WO2017096972A1 - 提升指纹识别性能的方法、装置及移动终端 - Google Patents

提升指纹识别性能的方法、装置及移动终端 Download PDF

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Publication number
WO2017096972A1
WO2017096972A1 PCT/CN2016/097685 CN2016097685W WO2017096972A1 WO 2017096972 A1 WO2017096972 A1 WO 2017096972A1 CN 2016097685 W CN2016097685 W CN 2016097685W WO 2017096972 A1 WO2017096972 A1 WO 2017096972A1
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Prior art keywords
fingerprint
matching
fingerprint image
test
state
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PCT/CN2016/097685
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English (en)
French (fr)
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张海平
郭富豪
周意保
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广东欧珀移动通信有限公司
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Publication of WO2017096972A1 publication Critical patent/WO2017096972A1/zh

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31User authentication
    • G06F21/32User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
    • 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
    • G06V40/1365Matching; Classification
    • 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
    • G06V40/1382Detecting the live character of the finger, i.e. distinguishing from a fake or cadaver finger

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  • the present invention relates to the field of fingerprint recognition technologies, and in particular, to a method, device, and mobile terminal for improving fingerprint recognition performance.
  • FAR False Accept Rate
  • the methods for reducing FAR mainly include software and hardware.
  • the software method mainly increases the number of comparisons of fingerprint feature points, mainly adopts the progressive comparison mode from large features to small features to detailed features, which reduces the efficiency of fingerprint recognition.
  • the hardware approach is to increase the resolution of the fingerprint image, but it increases the hardware cost.
  • an object of the present invention is to provide a method for improving fingerprint recognition performance, which can effectively reduce the false alarm rate without increasing hardware costs.
  • a second object of the present invention is to provide an apparatus for improving fingerprint recognition performance.
  • a third object of the present invention is to provide a mobile terminal.
  • a fourth object of the present invention is to provide a non-volatile computer storage medium.
  • a first aspect of the present invention provides a method for improving fingerprint recognition performance, including: monitoring an operating state of a test terminal; receiving a plurality of test fingerprint images, and according to an operating state of the test terminal Selecting a fingerprint image that meets a preset condition from the plurality of test fingerprint images; matching the fingerprint image with a preset fingerprint template to obtain a matching score of the fingerprint image; and setting the matching score according to the matching score A matching threshold for determining whether fingerprint identification is successful.
  • the device of the second aspect of the present invention provides an apparatus for improving fingerprint recognition performance, comprising: a monitoring module for monitoring an operating state of a test terminal; and a selecting module, configured to receive a plurality of test fingerprint images, and according to the test terminal And the matching module is configured to: match the fingerprint image with the preset fingerprint template to obtain a matching score of the fingerprint image; and And a setting module, configured to set, according to the matching score, a matching threshold for determining whether the fingerprint identification is successful.
  • a third embodiment of the present invention provides a mobile terminal, including: a housing, a processor, a memory, a circuit board, and a power supply circuit; the circuit board is disposed inside a space enclosed by the outer casing, and the processor and the The memory is disposed on the circuit board; the power circuit is configured to supply power to each circuit or device of the mobile terminal; and the processor is configured to run the program code corresponding to the executable program by reading executable program code stored in the memory
  • the processor is configured to process data, specifically: monitoring an operating state of the test terminal; receiving a plurality of test fingerprint images, and selecting a preset from the plurality of test fingerprint images according to an operating state of the test terminal a fingerprint image of the condition; matching the fingerprint image with a preset fingerprint template to obtain a matching score of the fingerprint image; and setting a matching threshold for determining whether the fingerprint identification is successful according to the matching score.
  • a fourth aspect of the present invention provides a non-volatile computer storage medium storing one or more programs, when the one or more programs are executed by one device, causing the device A method of improving fingerprint recognition performance in accordance with an embodiment of the first aspect of the present invention is performed.
  • the invention can effectively reduce the falsehood rate without increasing the hardware cost, thereby improving the user experience.
  • FIG. 1 is a flow chart of a method of improving fingerprint recognition performance in accordance with one embodiment of the present invention
  • FIG. 2 is a schematic structural diagram of an apparatus for improving fingerprint recognition performance according to an embodiment of the present invention
  • FIG. 3 is a schematic structural diagram of a mobile terminal according to an embodiment of the present invention.
