WO2016206081A1 - 一种指纹模板更新方法和装置 - Google Patents

一种指纹模板更新方法和装置 Download PDF

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Publication number
WO2016206081A1
WO2016206081A1 PCT/CN2015/082474 CN2015082474W WO2016206081A1 WO 2016206081 A1 WO2016206081 A1 WO 2016206081A1 CN 2015082474 W CN2015082474 W CN 2015082474W WO 2016206081 A1 WO2016206081 A1 WO 2016206081A1
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Prior art keywords
fingerprint
fingerprint feature
template
feature
target
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PCT/CN2015/082474
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English (en)
French (fr)
Inventor
张大伟
吴炽强
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宇龙计算机通信科技(深圳)有限公司
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Priority to PCT/CN2015/082474 priority Critical patent/WO2016206081A1/zh
Publication of WO2016206081A1 publication Critical patent/WO2016206081A1/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
    • G06V40/1347Preprocessing; Feature extraction

Definitions

  • the present invention relates to the field of fingerprint recognition technology, and more particularly to a method and apparatus for updating a fingerprint template.
  • Fingerprint recognition refers to fingerprint identification by comparing the detailed feature points of different fingerprints. Fingerprint recognition can be applied to multiple application scenarios such as authentication or touch input.
  • Fingerprint recognition generally includes several key steps such as fingerprint image acquisition, fingerprint feature extraction and fingerprint feature matching.
  • the fingerprint matching refers to comparing and matching the fingerprint feature extracted from the fingerprint image with the fingerprint feature in the fingerprint template preset in the fingerprint database.
  • the fingerprint input process due to the different fingerprint patterns of the user, the input strength and the point of the force are different, so that the difference of the fingerprint is large. Therefore, if the fingerprint feature in the fingerprint database is too single or the feature information is incomplete, the fingerprint input process may need to match the currently input fingerprint with the fingerprint template feature in the fingerprint template in the fingerprint template library to finally complete the fingerprint.
  • Feature matching makes the fingerprint recognition process take a long time, and there may even be a case where the fingerprint recognition success rate is low.
  • the present invention provides a fingerprint template updating method and apparatus to reduce the time consumption of fingerprint recognition and improve the success rate of fingerprint recognition.
  • a method for updating a fingerprint template including:
  • the method further includes:
  • the fingerprint feature of the fingerprint to be recognized is a distinctive fingerprint feature that does not belong to the target fingerprint feature template.
  • the determining, from the fingerprint feature of the fingerprint to be identified, the distinctive fingerprint feature that is not included in the target fingerprint feature template including:
  • the determining, from the fingerprint feature of the fingerprint to be identified, the distinctive fingerprint feature that is not included in the target fingerprint feature template including:
  • the method further includes:
  • the method further includes:
  • the fingerprint to be recognized is added to the fingerprint database as a fingerprint feature template. in.
  • the present application further provides a fingerprint template updating apparatus, including:
  • a fingerprint detecting unit configured to detect a fingerprint to be recognized currently input
  • a feature extraction unit configured to extract a fingerprint feature of the fingerprint to be identified
  • a fingerprint matching unit configured to match the fingerprint to be identified with a fingerprint feature template in a preset fingerprint database based on the fingerprint feature of the fingerprint to be identified;
  • a difference aligning unit configured to: when matching at least one target fingerprint feature template that meets the requirement that the matching degree with the fingerprint to be identified meets the requirement from the fingerprint feature template of the fingerprint library, from the fingerprint feature of the fingerprint to be recognized Determining a distinctive fingerprint feature that is not included in the target fingerprint feature template;
  • a template updating unit configured to add the difference fingerprint feature to the target fingerprint feature template to obtain an updated target fingerprint feature template.
  • the device further comprises:
  • a determining unit configured to determine, before the distinguishing comparison unit determines the distinguishing fingerprint feature, whether the fingerprint feature in the target fingerprint feature template is identical to the fingerprint feature in the to-be-identified fingerprint
  • the difference comparison unit includes:
  • a difference matching subunit configured to determine, in the fingerprint feature of the fingerprint to be recognized, when the determining unit determines that the fingerprint feature in the target fingerprint feature template is different from the fingerprint feature in the fingerprint to be recognized a distinctive fingerprint feature that does not belong to the target fingerprint feature template.
  • the difference comparison unit comprises:
  • a first aligning unit configured to: when the at least one target fingerprint feature template that meets the requirement that the matching degree of the fingerprint to be identified meets the requirement is matched from the fingerprint feature template of the fingerprint library, the fingerprint feature of the fingerprint to be recognized Determining, respectively, a distinctive fingerprint feature that is not included in each of the target fingerprint feature templates;
  • the template update unit includes:
  • a first update unit configured to add a differentiated fingerprint feature corresponding to the target fingerprint feature template to the target fingerprint feature template, to obtain an updated target fingerprint feature template.
  • the difference comparison unit comprises:
  • a second comparison unit configured to: when the at least one target fingerprint feature template that meets the requirement that the matching degree of the fingerprint to be identified meets the requirement is matched from the fingerprint feature template of the fingerprint library, the fingerprint feature of the fingerprint to be recognized Determining a distinctive fingerprint feature that does not belong to the at least one target fingerprint feature template;
  • the template update unit includes:
  • a second update unit configured to add the difference fingerprint feature to the at least one target fingerprint feature template to obtain the updated at least one target fingerprint feature template.
  • the method further includes:
  • a template enriching unit configured to compare the fingerprint feature to any one of the fingerprint feature templates of the fingerprint library that does not belong to the target fingerprint feature template, while the distinguishing comparison unit determines the distinguishing fingerprint feature
  • the fingerprint feature of the template and the fingerprint feature of the fingerprint to be identified, and the difference feature of the fingerprint feature of the fingerprint to be identified that does not belong to the fingerprint feature template is added to the fingerprint feature template.
