储的操作指令(该操作指令可存储在操作系统中),执行如下操作:
用于获取输入装置601获得的第一指纹信息;判断第一指纹信息与存储器604存储的模板指纹信息是否匹配;若第一指纹信息与模板指纹信息不匹配,则获取输入装置601获得的第二指纹信息,第一指纹信息和第二指纹信息是一次采集过程中不同时刻采集的指纹信息;之后,再将第二指纹信息与第一指纹信息合并以形成第三指纹信息,判断第三指纹信息与模板指纹信息是否匹配,若第三指纹信息与模板指纹信息匹配,则确定指纹识别成功。
在一些实施方式中,上述处理器603还可以执行以下步骤:
将第二指纹信息中与第一指纹信息未重叠的部分保存至第一指纹信息中以形成第三指纹信息。
在一些实施方式中,上述处理器603还可以执行以下步骤:
通过判断第一指纹信息与模板指纹信息的相似度是否大于第一预设阈值来判断第一指纹信息与已存储的模板指纹信息是否匹配,若不大于第一预设阈值,则处理器确定第一指纹信息与模板指纹信息不匹配。
在一些实施方式中,上述处理器603还可以执行以下步骤:
当第一指纹信息与模板指纹信息的相似度不大于第一预设阈值时,判断第一指纹信息与模板指纹信息的相似度是否大于第二预设阈值,第二预设阈值小于第一预设阈值;若大于第二预设阈值,则执行获取采集器采集的第二指纹信息的步骤。
在一些实施方式中,上述处理器603还可以执行以下步骤:
当第三指纹信息与模板指纹信息匹配时,将第三指纹信息中与模板指纹信息未重叠的部分保存至模板指纹信息中以形成新的模板指纹信息。
在一些实施方式中,上述处理器603还可以执行以下步骤:
在获取采集器采集的第二指纹信息之后,判断第二指纹信息中的有效信息与第一指纹信息是否匹配,若匹配,则处理器确定指纹识别成功,若不匹配, 则执行将第二指纹信息与第一指纹信息合并以形成第三指纹信息的步骤。
所属领域的技术人员可以清楚地了解到,为描述的方便和简洁,上述描述的系统,装置和单元的具体工作过程,可以参考前述方法实施例中的对应过程,在此不再赘述。
在本申请所提供的几个实施例中,应该理解到,所揭露的系统,装置和方法,可以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,机械或其它的形式。
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(可以是个人计算机,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、移动硬盘、只读存储器(ROM,Read-Only Memory)、随机存取存储器(RAM,Random Access Memory)、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精神和范围。

Claims (12)

  1. 一种指纹识别的方法,其特征在于,包括:
    处理器获取采集器采集的第一指纹信息;
    所述处理器判断所述第一指纹信息与已存储的模板指纹信息是否匹配;
    若所述第一指纹信息与所述模板指纹信息不匹配,则所述处理器获取所述采集器采集的第二指纹信息,所述第一指纹信息和所述第二指纹信息是一次采集过程中不同时刻采集的指纹信息;
    所述处理器将所述第二指纹信息与所述第一指纹信息合并以形成第三指纹信息;
    所述处理器判断所述第三指纹信息与所述模板指纹信息是否匹配;
    若所述第三指纹信息与所述模板指纹信息匹配,则所述处理器确定指纹识别成功。
  2. 根据权利要求1所述的方法,其特征在于,所述处理器将所述第二指纹信息与所述第一指纹信息合并以形成第三指纹信息包括:
    所述处理器将所述第二指纹信息中与所述第一指纹信息未重叠的部分保存至所述第一指纹信息中以形成所述第三指纹信息。
  3. 根据权利要求1或2所述的方法,其特征在于,所述处理器判断所述第一指纹信息与已存储的模板指纹信息是否匹配包括:
    所述处理器判断所述第一指纹信息与所述模板指纹信息的相似度是否大于第一预设阈值;
    若不大于所述第一预设阈值,则所述处理器确定所述第一指纹信息与所述模板指纹信息不匹配。
  4. 根据权利要求3所述的方法,其特征在于,若不大于所述第一预设阈值,所述方法还包括:
    所述处理器判断所述第一指纹信息与所述模板指纹信息的相似度是否大于第二预设阈值,所述第二预设阈值小于所述第一预设阈值;
    若大于第二预设阈值,则所述处理器执行获取所述采集器采集的第二指纹信息的步骤。
  5. 根据权利要求1或2所述的方法,其特征在于,所述方法还包括:
    若所述第三指纹信息与所述模板指纹信息匹配,则所述处理器将所述第三指纹信息中与所述模板指纹信息未重叠的部分保存至所述模板指纹信息中以形成新的模板指纹信息。
  6. 根据权利要求1或2所述的方法,其特征在于,所述处理器获取所述采集器采集的第二指纹信息之后还包括:
    所述处理器判断所述第二指纹信息中的有效信息与所述第一指纹信息是否匹配;
    若匹配,则所述处理器确定指纹识别成功;
    若不匹配,则所述处理器执行将所述第二指纹信息与所述第一指纹信息合并以形成第三指纹信息的步骤。
  7. 一种指纹识别装置,其特征在于,包括:
    存储器,用于存储模板指纹信息;
    采集器,用于采集用户的指纹信息;
    处理器,用于获取采集器采集的第一指纹信息;判断所述第一指纹信息与已存储的模板指纹信息是否匹配;若所述第一指纹信息与所述模板指纹信息不匹配,则获取所述采集器采集的第二指纹信息,所述第一指纹信息和所述第二指纹信息是一次采集过程中不同时刻采集的指纹信息;之后,再将所述第二指纹信息与所述第一指纹信息合并以形成第三指纹信息,判断所述第三指纹信息与所述模板指纹信息是否匹配,若所述第三指纹信息与所述模板指纹信息匹配,则确定指纹识别成功。
  8. 根据权利要求7所述的指纹识别装置,其特征在于:
    所述处理器,具体用于将所述第二指纹信息中与所述第一指纹信息未重叠的部分保存至所述第一指纹信息中以形成所述第三指纹信息。
  9. 根据权利要求7或8所述的指纹识别装置,其特征在于:
    所述处理器,具体用于通过判断所述第一指纹信息与所述模板指纹信息的相似度是否大于第一预设阈值来判断所述第一指纹信息与已存储的模板指纹信息是否匹配,若不大于所述第一预设阈值,则所述处理器确定所述第一指纹信息与所述模板指纹信息不匹配。
  10. 根据权利要求9所述的指纹识别装置,其特征在于:
    所述处理器,具体用于当第一指纹信息与所述模板指纹信息的相似度不大于所述第一预设阈值时,判断所述第一指纹信息与所述模板指纹信息的相似度是否大于第二预设阈值,所述第二预设阈值小于所述第一预设阈值;若大于第二预设阈值,则执行获取所述采集器采集的第二指纹信息的步骤。
  11. 根据权利要求7或8所述的指纹识别装置,其特征在于:
    所述处理器,还用于当所述第三指纹信息与所述模板指纹信息匹配时,将所述第三指纹信息中与所述模板指纹信息未重叠的部分保存至所述模板指纹信息中以形成新的模板指纹信息。
  12. 根据权利要求7或8所述的指纹识别装置,其特征在于:
    所述处理器,还用于在获取所述采集器采集的第二指纹信息之后,判断所述第二指纹信息中的有效信息与所述第一指纹信息是否匹配,若匹配,则所述处理器确定指纹识别成功,若不匹配,则执行将所述第二指纹信息与所述第一指纹信息合并以形成第三指纹信息的步骤。
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