  • FIG. 1 is a flow chart of a method of improving fingerprint recognition performance in accordance with one embodiment of the present invention.
  • the method for improving fingerprint recognition performance may include:
  • the operating state of the test terminal may include a lock screen state and an unlock state.
  • S2 Receive a plurality of test fingerprint images, and select a fingerprint image that meets a preset condition from the plurality of test fingerprint images according to an operating state of the test terminal.
  • the test fingerprint image can be received. If the running state of the test terminal jumps from the lock screen state to the unlock state, the test fingerprint image is successfully unlocked, that is, the preset fingerprint condition is met, and the corresponding fingerprint image can be captured.
  • the feature points of the fingerprint image may be extracted, and then the feature points of the fingerprint image are compared with the feature points in the preset fingerprint template, and the matching scores of the fingerprint images after the comparison are obtained.
  • the feature point is information describing the fingerprint feature, the most typical is the termination point and the bifurcation point, and the others may also include divergence points, isolated points, ring points, short lines, and the like. For example, if the input fingerprint image and the preset fingerprint template have the same number of feature points of 20, the matching score of the fingerprint image is 20 points.
  • the preset fingerprint template does not belong to the same person as the received test fingerprint image, that is, if the test terminal is successfully unlocked, the error unlocking phenomenon occurs.
  • the matching scores of the fingerprint images may be sorted, and then the highest value of the matching scores is set as a matching threshold for determining whether the fingerprint recognition is successful.
  • the highest value of the matching score corresponding to the fingerprint image that is successfully unlocked is set as the matching threshold for determining whether the fingerprint identification is successful, and the false alarm rate can be effectively reduced.
  • the method for improving the fingerprint recognition performance of the embodiment of the present invention monitors the running state of the test terminal, and selects a fingerprint image that meets the preset condition from the plurality of test fingerprint images according to the running state of the test terminal, and uses the fingerprint image and the preset fingerprint.
  • the template is matched to obtain the matching score of the fingerprint image, and the matching threshold is set according to the matching score, thereby effectively reducing the falsehood rate without increasing the hardware cost, thereby improving the user experience.
  • the present invention also provides an apparatus for improving fingerprint recognition performance.
  • FIG. 2 is a block diagram showing an apparatus for improving fingerprint recognition performance according to an embodiment of the present invention.
  • the apparatus for improving fingerprint recognition performance may include: a monitoring module 110, a selection module 120, a matching module 130, and a setting module 140.
  • the monitoring module 110 is configured to monitor the running status of the test terminal.
  • the operating state of the test terminal may include a lock screen state and an unlock state.
  • the selecting module 120 is configured to receive a plurality of test fingerprint images, and select a fingerprint image that meets a preset condition from the plurality of test fingerprint images according to an operating state of the test terminal. Specifically, the test fingerprint image can be received. If the running state of the test terminal jumps from the lock screen state to the unlock state, the test fingerprint image is successfully unlocked, that is, the preset fingerprint condition is met, and the corresponding fingerprint image can be captured.
  • the matching module 130 is configured to match the fingerprint image with the preset fingerprint template to obtain a matching score of the fingerprint image.
  • the feature points of the fingerprint image may be extracted, and then the feature points of the fingerprint image are compared with the feature points in the preset fingerprint template, and the matching scores of the fingerprint images after the comparison are obtained.
  • the feature point is information describing the fingerprint feature, the most typical is the termination point and the bifurcation point, and the others may also include divergence points, isolated points, ring points, short lines, and the like. For example, if the input fingerprint image and the preset fingerprint template have the same number of feature points of 20, the matching score of the fingerprint image is 20 points.
  • the preset fingerprint template does not belong to the same person as the received test fingerprint image, that is, if the test terminal is successfully unlocked, the error unlocking phenomenon occurs.
  • the setting module 140 is configured to set a matching threshold for determining whether the fingerprint identification is successful according to the matching score. Specifically, the matching scores of the fingerprint images may be sorted, and then the highest value of the matching scores is set as a matching threshold for determining whether the fingerprint recognition is successful. The highest value of the matching score corresponding to the fingerprint image that is successfully unlocked is set as the matching threshold for determining whether the fingerprint identification is successful, and the false alarm rate can be effectively reduced.