  • the method further includes:
  • a template adding unit configured to: when the fingerprint matching unit does not match a fingerprint feature template of the fingerprint library to a target fingerprint feature template that meets a requirement for matching with the fingerprint to be identified, A fingerprint feature template is added to the fingerprint library.
  • the target fingerprint feature template adds the distinctive fingerprint feature that exists in the fingerprint to be identified and does not exist in the target fingerprint feature template to the target fingerprint feature template, thereby achieving the purpose of updating the fingerprint feature in the fingerprint database, and enriching the fingerprint database.
  • the fingerprint feature data in the fingerprint is convenient for quickly matching the fingerprint feature template matching the fingerprint feature of the fingerprint to be identified in the fingerprint recognition, and is also beneficial to improving the success rate of the fingerprint recognition.
  • FIG. 1 is a schematic flow chart of an embodiment of a fingerprint template updating method according to the present invention.
  • FIG. 2 is a schematic diagram showing an updated fingerprint feature template of the present application
  • FIG. 3 is a schematic structural diagram of an embodiment of a fingerprint template updating apparatus according to the present application.
  • FIG. 1 is a schematic flowchart diagram of an embodiment of a method for updating a fingerprint template according to the present invention.
  • the method in this embodiment may include:
  • the fingerprint template updating method of the present invention can be applied to any device that needs to perform fingerprint identification, such as a touch screen mobile phone, a fingerprint identity verification device, and the like.
  • the user can trigger the fingerprint identification device to perform fingerprint recognition by inputting a fingerprint in the fingerprint data input area of the fingerprint identification device, so that the fingerprint recognition device responds to the user's input operation or requests identity verification.
  • the electronic device detects the fingerprint input of the user, the input fingerprint image is obtained.
  • the detected fingerprint image to be fingerprinted is referred to as the fingerprint to be recognized.
  • the fingerprint feature template is fingerprint feature data formed in advance according to the fingerprint image.
  • the fingerprint feature may include feature points of the fingerprint image, such as endpoints or intersections in the fingerprint, and the location, orientation, etc. of the endpoint or intersection.
  • Fingerprint feature extraction and feature matching for fingerprint recognition can be performed by any existing feature extraction and matching technology.
  • the process of fingerprint feature extraction and matching can be similar to the existing implementation process, and will not be described here.
  • the requirement that the matching degree needs to be met may be set according to actual needs.
  • the matching requirement may be that the matching degree between the fingerprint feature in the fingerprint to be identified and the fingerprint feature in the target fingerprint feature template exceeds a preset threshold.
  • the fingerprint recognition device determines that the fingerprint is recognized.
  • the fingerprint feature information included in the fingerprint identifier may be different, but the differential fingerprint feature existing in the fingerprint to be recognized and not belonging to the target fingerprint feature template may be A more important part of the user's fingerprint.
  • the partial fingerprint feature is added to the target fingerprint feature template to enrich the target fingerprint feature template.
  • the fingerprint identification process it may be necessary to compare the fingerprint to be identified with all the fingerprint feature templates in the fingerprint library to obtain the recognition result.
  • the fingerprint features in the fingerprint feature template in the fingerprint library are continuously enriched, so that the fingerprint feature data in the same fingerprint feature template is increased, which is advantageous for determining the fingerprint feature template in less case. Whether the fingerprint to be identified matches the fingerprint feature in the fingerprint library is beneficial to improve the speed of fingerprint matching and reduce the time required for fingerprint matching.
  • the users of most fingerprint identification devices are generally a limited number of relatively fixed users, for example, the same mobile phone may only be used by the holder of the mobile phone or the family of the holder, and the invention is
  • the method adds the fingerprint feature that is not in the fingerprint database to the fingerprint feature template of the fingerprint database, and then the fingerprint input is performed again, and the fingerprint matching can be quickly matched to the matching degree.
  • the required fingerprint feature template improves the speed of fingerprint matching.
  • the target fingerprint feature template is to be The fingerprint feature that exists in the fingerprint and does not exist in the target fingerprint feature template is added to the target fingerprint feature template, thereby achieving the purpose of updating the fingerprint feature in the fingerprint database, and enriching the fingerprint feature data in the fingerprint database, which is beneficial to Improve the success rate of fingerprint recognition; it is also beneficial to reduce the situation that all fingerprint feature templates are matched in sequence during fingerprint recognition, which is beneficial to reduce the time-consuming of fingerprint recognition.
  • the preset rule may be set according to requirements, such as the definition of the fingerprint to be recognized reaches a preset requirement.
  • one of the possible cases is: determining, from the fingerprint features of the fingerprint to be identified, the distinctive fingerprint features not included in each target fingerprint feature template; and then, for any one target The fingerprint feature template adds the different fingerprint feature corresponding to the target fingerprint feature template to the target fingerprint feature template to obtain an updated target fingerprint feature template.
  • the difference between the fingerprint feature template and the fingerprint to be recognized may be different, and each target fingerprint feature template is enriched based on the different fingerprint features of each target fingerprint feature template and the fingerprint to be identified. Based on the situation, after the fingerprint feature template updating method is used for a long time, all the fingerprint feature templates in the fingerprint library tend to be unified, which is beneficial to reduce the complexity of the recognition comparison.
  • another possible situation is: determining, from the fingerprint feature of the fingerprint to be identified, a distinctive fingerprint feature that does not belong to the at least one target fingerprint feature template; and then adding the differentiated fingerprint feature to the at least one target fingerprint feature In the template, at least one target fingerprint feature template is obtained.
  • the determined distinctive fingerprint feature actually includes the fingerprint feature that is not included in the target fingerprint feature template. This method is used to reduce the amount of data stored in the fingerprint database on the basis of enriching the fingerprint features in the fingerprint database.
  • FIG. 2 shows a schematic diagram of an updated target fingerprint feature template obtained based on the fingerprint to be identified and the target fingerprint feature template.
  • an example is to match a target fingerprint feature template.
  • the area 21 and the area 22 are target fingerprint feature templates, and the area 22 and the area 23 constitute a fingerprint to be recognized.