  • the device for improving the fingerprint recognition performance of the embodiment of the present invention monitors the running state of the test terminal, and selects a fingerprint image that meets the preset condition from the plurality of test fingerprint images according to the running state of the test terminal, and uses the fingerprint image and the preset fingerprint.
  • the template is matched to obtain the matching score of the fingerprint image, and the matching threshold is set according to the matching score, thereby effectively reducing the falsehood rate without increasing the hardware cost, thereby improving the user experience.
  • the present invention further provides a mobile terminal, comprising: a housing, a processor, a memory, a circuit board, and a power supply circuit; the circuit board is disposed inside the space enclosed by the outer casing, and the processor and the memory are disposed on the circuit board.
  • a power supply circuit for powering various circuits or devices of the mobile terminal; the processor is configured to execute a program corresponding to the executable program code by reading executable program code stored in the memory;
  • the processor is used to process data, specifically for:
  • S1' monitors the operating status of the test terminal.
  • the operating state of the test terminal may include a lock screen state and an unlock state.
  • the test fingerprint image can be received. If the running state of the test terminal jumps from the lock screen state to the unlock state, the test fingerprint image is successfully unlocked, that is, the preset fingerprint condition is met, and the corresponding fingerprint image can be captured.
  • the feature points of the fingerprint image may be extracted, and then the feature points of the fingerprint image and the special features in the preset fingerprint template The points are compared and the matching scores of the fingerprint images after the comparison are obtained.
  • the feature point is information describing the fingerprint feature, the most typical is the termination point and the bifurcation point, and the others may also include divergence points, isolated points, ring points, short lines, and the like. For example, if the input fingerprint image and the preset fingerprint template have the same number of feature points of 20, the matching score of the fingerprint image is 20 points.
  • the preset fingerprint template does not belong to the same person as the received test fingerprint image, that is, if the test terminal is successfully unlocked, the error unlocking phenomenon occurs.
  • the matching scores of the fingerprint images may be sorted, and then the highest value of the matching scores is set as a matching threshold for determining whether the fingerprint recognition is successful.
  • the highest value of the matching score corresponding to the fingerprint image that is successfully unlocked is set as the matching threshold for determining whether the fingerprint identification is successful, and the false alarm rate can be effectively reduced.
  • the mobile terminal in the embodiment of the present invention monitors the running state of the test terminal, and selects a fingerprint image that meets the preset condition from the plurality of test fingerprint images according to the running state of the test terminal, and matches the fingerprint image with the preset fingerprint template.
  • the matching score of the fingerprint image is obtained, and the matching threshold is set according to the matching score, thereby effectively reducing the falsehood rate without increasing the hardware cost, thereby improving the user experience.
  • the present invention also provides a non-volatile computer storage medium storing one or more programs, when the one or more programs are executed by a device, causing the The apparatus performs a method of improving fingerprint recognition performance in accordance with an embodiment of the first aspect of the present invention.
  • first and second are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated.
  • features defining “first” or “second” may include at least one of the features, either explicitly or implicitly.
  • the meaning of "a plurality” is two or more unless specifically and specifically defined otherwise.
  • a "computer-readable medium” can be any apparatus that can contain, store, communicate, propagate, or transport a program for use in an instruction execution system, apparatus, or device, or in conjunction with the instruction execution system, apparatus, or device.
  • computer readable media include the following: electrical connections (electronic devices) having one or more wires, portable computer disk cartridges (magnetic devices), random access memory (RAM), Read only memory (ROM), erasable editable read only memory (EPROM or flash memory), fiber optic devices, and portable compact disk read only memory (CDROM).
  • the computer readable medium may even be a paper or other suitable medium on which the program can be printed, as it may be optically scanned, for example by paper or other medium, followed by editing, interpretation or, if appropriate, other suitable The method is processed to obtain the program electronically and then stored in computer memory.
  • portions of the invention may be implemented in hardware, software, firmware or a combination thereof.
  • multiple steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system.
  • a suitable instruction execution system For example, if implemented in hardware, as in another embodiment, it can be implemented by any one or combination of the following techniques well known in the art: having logic gates for implementing logic functions on data signals. Discrete logic circuits, application specific integrated circuits with suitable combinational logic gates, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.
  • each functional unit in each embodiment of the present invention may be integrated into one processing module, or each unit may exist physically separately, or two or more units may be integrated into one module.
  • the above integrated modules can be implemented in the form of hardware or in the form of software functional modules.
  • the integrated modules, if implemented in the form of software functional modules and sold or used as stand-alone products, may also be stored in a computer readable storage medium.
  • the above mentioned storage medium may be a read only memory, a magnetic disk or an optical disk or the like.

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Abstract

一种提升指纹识别性能的方法、装置及移动终端,提升指纹识别性能的方法包括:监控测试终端的运行状态(S1);接收多个测试指纹图像,并根据测试终端的运行状态从多个测试指纹图像中选取符合预设条件的指纹图像(S2);将指纹图像与预设指纹模板进行匹配以获取指纹图像的匹配分值(S3);以及根据匹配分值设置用于判断指纹识别是否成功的匹配阈值(S4)。该方法有效地降低了认假率,无需增加硬件成本。

Description

提升指纹识别性能的方法、装置及移动终端
相关申请的交叉引用
本申请要求广东欧珀移动通信有限公司于2015年12月8日提交的、发明名称为“提升指纹识别性能的方法、装置及移动终端”的、中国专利申请号“201510901644.2”的优先权。
技术领域
本发明涉及指纹识别技术领域,尤其涉及一种提升指纹识别性能的方法、装置及移动终端。
背景技术
随着科技的进步,智能移动终端已成为人们生活必不可少的工具之一。在智能移动终端中加入指纹识别技术,已经成为主流的技术方案。指纹识别技术不仅可以应用于移动终端的解锁、唤醒等功能,也是移动支付重要的一环,因此对指纹识别技术的安全性也提出更高的要求。FAR(False Accept Rate,认假率)是衡量指纹识别技术安全性的指标之一,是指将不同的指纹误认为相同的指纹,而加以接受的出错概率。
目前,降低FAR的方法主要有软件和硬件两种方法。软件方法主要是增加指纹特征点的对比个数,主要采用从大特征到小特征再到细节特征的递进式对比模式,降低了指纹识别的效率。硬件方法是提高指纹图像的分辨率,但是增加了硬件成本。
发明内容
本发明旨在至少在一定程度上解决相关技术中的技术问题之一。为此,本发明的一个目的在于提出一种提升指纹识别性能的方法,该方法能够有效地降低认假率,无需增加硬件成本。
本发明的第二个目的在于提出一种提升指纹识别性能的装置。
本发明的第三个目的在于提出一种移动终端。
本发明的第四个目的在于提出一种非易失性计算机存储介质。
为了实现上述目的,本发明第一方面实施例提出了一种提升指纹识别性能的方法,包括:监控测试终端的运行状态;接收多个测试指纹图像,并根据所述测试终端的运行状态 从多个所述测试指纹图像中选取符合预设条件的指纹图像;将所述指纹图像与预设指纹模板进行匹配以获取所述指纹图像的匹配分值;以及根据所述匹配分值设置用于判断指纹识别是否成功的匹配阈值。
本发明第二方面实施例提出了一种提升指纹识别性能的装置,包括:监控模块,用于监控测试终端的运行状态;选取模块,用于接收多个测试指纹图像,并根据所述测试终端的运行状态从多个所述测试指纹图像中选取符合预设条件的指纹图像;匹配模块,用于将所述指纹图像与预设指纹模板进行匹配以获取所述指纹图像的匹配分值;以及设置模块,用于根据所述匹配分值设置用于判断指纹识别是否成功的匹配阈值。