  • the target fingerprint feature template and the fingerprint of the area 22 part of the to-be-identified fingerprint.
  • Feature matching, and the fingerprint feature of the area 23 in the fingerprint to be identified is not included in the target fingerprint feature template. Therefore, the fingerprint feature in the area 23 is a distinguishing fingerprint feature, thereby adding the distinctive fingerprint feature in the area 23 to the target.
  • the updated target fingerprint feature template includes fingerprint features in the region 21, the region 22, and the region 23.
  • the target fingerprint feature template before determining the distinctive fingerprint feature that is not included in the target fingerprint feature template, determining that the fingerprint feature in the target fingerprint feature template is in the fingerprint to be recognized Whether the fingerprint features are identical. If the target fingerprint feature template includes all the fingerprint features in the fingerprint to be identified, the target fingerprint feature template does not need to be updated. When there is a difference between the fingerprint feature in the target fingerprint feature template and the fingerprint feature in the fingerprint to be identified, it is required to determine a distinctive fingerprint feature of the fingerprint feature of the fingerprint to be recognized that does not belong to the target fingerprint feature template, and Add the difference fingerprint feature Go to the fingerprint feature to be identified.
  • the fingerprint feature of the fingerprint feature template is compared with the fingerprint feature of the fingerprint to be identified, and the fingerprint feature of the fingerprint feature of the fingerprint to be identified that does not belong to the fingerprint feature template is added to the fingerprint feature template. That is to say, after the fingerprint to be identified is identified as a fingerprint matching the fingerprint feature template in the fingerprint database, the difference fingerprint feature between the fingerprint to be recognized and each fingerprint feature template in the fingerprint database is determined, and the fingerprint is The fingerprint feature corresponding to the feature template is added to the fingerprint feature template. Get the updated target fingerprint feature template.
  • a fingerprint feature template that does not match the fingerprint to be identified may also appear.
  • the fingerprint to be recognized may represent a fingerprint state of the user's finger. For example, when the fingerprint library only contains the user's middle finger fingerprint feature, when the user uses the little finger to perform fingerprint input, the fingerprint recognition may be failed. However, the fingerprint feature of the user's little finger is also a key fingerprint feature of the user. Therefore, in order to enrich the fingerprint feature template in the fingerprint database, when the fingerprint matching unit does not match the fingerprint feature template of the fingerprint library to the target fingerprint feature template that meets the requirements for matching with the fingerprint to be identified, The fingerprint to be identified is added to the fingerprint library as a fingerprint feature template.
  • FIG. 3 is a schematic structural diagram of an embodiment of a fingerprint template updating apparatus according to the present application.
  • the apparatus of this embodiment may include:
  • the fingerprint detecting unit 301 is configured to detect the currently input fingerprint to be recognized
  • a feature extraction unit 302 configured to extract a fingerprint feature of the fingerprint to be identified
  • the fingerprint matching unit 303 is configured to match the fingerprint to be identified with the fingerprint feature template in the preset fingerprint database based on the fingerprint feature of the fingerprint to be identified;
  • the difference matching unit 303 is configured to: when the at least one target fingerprint feature template that meets the requirement that the matching degree of the fingerprint to be identified meets the requirement is matched from the fingerprint feature template of the fingerprint library, the fingerprint feature of the fingerprint to be recognized Determining a distinctive fingerprint feature that is not included in the target fingerprint feature template;
  • the template updating unit 304 is configured to add the difference fingerprint feature to the target fingerprint feature template to obtain an updated target fingerprint feature template.
  • the fingerprint to be identified exists and the target exists.
  • the fingerprint feature that does not exist in the fingerprint feature template is added to the target fingerprint feature template, which achieves the purpose of updating the fingerprint feature in the fingerprint database, and enriches the fingerprint feature data in the fingerprint database, which is beneficial to improving the success rate of fingerprint recognition; It is also beneficial to reduce the situation that all fingerprint feature templates are matched in sequence during the fingerprint identification process, thereby reducing the time consumption of fingerprint recognition.
  • the fingerprint template updating apparatus of the present invention may further include:
  • a determining unit configured to determine, before the distinguishing comparison unit determines the distinguishing fingerprint feature, whether the fingerprint feature in the target fingerprint feature template is identical to the fingerprint feature in the to-be-identified fingerprint
  • the difference comparison unit may include:
  • a difference matching subunit configured to determine, in the fingerprint feature of the fingerprint to be recognized, when the determining unit determines that the fingerprint feature in the target fingerprint feature template is different from the fingerprint feature in the fingerprint to be recognized a distinctive fingerprint feature that does not belong to the target fingerprint feature template.
  • the method for determining the difference fingerprint feature is determined by the difference comparison unit, where the difference comparison unit may include:
  • a first aligning unit configured to: when the at least one target fingerprint feature template that meets the requirement that the matching degree of the fingerprint to be identified meets the requirement is matched from the fingerprint feature template of the fingerprint library, the fingerprint feature of the fingerprint to be recognized Determining, respectively, a distinctive fingerprint feature that is not included in each of the target fingerprint feature templates;
  • the template update unit includes:
  • a first update unit configured to add a differentiated fingerprint feature corresponding to the target fingerprint feature template to the target fingerprint feature template, to obtain an updated target fingerprint feature template.
  • another method for determining a distinctive fingerprint feature is determined based on the difference comparison unit, where the difference comparison unit may include:
  • a second comparison unit configured to: when the at least one target fingerprint feature template that meets the requirement that the matching degree of the fingerprint to be identified meets the requirement is matched from the fingerprint feature template of the fingerprint library, the fingerprint feature of the fingerprint to be recognized Determining a distinctive fingerprint feature that does not belong to the at least one target fingerprint feature template;
  • the template update unit includes:
  • a second update unit configured to add the difference fingerprint feature to the at least one target fingerprint feature template to obtain the updated at least one target fingerprint feature template.