本发明第三方面实施例提出了一种移动终端,包括:外壳、处理器、存储器、电路板、电源电路;所述电路板安置在所述外壳围成的空间内部,所述处理器、所述存储器设置在所述电路板上;电源电路,用于为移动终端的各个电路或器件供电;所述处理器用于通过读取存储器中存储的可执行程序代码来运行与可执行程序代码对应的程序;所述处理器用于处理数据,具体用于:监控测试终端的运行状态;接收多个测试指纹图像,并根据所述测试终端的运行状态从多个所述测试指纹图像中选取符合预设条件的指纹图像;将所述指纹图像与预设指纹模板进行匹配以获取所述指纹图像的匹配分值;以及根据所述匹配分值设置用于判断指纹识别是否成功的匹配阈值。
本发明第四方面实施例提供了一种非易失性计算机存储介质,所述计算机存储介质存储有一个或者多个程序,当所述一个或者多个程序被一个设备执行时,使得所述设备执行以本发明第一方面实施例的提升指纹识别性能的方法。
本发明能够有效地降低认假率,无需增加硬件成本,进而提升用户使用体验。
附图说明
为了更清楚地说明本发明实施例中的技术方案,下面将对实施例中所需要使用的附图作简单地介绍,显而易见地,下面描述中的附图是本发明的一些实施例,对于本领域普通技术人员来讲,在不付出创造性劳动的前提下,还可以根据这些附图获得其他的附图。
图1是根据本发明一个实施例的提升指纹识别性能的方法的流程图;
图2是根据本发明一个实施例的提升指纹识别性能的装置的结构示意图;
图3是根据本发明一个实施例的移动终端的结构示意图。
具体实施方式
下面详细描述本发明的实施例,所述实施例的示例在附图中示出,其中自始至终相同 或类似的标号表示相同或类似的元件或具有相同或类似功能的元件。下面通过参考附图描述的实施例是示例性的,旨在用于解释本发明,而不能理解为对本发明的限制。
下面参考附图描述本发明实施例的提升指纹识别性能的方法、装置及移动终端。
图1是根据本发明一个实施例的提升指纹识别性能的方法的流程图。
如图1所示,提升指纹识别性能的方法可包括:
S1、监控测试终端的运行状态。
其中,测试终端的运行状态可包括锁屏状态和解锁状态。
S2、接收多个测试指纹图像,并根据测试终端的运行状态从多个测试指纹图像中选取符合预设条件的指纹图像。
具体地,可接收测试指纹图像,如果测试终端的运行状态从锁屏状态跳转至解锁状态,说明该测试指纹图像解锁成功,即符合预设条件,则可抓取对应的指纹图像。
S3、将指纹图像与预设指纹模板进行匹配以获取指纹图像的匹配分值。
具体地,可提取指纹图像的特征点,然后将指纹图像的特征点与预设指纹模板中的特征点进行比对,并获取比对之后的指纹图像的匹配分值。其中,特征点是描述指纹特征的信息,最典型的是终结点和分叉点,其他还可包括分歧点、孤立点、环点、短纹等。举例来说,假设输入的指纹图像和预设指纹模板,两者具有相同的特征点的数量为20个,则指纹图像的匹配分值为20分。其中,预设指纹模板与接收的测试指纹图像不属于同一个人,即如果测试终端解锁成功,则说明出现了误解锁现象。
S4、根据匹配分值设置用于判断指纹识别是否成功的匹配阈值。
具体地,可对指纹图像的匹配分值进行排序,然后将匹配分值中的最高值设置为用于判断指纹识别是否成功的匹配阈值。将误解锁成功的指纹图像对应的匹配分值的最高值设置为判断指纹识别是否成功的匹配阈值,能有效地降低认假率。
本发明实施例的提升指纹识别性能的方法,通过监控测试终端的运行状态,并根据测试终端的运行状态从多个测试指纹图像中选取符合预设条件的指纹图像,将指纹图像与预设指纹模板进行匹配以获取指纹图像的匹配分值,并根据匹配分值设置匹配阈值,有效地降低了认假率,无需增加硬件成本,进而提升用户使用体验。
为实现上述目的,本发明还提出一种提升指纹识别性能的装置。
图2是根据本发明一个实施例的提升指纹识别性能的装置的结构示意图。
如图2所示,提升指纹识别性能的装置可包括:监控模块110、选取模块120、匹配模块130和设置模块140。
监控模块110用于监控测试终端的运行状态。其中,测试终端的运行状态可包括锁屏状态和解锁状态。
选取模块120用于接收多个测试指纹图像,并根据测试终端的运行状态从多个测试指纹图像中选取符合预设条件的指纹图像。具体地,可接收测试指纹图像,如果测试终端的运行状态从锁屏状态跳转至解锁状态,说明该测试指纹图像解锁成功,即符合预设条件,则可抓取对应的指纹图像。
匹配模块130用于将指纹图像与预设指纹模板进行匹配以获取指纹图像的匹配分值。具体地,可提取指纹图像的特征点,然后将指纹图像的特征点与预设指纹模板中的特征点进行比对,并获取比对之后的指纹图像的匹配分值。其中,特征点是描述指纹特征的信息,最典型的是终结点和分叉点,其他还可包括分歧点、孤立点、环点、短纹等。举例来说,假设输入的指纹图像和预设指纹模板,两者具有相同的特征点的数量为20个,则指纹图像的匹配分值为20分。其中,预设指纹模板与接收的测试指纹图像不属于同一个人,即如果测试终端解锁成功,则说明出现了误解锁现象。
设置模块140用于根据匹配分值设置用于判断指纹识别是否成功的匹配阈值。具体地,可对指纹图像的匹配分值进行排序,然后将匹配分值中的最高值设置为用于判断指纹识别是否成功的匹配阈值。将误解锁成功的指纹图像对应的匹配分值的最高值设置为判断指纹识别是否成功的匹配阈值,能有效地降低认假率。
本发明实施例的提升指纹识别性能的装置,通过监控测试终端的运行状态,并根据测试终端的运行状态从多个测试指纹图像中选取符合预设条件的指纹图像,将指纹图像与预设指纹模板进行匹配以获取指纹图像的匹配分值,并根据匹配分值设置匹配阈值,有效地降低了认假率,无需增加硬件成本,进而提升用户使用体验。
为了实现上述实施例,本发明还提出一种移动终端,包括:外壳、处理器、存储器、电路板、电源电路;电路板安置在外壳围成的空间内部,处理器、存储器设置在电路板上;电源电路,用于为移动终端的各个电路或器件供电;处理器用于通过读取存储器中存储的可执行程序代码来运行与可执行程序代码对应的程序;
处理器用于处理数据,具体用于:
S1’、监控测试终端的运行状态。
其中,测试终端的运行状态可包括锁屏状态和解锁状态。
S2’、接收多个测试指纹图像,并根据测试终端的运行状态从多个测试指纹图像中选取符合预设条件的指纹图像。
具体地,可接收测试指纹图像,如果测试终端的运行状态从锁屏状态跳转至解锁状态,说明该测试指纹图像解锁成功,即符合预设条件,则可抓取对应的指纹图像。
S3’、将指纹图像与预设指纹模板进行匹配以获取指纹图像的匹配分值。
具体地,可提取指纹图像的特征点,然后将指纹图像的特征点与预设指纹模板中的特 征点进行比对,并获取比对之后的指纹图像的匹配分值。其中,特征点是描述指纹特征的信息,最典型的是终结点和分叉点,其他还可包括分歧点、孤立点、环点、短纹等。举例来说,假设输入的指纹图像和预设指纹模板,两者具有相同的特征点的数量为20个,则指纹图像的匹配分值为20分。其中,预设指纹模板与接收的测试指纹图像不属于同一个人,即如果测试终端解锁成功,则说明出现了误解锁现象。
S4’、根据匹配分值设置用于判断指纹识别是否成功的匹配阈值。
具体地,可对指纹图像的匹配分值进行排序,然后将匹配分值中的最高值设置为用于判断指纹识别是否成功的匹配阈值。将误解锁成功的指纹图像对应的匹配分值的最高值设置为判断指纹识别是否成功的匹配阈值,能有效地降低认假率。
本发明实施例的移动终端,通过监控测试终端的运行状态,并根据测试终端的运行状态从多个测试指纹图像中选取符合预设条件的指纹图像,将指纹图像与预设指纹模板进行匹配以获取指纹图像的匹配分值,并根据匹配分值设置匹配阈值,有效地降低了认假率,无需增加硬件成本,进而提升用户使用体验。
为了实现上述实施例,本发明还提出一种非易失性计算机存储介质,所述计算机存储介质存储有一个或者多个程序,当所述一个或者多个程序被一个设备执行时,使得所述设备执行以本发明第一方面实施例的提升指纹识别性能的方法。
在本说明书的描述中,参考术语“一个实施例”、“一些实施例”、“示例”、“具体示例”、或“一些示例”等的描述意指结合该实施例或示例描述的具体特征、结构、材料或者特点包含于本发明的至少一个实施例或示例中。在本说明书中,对上述术语的示意性表述不必须针对的是相同的实施例或示例。而且,描述的具体特征、结构、材料或者特点可以在任一个或多个实施例或示例中以合适的方式结合。此外,在不相互矛盾的情况下,本领域的技术人员可以将本说明书中描述的不同实施例或示例以及不同实施例或示例的特征进行结合和组合。