  • the apparatus may further include:
  • a template enriching unit configured to compare the fingerprint feature to any one of the fingerprint feature templates of the fingerprint library that does not belong to the target fingerprint feature template, while the distinguishing comparison unit determines the distinguishing fingerprint feature
  • the fingerprint feature of the template and the fingerprint feature of the fingerprint to be identified, and the difference feature of the fingerprint feature of the fingerprint to be identified that does not belong to the fingerprint feature template is added to the fingerprint feature template.
  • the apparatus may further include:
  • a template adding unit configured to: when the fingerprint matching unit does not match a fingerprint feature template of the fingerprint library to a target fingerprint feature template that meets a requirement for matching with the fingerprint to be identified, A fingerprint feature template is added to the fingerprint library.

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Abstract

本发明实施例提供了一种指纹模板更新方法和装置,该方法包括:检测当前输入的待识别指纹;提取待识别指纹的指纹特征;基于待识别指纹的指纹特征,将待识别指纹与预置的指纹库中的指纹特征模板进行匹配;当从指纹库的指纹特征模板中匹配出与待识别指纹的匹配度满足要求的至少一个目标指纹特征模板时,从待识别指纹的指纹特征中,确定出目标指纹特征模板不包含的区别指纹特征;将区别指纹特征添加到目标指纹特征模板中,得到更新后的目标指纹特征模板。该方法和装置可以降低指纹识别的耗时,提高指纹识别的成功率。

Description

一种指纹模板更新方法和装置 技术领域
本发明涉及指纹识别技术领域,更具体的说是涉及一种指纹模板更新方法和装置。
背景技术
指纹识别是指通过比较不同指纹的细节特征点来进行指纹鉴别。指纹识别可以应用于身份验证或者触摸输入等多个应用场景中。
指纹识别一般包括指纹图像获取,指纹特征提取以及指纹特征匹配等几个关键步骤。其中,指纹匹配是指将从指纹图像中提取出的指纹特征与指纹库中预置的指纹模板中的指纹特征进行对比匹配。然而在指纹输入过程中,由于用户指纹形态不同,输入的力度和着力点不同,使得指纹的差异性较大。因此,如果指纹库中的指纹特征过于单一或者特征信息不完整,则在指纹识别过程中可能需要将当前输入的指纹与指纹模板库中的指纹模板中的指纹模板特征一一匹配才能最终完成指纹特征匹配,使得指纹识别过程耗时较长,甚至会存在指纹识别成功率低的情况。
发明内容
有鉴于此,本发明提供了一种指纹模板更新方法和装置,以降低指纹识别的耗时,以及提高指纹识别的成功率。
为实现上述目的,本发明提供如下技术方案:一种指纹模板更新方法,包括:
检测当前输入的待识别指纹;
提取所述待识别指纹的指纹特征;
基于所述待识别指纹的指纹特征,将所述待识别指纹与预置的指纹库中的指纹特征模板进行匹配;
当从所述指纹库的指纹特征模板中匹配出与所述待识别指纹的匹配度 满足要求的至少一个目标指纹特征模板时,从所述待识别指纹的指纹特征中,确定出所述目标指纹特征模板不包含的区别指纹特征;
将所述区别指纹特征添加到所述目标指纹特征模板中,得到更新后的目标指纹特征模板。
优选的,在所述确定出所述目标指纹特征模板不包含的区别指纹特征之前,还包括:
判断所述目标指纹特征模板中的指纹特征与所述待识别指纹中的指纹特征是否完全相同;
则所述从所述待识别指纹的指纹特征中,确定出所述目标指纹特征模板不包含的区别指纹特征,包括:
当所述目标指纹特征模板中的指纹特征与所述待识别指纹中的指纹特征存在差异时,确定出所述待识别指纹的指纹特征中,不属于所述目标指纹特征模板的区别指纹特征。
优选的,所述从所述待识别指纹的指纹特征中,确定出所述目标指纹特征模板不包含的区别指纹特征,包括:
从所述待识别指纹的指纹特征中,分别确定出每个所述目标指纹特征模板不包含的区别指纹特征;
则所述将所述在区别指纹特征添加到所述目标指纹特征模板中,得到更新后的目标指纹特征模板,包括:
将所述目标指纹特征模板对应的区别指纹特征添加到所述目标指纹特征模板中,得到更新后的目标指纹特征模板。
优选的,所述从所述待识别指纹的指纹特征中,确定出所述目标指纹特征模板不包含的区别指纹特征,包括:
从所述待识别指纹的指纹特征中,确定出不属于所述至少一个目标指纹特征模板的区别指纹特征;
则所述将所述在区别指纹特征添加到所述目标指纹特征模板中,得到更新后的目标指纹特征模板,包括:
将所述区别指纹特征添加到所述至少一个目标指纹特征模板中,得到更新后的至少一个目标指纹特征模板。
优选的,在所述从所述待识别指纹的指纹特征中,确定出所述目标指纹特征模板不包含的区别指纹特征的同时,还包括:
对于所述指纹库中不属于所述目标指纹特征模板的任意一个指纹特征模板,分别比对所述指纹特征模板的指纹特征与所述待识别指纹的指纹特征,并将所述待识别指纹的指纹特征中不属于所述指纹特征模板的差异区别特征添加到所述指纹特征模板中。
优选的,还包括:
所述当从所述指纹库的指纹特征模板中未匹配到与所述待识别指纹的匹配度满足要求的目标指纹特征模板时,将所述待识别指纹作为指纹特征模板添加到所述指纹库中。
另一方面,本申请还提供了一种指纹模板更新装置,包括:
指纹检测单元,用于检测当前输入的待识别指纹;
特征提取单元,用于提取所述待识别指纹的指纹特征;
指纹匹配单元,用于基于所述待识别指纹的指纹特征,将所述待识别指纹与预置的指纹库中的指纹特征模板进行匹配;
区别比对单元,用于当从所述指纹库的指纹特征模板中匹配出与所述待识别指纹的匹配度满足要求的至少一个目标指纹特征模板时,从所述待识别指纹的指纹特征中,确定出所述目标指纹特征模板不包含的区别指纹特征;
模板更新单元,用于将所述区别指纹特征添加到所述目标指纹特征模板中,得到更新后的目标指纹特征模板。
优选的,所述装置还包括:
判断单元,用于在所述区别比对单元确定所述区别指纹特征之前,判断所述目标指纹特征模板中的指纹特征与所述待识别指纹中的指纹特征是否完全相同;
则所述区别比对单元,包括:
区别比对子单元,用于当所述判断单元确定出所述目标指纹特征模板中的指纹特征与所述待识别指纹中的指纹特征存在差异时,确定出所述待识别指纹的指纹特征中,不属于所述目标指纹特征模板的区别指纹特征。
优选的,所述区别比对单元,包括:
第一比对单元,用于当从所述指纹库的指纹特征模板中匹配出与所述待识别指纹的匹配度满足要求的至少一个目标指纹特征模板时,从所述待识别指纹的指纹特征中,分别确定出每个所述目标指纹特征模板不包含的区别指纹特征;
则所述模板更新单元,包括:
第一更新单元,用于将所述目标指纹特征模板对应的区别指纹特征添加到所述目标指纹特征模板中,得到更新后的目标指纹特征模板。
优选的,所述区别比对单元,包括:
第二比对单元,用于当从所述指纹库的指纹特征模板中匹配出与所述待识别指纹的匹配度满足要求的至少一个目标指纹特征模板时,从所述待识别指纹的指纹特征中,确定出不属于所述至少一个目标指纹特征模板的区别指纹特征;
则所述模板更新单元,包括:
第二更新单元,用于将所述区别指纹特征添加到所述至少一个目标指纹特征模板中,得到更新后的至少一个目标指纹特征模板。
优选的,还包括:
模板丰富单元,用于在所述区别比对单元确定所述区别指纹特征的同时,对于所述指纹库中不属于所述目标指纹特征模板的任意一个指纹特征模板,分别比对所述指纹特征模板的指纹特征与所述待识别指纹的指纹特征,并将所述待识别指纹的指纹特征中不属于所述指纹特征模板的差异区别特征添加到所述指纹特征模板中。
优选的,还包括:
模板添加单元,用于当所述指纹匹配单元从所述指纹库的指纹特征模板中未匹配到与所述待识别指纹的匹配度满足要求的目标指纹特征模板时,将所述待识别指纹作为指纹特征模板添加到所述指纹库中。
经由上述的技术方案可知,本发明在对用户输入的待识别指纹进行指纹识别的过程中,如果指纹库中存在与该待识别指纹的匹配度满足要求的 目标指纹特征模板,则将待识别指纹中存在而该目标指纹特征模板中不存在的区别指纹特征添加到目标指纹特征模板中,达到了更新指纹库中的指纹特征的目的,也丰富了指纹库中的指纹特征数据,有利于在指纹识别中快速匹配到与待识别指纹的指纹特征匹配的指纹特征模板,也有利于提高指纹识别的成功率。
附图说明
为了更清楚地说明本发明实施例的技术方案,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,下面描述中的附图仅仅是本发明的实施例,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,还可以根据提供的附图获得其他的附图。
图1示出了本发明一种指纹模板更新方法一个实施例的流程示意图;
图2示出了本申请更新后的指纹特征模板的示意图;
图3示出了本申请一种指纹模板更新装置一个实施例的结构示意图。
具体实施方式
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,都属于本发明保护的范围。
参见图1,其示出了本发明一种指纹模板更新方法一个实施例的流程示意图,本实施例的方法可以包括:
101,检测当前输入的待识别指纹。
需要说明的是,本发明的指纹模板更新方法可以应用于任意需要进行指纹识别的设备中,如可以为触摸屏手机、指纹身份验证设备等。用户通过在该指纹识别设备的指纹数据输入区域输入指纹,便可以触发该指纹识别设备进行指纹识别,使得指纹识别设备响应用户的输入操作或者请求身份验证。
可以理解的是,该电子设备检测到用户的指纹输入后,会获取输入的指纹图像,为了便于区分,在本发明实施例中将检测到的待进行指纹识别的指纹图像称为待识别指纹。
102,提取该待识别指纹的指纹特征。
103,基于该待识别指纹的指纹特征,将该待识别指纹与预置的指纹库中的指纹特征模板进行匹配。
其中,指纹特征模板是预先根据指纹图像形成的指纹特征数据。而指纹特征可以包括指纹图像的特征点,如指纹中的端点或交叉点,以及该端点或交叉点的位置、方向等。
对待识别指纹进行指纹特征提取以及特征匹配可以采用现有的任意特征提取与匹配技术,指纹特征提取与匹配的过程与可以与现有实现过程相似,在此不再赘述。
104,当从该指纹库的指纹特征模板中匹配出与该待识别指纹的匹配度满足要求的至少一个目标指纹特征模板时,从该待识别指纹的指纹特征中,确定出该目标指纹特征模板不包含的区别指纹特征。
其中,匹配度所需满足的要求可以根据实际需要设定,如,满足的要求可以为待识别指纹中的指纹特征与目标指纹特征模板中的指纹特征的匹配度超过预设阈值。
105,将该区别指纹特征添加到该目标指纹特征模板中,得到更新后的目标指纹特征模板。
如果匹配出与该待识别指纹的匹配度满足要求的指纹特征模板,则指纹识别设备确定识别出指纹。
虽然该待识别指纹与该目标指纹特征模板匹配,但是二者所包含的指纹特征信息有可能不同,而在该待识别指纹中存在的且不属于该目标指纹特征模板的区别指纹特征却可能是用户指纹中较为重要的一部分特征。为了弥补目标指纹特征模板中指纹特征的缺失,将该部分区别指纹特征添加到该目标指纹特征模板中,以丰富该目标指纹特征模板。
可以理解的是,当指纹库中的指纹特征数据较少时,在指纹识别过程 中可能要将该待识别指纹与指纹库中所有的指纹特征模板进行比对才可以得出识别结果。而应用本发明的方法对指纹库中的指纹特征模板内的指纹特征不断丰富,使得同一个指纹特征模板内的指纹特征数据增多,有利于在比对较少指纹特征模板的情况下,便确定出该待识别指纹是否与指纹库中的指纹特征匹配,有利于提高指纹匹配的速度,降低指纹匹配耗时。
同时,大部分指纹识别设备的使用者一般均为数量有限较为固定的用户,例如,同一台手机,可能只有该手机的持有者或者该持有者的家庭才会使用,而通过本发明的方法,将使用者输入的指纹中不属于指纹库中的指纹特征添加到指纹库的指纹特征模板中后,后续该使用者再次进行指纹输入,则可以很快的从指纹库匹配到匹配度满足要求的指纹特征模板,提高了指纹匹配的速度。
由此可见,本发明实施例实际上是在对用户输入的待识别指纹进行指纹识别的过程中,如果指纹库中存在与该待识别指纹的匹配度满足要求的目标指纹特征模板,则将待识别指纹中存在而该目标指纹特征模板中不存在的区别指纹特征添加到目标指纹特征模板中,达到了更新指纹库中的指纹特征的目的,也丰富了指纹库中的指纹特征数据,有利于提高指纹识别的成功率;也有利于减少指纹识别过程中依次匹配所有指纹特征模板的情况,从而有利于降低指纹识别的耗时。
可以理解的是,为了避免由于输入的指纹模糊、指纹不完整而导致指纹识别无效,在检测到用户输入的待识别指纹后,还可以对通过预设规则检测该待识别指纹是否为合格的指纹图像。其中,预设规则可以根据需要设定,如待识别指纹的清晰度达到预设要求。
在本发明以上实施例中,由于匹配出的目标指纹特征模板可能会有多个,相应的确定区别指纹特征以及向目标指纹特征模板中添加该区别指纹特征也有多种可能。
如,其中一种可能情况为:从待识别指纹的指纹特征中,分别确定出每个目标指纹特征模板不包含的区别指纹特征;然后,对于任意一个目标 指纹特征模板,将该目标指纹特征模板对应的区别指纹特征添加到该目标指纹特征模板中,得到更新后的目标指纹特征模板。该种情况考虑到不同指纹特征模板与待识别指纹的差异会有所不同,而分别基于各个目标指纹特征模板与该待识别指纹的区别指纹特征,对各个目标指纹特征模板进行丰富。基于该种情况在长时间使用该指纹特征模板更新方法后,指纹库中所有的指纹特征模板趋于统一,有利于降低识别比对的复杂度。
又如,另一种可能的情况为:从待识别指纹的指纹特征中,确定出不属于该至少一个目标指纹特征模板的区别指纹特征;然后,将区别指纹特征添加到该至少一个目标指纹特征模板中,得到更新后的至少一个目标指纹特征模板。在该种情况中,确定出的区别指纹特征实际上该待识别指纹中包含而该所有目标指纹特征模板中均不包含的指纹特征。采用该种方法在丰富指纹库中指纹特征的基础上,减少指纹库中存储的数据量。
为了便于理解,下面结合附图2举例进行介绍,图2示出了基于待识别指纹以及目标指纹特征模板得到的更新后的目标指纹特征模板的示意图。为了便于介绍以匹配出一个目标指纹特征模板为例。其中,在该图2中区域21和区域22为目标指纹特征模板,而该区域22和区域23组成了待识别指纹,由图可见,目标指纹特征模板与该待识别指纹中区域22部分的指纹特征匹配,而待识别指纹中区域23的指纹特征则不包含在该目标指纹特征模板中,因此,区域23中的指纹特征为区别指纹特征,从而将该区域23中的区别指纹特征加入到目标指纹特征模板中,从而更新后的目标指纹特征模板包含了区域21、区域22和区域23内的指纹特征。
可以理解的是,在以上任意一个实施例中,在确定出所述目标指纹特征模板不包含的区别指纹特征之前,还可以:判断该目标指纹特征模板中的指纹特征与该待识别指纹中的指纹特征是否完全相同。如果该目标指纹特征模板中包含了该待识别指纹中的所有指纹特征,则无需再对该目标指纹特征模板进行更新。当该目标指纹特征模板中的指纹特征与该待识别指纹中的指纹特征存在差异时,则需要确定出该待识别指纹的指纹特征中,不属于所述目标指纹特征模板的区别指纹特征,并将该区别指纹特征添加 到待识别的指纹特征中。
可以理解的是,在以上任意一个实施例中,在确定待识别指纹与目标指纹特征模板的区别指纹特征的同时,对于指纹库中不属于目标指纹特征模板的任意一个指纹特征模板,还可以分别比对指纹特征模板的指纹特征与待识别指纹的指纹特征,并将待识别指纹的指纹特征中不属于该指纹特征模板的差异指纹特征添加到该指纹特征模板中。也就是说,当识别出该待识别指纹为与指纹库中的指纹特征模板匹配的指纹后,分别确定该待识别指纹与指纹库中各个指纹特征模板之间存在的差异指纹特征,并将指纹特征模板对应的指纹特征添加到指纹特征模板中。得到更新后的目标指纹特征模板。