此外,术语“第一”、“第二”仅用于描述目的,而不能理解为指示或暗示相对重要性或者隐含指明所指示的技术特征的数量。由此,限定有“第一”、“第二”的特征可以明示或者隐含地包括至少一个该特征。在本发明的描述中,“多个”的含义是两个或两个以上,除非另有明确具体的限定。
流程图中或在此以其他方式描述的任何过程或方法描述可以被理解为,表示包括一个或更多个用于实现特定逻辑功能或过程的步骤的可执行指令的代码的模块、片段或部分,并且本发明的优选实施方式的范围包括另外的实现,其中可以不按所示出或讨论的顺序,包括根据所涉及的功能按基本同时的方式或按相反的顺序,来执行功能,这应被本发明的 实施例所属技术领域的技术人员所理解。
在流程图中表示或在此以其他方式描述的逻辑和/或步骤,例如,可以被认为是用于实现逻辑功能的可执行指令的定序列表,可以具体实现在任何计算机可读介质中,以供指令执行系统、装置或设备(如基于计算机的系统、包括处理器的系统或其他可以从指令执行系统、装置或设备取指令并执行指令的系统)使用,或结合这些指令执行系统、装置或设备而使用。就本说明书而言,"计算机可读介质"可以是任何可以包含、存储、通信、传播或传输程序以供指令执行系统、装置或设备或结合这些指令执行系统、装置或设备而使用的装置。计算机可读介质的更具体的示例(非穷尽性列表)包括以下:具有一个或多个布线的电连接部(电子装置),便携式计算机盘盒(磁装置),随机存取存储器(RAM),只读存储器(ROM),可擦除可编辑只读存储器(EPROM或闪速存储器),光纤装置,以及便携式光盘只读存储器(CDROM)。另外,计算机可读介质甚至可以是可在其上打印所述程序的纸或其他合适的介质,因为可以例如通过对纸或其他介质进行光学扫描,接着进行编辑、解译或必要时以其他合适方式进行处理来以电子方式获得所述程序,然后将其存储在计算机存储器中。
应当理解,本发明的各部分可以用硬件、软件、固件或它们的组合来实现。在上述实施方式中,多个步骤或方法可以用存储在存储器中且由合适的指令执行系统执行的软件或固件来实现。例如,如果用硬件来实现,和在另一实施方式中一样,可用本领域公知的下列技术中的任一项或他们的组合来实现:具有用于对数据信号实现逻辑功能的逻辑门电路的离散逻辑电路,具有合适的组合逻辑门电路的专用集成电路,可编程门阵列(PGA),现场可编程门阵列(FPGA)等。
本技术领域的普通技术人员可以理解实现上述实施例方法携带的全部或部分步骤是可以通过程序来指令相关的硬件完成,所述的程序可以存储于一种计算机可读存储介质中,该程序在执行时,包括方法实施例的步骤之一或其组合。
此外,在本发明各个实施例中的各功能单元可以集成在一个处理模块中,也可以是各个单元单独物理存在,也可以两个或两个以上单元集成在一个模块中。上述集成的模块既可以采用硬件的形式实现,也可以采用软件功能模块的形式实现。所述集成的模块如果以软件功能模块的形式实现并作为独立的产品销售或使用时,也可以存储在一个计算机可读取存储介质中。
上述提到的存储介质可以是只读存储器,磁盘或光盘等。尽管上面已经示出和描述了本发明的实施例,可以理解的是,上述实施例是示例性的,不能理解为对本发明的限制,本领域的普通技术人员在本发明的范围内可以对上述实施例进行变化、修改、替换和变型。

Claims (19)

  1. 一种提升指纹识别性能的方法,其特征在于,包括以下步骤:
    监控测试终端的运行状态;
    接收多个测试指纹图像,并根据所述测试终端的运行状态从多个所述测试指纹图像中选取符合预设条件的指纹图像;
    将所述指纹图像与预设指纹模板进行匹配以获取所述指纹图像的匹配分值;以及
    根据所述匹配分值设置用于判断指纹识别是否成功的匹配阈值。
  2. 如权利要求1所述的方法,所述运行状态包括锁屏状态和解锁状态。
  3. 如权利要求2所述的方法,其特征在于,根据所述测试终端的运行状态从多个所述测试指纹图像中选取符合预设条件的指纹图像,具体包括:
    当所述测试终端的运行状态从所述锁屏状态跳转至所述解锁状态时,抓取对应的指纹图像。
  4. 如权利要求1所述的方法,其特征在于,将所述指纹图像与预设指纹模板进行匹配以获取所述指纹图像的匹配分值,具体包括:
    提取所述指纹图像的特征点;
    将所述指纹图像的特征点与所述预设指纹模板中的特征点进行比对,并获取比对之后的所述指纹图像的匹配分值。
  5. 如权利要求1所述的方法,其特征在于,根据所述匹配分值设置用于判断指纹识别是否成功的匹配阈值,具体包括:
    对所述指纹图像的匹配分值进行排序,并将所述匹配分值中的最高值作为匹配阈值。
  6. 如权利要求4所述的方法,其特征在于,所述特征点包括终结点、分叉点、分歧点、孤立点、环点、短纹中的至少一种。
  7. 一种提升指纹识别性能的装置,其特征在于,包括:
    监控模块,用于监控测试终端的运行状态;
    选取模块,用于接收多个测试指纹图像,并根据所述测试终端的运行状态从多个所述测试指纹图像中选取符合预设条件的指纹图像;
    匹配模块,用于将所述指纹图像与预设指纹模板进行匹配以获取所述指纹图像的匹配分值;以及
    设置模块,用于根据所述匹配分值设置用于判断指纹识别是否成功的匹配阈值。
  8. 如权利要求7所述的装置,所述运行状态包括锁屏状态和解锁状态。
  9. 如权利要求8所述的装置,其特征在于,所述选取模块,具体用于:
    当所述测试终端的运行状态从所述锁屏状态跳转至所述解锁状态时,抓取对应的指纹图像。
  10. 如权利要求7所述的装置,其特征在于,所述匹配模块,具体用于:
    提取所述指纹图像的特征点;
    将所述指纹图像的特征点与所述预设指纹模板中的特征点进行比对;
    获取比对之后的所述指纹图像的匹配分值。
  11. 如权利要求7所述的装置,其特征在于,所述设置模块,具体用于:
    对所述匹配分值进行排序,并将所述匹配分值中的最高值作为匹配阈值。
  12. 如权利要求10所述的装置,其特征在于,所述特征点包括终结点、分叉点、分歧点、孤立点、环点、短纹中的至少一种。
  13. 一种移动终端,其特征在于,包括:外壳、处理器、存储器、电路板、电源电路;
    所述电路板安置在所述外壳围成的空间内部,所述处理器、所述存储器设置在所述电路板上;
    电源电路,用于为移动终端的各个电路或器件供电;
    所述处理器用于通过读取存储器中存储的可执行程序代码来运行与可执行程序代码对应的程序;
    所述处理器用于处理数据,具体用于:
    监控测试终端的运行状态;接收多个测试指纹图像,并根据所述测试终端的运行状态从多个所述测试指纹图像中选取符合预设条件的指纹图像;将所述指纹图像与预设指纹模板进行匹配以获取所述指纹图像的匹配分值;以及根据所述匹配分值设置用于判断指纹识别是否成功的匹配阈值。
  14. 如权利要求13所述的移动终端,所述运行状态包括锁屏状态和解锁状态。
  15. 如权利要求14所述的移动终端,其特征在于,所述处理器用于:
    当所述测试终端的运行状态从所述锁屏状态跳转至所述解锁状态时,抓取对应的指纹图像。
  16. 如权利要求13所述的移动终端,其特征在于,所述处理器用于:
    提取所述指纹图像的特征点;
    将所述指纹图像的特征点与所述预设指纹模板中的特征点进行比对,并获取比对之后的所述指纹图像的匹配分值。
  17. 如权利要求13所述的移动终端,其特征在于,所述处理器用于:
    对所述指纹图像的匹配分值进行排序,并将所述匹配分值中的最高值作为匹配阈值。
  18. 如权利要求16所述的移动终端,其特征在于,所述特征点包括终结点、分叉点、 分歧点、孤立点、环点、短纹中的至少一种。
  19. 一种计算机存储介质,其特征在于,所述计算机存储介质存储有一个或者多个程序,所述程序用于执行根据权利要求1-6任一项所述的提升指纹识别性能的方法。
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