可以理解的是,当指纹库中的指纹模板中的指纹特征较少时,在进行指纹匹配的过程中,也可能出现匹配不到与该待识别指纹相匹配的指纹特征模板。而该待识别指纹却可能表征了用户手指的一种指纹状态,例如,当指纹库中仅仅包含了用户的中指指纹特征时,当用户利用小拇指进行指纹输入时,则可能会导致指纹识别失败,但是用户的小拇指的指纹特征也是用户的关键指纹特征。因此,为了丰富指纹库中的指纹特征模板,当所述指纹匹配单元从所述指纹库的指纹特征模板中未匹配到与所述待识别指纹的匹配度满足要求的目标指纹特征模板时,将所述待识别指纹作为指纹特征模板添加到所述指纹库中。
对应本发明的一种指纹模板更新方法,本发明还提供了一种指纹模板更新装置。参见图3,其示出了本申请一种指纹模板更新装置一个实施例的结构示意图,本实施例的装置可以包括:
指纹检测单元301,用于检测当前输入的待识别指纹;
特征提取单元302,用于提取所述待识别指纹的指纹特征;
指纹匹配单元303,用于基于所述待识别指纹的指纹特征,将所述待识别指纹与预置的指纹库中的指纹特征模板进行匹配;
区别比对单元303,用于当从所述指纹库的指纹特征模板中匹配出与所述待识别指纹的匹配度满足要求的至少一个目标指纹特征模板时,从所述待识别指纹的指纹特征中,确定出所述目标指纹特征模板不包含的区别指纹特征;
模板更新单元304,用于将所述区别指纹特征添加到所述目标指纹特征模板中,得到更新后的目标指纹特征模板。
本实施例是在对用户输入的待识别指纹进行指纹识别的过程中,如果指纹库中存在与该待识别指纹的匹配度满足要求的目标指纹特征模板,则将待识别指纹中存在而该目标指纹特征模板中不存在的区别指纹特征添加到目标指纹特征模板中,达到了更新指纹库中的指纹特征的目的,也丰富了指纹库中的指纹特征数据,有利于提高指纹识别的成功率;也有利于减少指纹识别过程中依次匹配所有指纹特征模板的情况,从而有利于降低指纹识别的耗时。
可选的,本发明的指纹模板更新装置还可以包括:
判断单元,用于在所述区别比对单元确定所述区别指纹特征之前,判断所述目标指纹特征模板中的指纹特征与所述待识别指纹中的指纹特征是否完全相同;
则,所述区别比对单元,可以包括:
区别比对子单元,用于当所述判断单元确定出所述目标指纹特征模板中的指纹特征与所述待识别指纹中的指纹特征存在差异时,确定出所述待识别指纹的指纹特征中,不属于所述目标指纹特征模板的区别指纹特征。
可选的,在以上任意一个实施例中,基于区别比对单元确定区别指纹特征的一种方式,该区别比对单元,可以包括:
第一比对单元,用于当从所述指纹库的指纹特征模板中匹配出与所述待识别指纹的匹配度满足要求的至少一个目标指纹特征模板时,从所述待识别指纹的指纹特征中,分别确定出每个所述目标指纹特征模板不包含的区别指纹特征;
相应的,模板更新单元,包括:
第一更新单元,用于将所述目标指纹特征模板对应的区别指纹特征添加到所述目标指纹特征模板中,得到更新后的目标指纹特征模板。
可选的,在以上任意一个实施例中,基于区别比对单元确定区别指纹特征的另一种方式,该区别比对单元可以包括:
第二比对单元,用于当从所述指纹库的指纹特征模板中匹配出与所述待识别指纹的匹配度满足要求的至少一个目标指纹特征模板时,从所述待识别指纹的指纹特征中,确定出不属于所述至少一个目标指纹特征模板的区别指纹特征;
则所述模板更新单元,包括:
第二更新单元,用于将所述区别指纹特征添加到所述至少一个目标指纹特征模板中,得到更新后的至少一个目标指纹特征模板。
可选的,在以上任意一个实施例的基础上,该装置还可以包括:
模板丰富单元,用于在所述区别比对单元确定所述区别指纹特征的同时,对于所述指纹库中不属于所述目标指纹特征模板的任意一个指纹特征模板,分别比对所述指纹特征模板的指纹特征与所述待识别指纹的指纹特征,并将所述待识别指纹的指纹特征中不属于所述指纹特征模板的差异区别特征添加到所述指纹特征模板中。
可选的,在以上任意一个实施例中,该装置还可以包括:
模板添加单元,用于当所述指纹匹配单元从所述指纹库的指纹特征模板中未匹配到与所述待识别指纹的匹配度满足要求的目标指纹特征模板时,将所述待识别指纹作为指纹特征模板添加到所述指纹库中。
本说明书中各个实施例采用递进的方式描述,每个实施例重点说明的都是与其他实施例的不同之处,各个实施例之间相同相似部分互相参见即可。对于实施例公开的装置而言,由于其与实施例公开的方法相对应,所 以描述的比较简单,相关之处参见方法部分说明即可。
对所公开的实施例的上述说明,使本领域专业技术人员能够实现或使用本发明。对这些实施例的多种修改对本领域的专业技术人员来说将是显而易见的,本文中所定义的一般原理可以在不脱离本发明的精神或范围的情况下,在其它实施例中实现。因此,本发明将不会被限制于本文所示的这些实施例,而是要符合与本文所公开的原理和新颖特点相一致的最宽的范围。

Claims (12)

  1. 一种指纹模板更新方法,其特征在于,包括:
    检测当前输入的待识别指纹;
    提取所述待识别指纹的指纹特征;
    基于所述待识别指纹的指纹特征,将所述待识别指纹与预置的指纹库中的指纹特征模板进行匹配;
    当从所述指纹库的指纹特征模板中匹配出与所述待识别指纹的匹配度满足要求的至少一个目标指纹特征模板时,从所述待识别指纹的指纹特征中,确定出所述目标指纹特征模板不包含的区别指纹特征;
    将所述区别指纹特征添加到所述目标指纹特征模板中,得到更新后的目标指纹特征模板。
  2. 根据权利要求1所述的方法,其特征在于,在所述确定出所述目标指纹特征模板不包含的区别指纹特征之前,还包括:
    判断所述目标指纹特征模板中的指纹特征与所述待识别指纹中的指纹特征是否完全相同;
    则所述从所述待识别指纹的指纹特征中,确定出所述目标指纹特征模板不包含的区别指纹特征,包括:
    当所述目标指纹特征模板中的指纹特征与所述待识别指纹中的指纹特征存在差异时,确定出所述待识别指纹的指纹特征中,不属于所述目标指纹特征模板的区别指纹特征。
  3. 根据权利要求1所述的方法,其特征在于,所述从所述待识别指纹的指纹特征中,确定出所述目标指纹特征模板不包含的区别指纹特征,包括:
    从所述待识别指纹的指纹特征中,分别确定出每个所述目标指纹特征模板不包含的区别指纹特征;
    则所述将所述在区别指纹特征添加到所述目标指纹特征模板中,得到更新后的目标指纹特征模板,包括:
    将所述目标指纹特征模板对应的区别指纹特征添加到所述目标指纹特征模板中,得到更新后的目标指纹特征模板。
  4. 根据权利要求1所述的方法,其特征在于,所述从所述待识别指纹的指纹特征中,确定出所述目标指纹特征模板不包含的区别指纹特征,包括:
    从所述待识别指纹的指纹特征中,确定出不属于所述至少一个目标指纹特征模板的区别指纹特征;
    则所述将所述在区别指纹特征添加到所述目标指纹特征模板中,得到更新后的目标指纹特征模板,包括:
    将所述区别指纹特征添加到所述至少一个目标指纹特征模板中,得到更新后的至少一个目标指纹特征模板。
  5. 根据权利要求1所述的方法,其特征在于,在所述从所述待识别指纹的指纹特征中,确定出所述目标指纹特征模板不包含的区别指纹特征的同时,还包括:
    对于所述指纹库中不属于所述目标指纹特征模板的任意一个指纹特征模板,分别比对所述指纹特征模板的指纹特征与所述待识别指纹的指纹特征,并将所述待识别指纹的指纹特征中不属于所述指纹特征模板的差异区别特征添加到所述指纹特征模板中。
  6. 根据权利要求1所述的方法,其特征在于,还包括:
    所述当从所述指纹库的指纹特征模板中未匹配到与所述待识别指纹的匹配度满足要求的目标指纹特征模板时,将所述待识别指纹作为指纹特征模板添加到所述指纹库中。
  7. 一种指纹模板更新装置,其特征在于,包括:
    指纹检测单元,用于检测当前输入的待识别指纹;
    特征提取单元,用于提取所述待识别指纹的指纹特征;
    指纹匹配单元,用于基于所述待识别指纹的指纹特征,将所述待识别指纹与预置的指纹库中的指纹特征模板进行匹配;
    区别比对单元,用于当从所述指纹库的指纹特征模板中匹配出与所述待识别指纹的匹配度满足要求的至少一个目标指纹特征模板时,从所述待识别指纹的指纹特征中,确定出所述目标指纹特征模板不包含的区别指纹特征;
    模板更新单元,用于将所述区别指纹特征添加到所述目标指纹特征模板中,得到更新后的目标指纹特征模板。
  8. 根据权利要求7所述的装置,其特征在于,还包括:
    判断单元,用于在所述区别比对单元确定所述区别指纹特征之前,判断所述目标指纹特征模板中的指纹特征与所述待识别指纹中的指纹特征是否完全相同;
    则所述区别比对单元,包括:
    区别比对子单元,用于当所述判断单元确定出所述目标指纹特征模板中的指纹特征与所述待识别指纹中的指纹特征存在差异时,确定出所述待识别指纹的指纹特征中,不属于所述目标指纹特征模板的区别指纹特征。
  9. 根据权利要求7所述的装置,其特征在于,所述区别比对单元,包括:
    第一比对单元,用于当从所述指纹库的指纹特征模板中匹配出与所述待识别指纹的匹配度满足要求的至少一个目标指纹特征模板时,从所述待识别指纹的指纹特征中,分别确定出每个所述目标指纹特征模板不包含的区别指纹特征;
    则所述模板更新单元,包括:
    第一更新单元,用于将所述目标指纹特征模板对应的区别指纹特征添加到所述目标指纹特征模板中,得到更新后的目标指纹特征模板。
  10. 根据权利要求7所述的装置,其特征在于,所述区别比对单元,包括:
    第二比对单元,用于当从所述指纹库的指纹特征模板中匹配出与所述待识别指纹的匹配度满足要求的至少一个目标指纹特征模板时,从所述待识别指纹的指纹特征中,确定出不属于所述至少一个目标指纹特征模板的区别指纹特征;
    则所述模板更新单元,包括:
    第二更新单元,用于将所述区别指纹特征添加到所述至少一个目标指纹特征模板中,得到更新后的至少一个目标指纹特征模板。
  11. 根据权利要求7所述的装置,其特征在于,还包括:
    模板丰富单元,用于在所述区别比对单元确定所述区别指纹特征的同时,对于所述指纹库中不属于所述目标指纹特征模板的任意一个指纹特征模板,分别比对所述指纹特征模板的指纹特征与所述待识别指纹的指纹特征,并将所述待识别指纹的指纹特征中不属于所述指纹特征模板的差异区别特征添加到所述指纹特征模板中。
  12. 根据权利要求7所述的装置,其特征在于,还包括:
    模板添加单元,用于当所述指纹匹配单元从所述指纹库的指纹特征模板中未匹配到与所述待识别指纹的匹配度满足要求的目标指纹特征模板时,将所述待识别指纹作为指纹特征模板添加到所述指纹库中。
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CN101620677A (zh) * 2009-03-11 2010-01-06 刘鸣宇 一种基于三角剖分与lod技术的指纹识别方法
CN102693420A (zh) * 2012-05-25 2012-09-26 深圳市亚略特生物识别科技有限公司 一种指纹模板自动更新的方法

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CN101620677A (zh) * 2009-03-11 2010-01-06 刘鸣宇 一种基于三角剖分与lod技术的指纹识别方法
CN102693420A (zh) * 2012-05-25 2012-09-26 深圳市亚略特生物识别科技有限公司 一种指纹模板自动更新的方法

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