WO2017080311A1 - 指纹模板完善方法、装置和终端设备 - Google Patents
指纹模板完善方法、装置和终端设备 Download PDFInfo
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- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
- G06V10/751—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
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- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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Definitions
- the present invention relates to the field of fingerprint identification technologies, and in particular, to a fingerprint template perfecting method, device and terminal device.
- fingerprint recognition technology With the development of fingerprint recognition technology, more and more terminal devices integrate fingerprint recognition functions, and the processing efficiency and security of the corresponding operations are improved by the fingerprint recognition technology, for example, the unlock operation of the mobile terminal, the payment operation of the mobile payment device, The control operation of the access control system, the punching operation of the attendance equipment, and the like.
- the quality of the registered fingerprint template determines the recognition performance of the user during use.
- the size of the fingerprint module is getting smaller and smaller, and the fingerprint image area in the fingerprint template of the fingerprint registration is too small, thereby reducing the recognition rate in the use phase is low. That is, the mismatch rate will be high.
- the user is required to perform multiple input to increase the fingerprint image area in the fingerprint template, but for inexperienced users, even if the number of entries is sufficient, the quality of the fingerprint template entered is still not high.
- the present application aims to solve at least one of the technical problems in the related art to some extent.
- the first object of the present application is to provide a fingerprint template perfecting method, which realizes continuous improvement of the initially registered fingerprint template in the fingerprint identification process, improves the fingerprint identification matching rate, and breaks through the fingerprint template.
- the fixability and limitations improve the overall performance of the registration and identification phases of the fingerprinting system.
- a second object of the present application is to provide a fingerprint template perfecting device.
- a third object of the present application is to propose a terminal device.
- a fourth object of the present application is to propose a terminal device.
- a fifth object of the present application is to propose a non-volatile computer storage medium.
- the first aspect of the present application provides a fingerprint template improvement method, including: extracting first feature information of an input fingerprint image according to a preset fingerprint feature type; and according to the registered fingerprint template Determining, by the second feature information corresponding to the fingerprint feature type, a matching degree between the first feature information and the second feature information; determining whether the matching degree is greater than or equal to a preset compensation threshold; if the matching degree is greater than or equal to And the compensation threshold is obtained by acquiring a compensation image other than the fingerprint template intersection from the fingerprint image, and adding the compensation image to the fingerprint template.
- the second embodiment of the present application provides a fingerprint template perfecting apparatus, including: an extracting module, configured to extract first feature information of an input fingerprint image according to a preset fingerprint feature type; and a matching module, configured to be used according to the registration a second feature information corresponding to the fingerprint feature type in the fingerprint template, determining a matching degree between the first feature information and the second feature information; and a first determining module, configured to determine whether the matching degree is greater than or equal to a compensation threshold; the first processing module is configured to: if the matching degree is greater than or equal to the compensation threshold, acquire a compensation image other than the intersection of the fingerprint template from the fingerprint image, and use the compensation image Add to the fingerprint template.
- the third aspect of the present application provides a terminal device, including: the fingerprint template perfecting device as described above.
- the fourth aspect of the present application provides a terminal device, including: a housing, a processor, a memory, a circuit board, and a power supply circuit, wherein the circuit board is disposed inside a space enclosed by the housing, a processor and the memory disposed on the circuit board; the power circuit for powering respective circuits or devices of the mobile terminal; the memory for storing executable program code; the processor reading by Executing program code stored in the memory to execute a program corresponding to the executable program code for performing the following steps:
- the matching degree is greater than or equal to the compensation threshold, acquiring a compensation image other than the intersection of the fingerprint template from the fingerprint image, and adding the compensation image to the fingerprint template.
- a fifth aspect of the present application 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 The fingerprint template refining method of the first aspect of the present application is performed.
- the present invention implements the continuous improvement of the initially registered fingerprint template in the fingerprint identification process, improves the fingerprint identification matching rate, and breaks through the fixability and limitation of the fingerprint template, and improves the registration phase and the identification phase in the fingerprint identification system. Overall performance.
- FIG. 1 is a flowchart of a method for improving a fingerprint template according to an embodiment of the present application
- FIG. 2 is a flowchart of a method for perfecting a fingerprint template according to another embodiment of the present application
- FIG. 3 is a schematic diagram of a fingerprint identification and template perfecting process.
- FIG. 4 is a schematic structural diagram of a fingerprint template perfecting apparatus according to an embodiment of the present application.
- FIG. 5 is a schematic structural diagram of a fingerprint template perfecting apparatus according to another embodiment of the present application.
- FIG. 6 is a schematic structural diagram of a terminal device according to an embodiment of the present application.
- FIG. 1 is a flowchart of a method for perfecting a fingerprint template according to an embodiment of the present application.
- the fingerprint template improvement method includes:
- Step 101 Extract, according to a preset fingerprint feature type, first feature information of the entered fingerprint image.
- the fingerprint template improvement method provided in this embodiment is configured in a terminal device having a fingerprint identification function as an example for specific description. It should be noted that there are many types of terminal devices, which can be selected according to application needs, such as: mobile phones, attendance machines, payment devices, or access control devices.
- the first feature information of the entered fingerprint image is extracted according to the preset fingerprint feature type.
- the fingerprint feature type is an index for comparing the similarity between the entered fingerprint image and the registered fingerprint template, and then identifying the entered fingerprint image according to the comparison result.
- fingerprint feature type can be performed according to specific needs. Settings. An example is as follows:
- the fingerprint feature type may be a fingerprint feature point, wherein the fingerprint feature point includes one or more combinations of a bifurcation point, a termination point, a center point, and a triangle point, and the type of the fingerprint feature point may be specifically selected according to an application scenario.
- the fingerprint feature type may be a fingerprint feature point and a combination of direction information for indicating a fingerprint feature point relationship.
- Step 102 Determine a matching degree between the first feature information and the second feature information according to the second feature information corresponding to the fingerprint feature type in the registered fingerprint template.
- the fingerprint template is pre-registered, and the second template information corresponding to the preset fingerprint feature type is stored in the fingerprint template. Since the extracted fingerprint feature information is different after the different fingerprint images are processed according to the preset fingerprint feature type, the fingerprint feature information can identify whether the entered fingerprint image is a registered fingerprint template.
- the preset fingerprint feature types are a bifurcation point, a termination point, a center point, and a triangle point
- the second feature information is a bifurcation point, a termination point, a center point, and a triangle point in the registered fingerprint template
- the first feature information is a bifurcation point, an end point, a center point, and a triangle point in the fingerprint image entered; determining the two according to the same number of bifurcation points, end points, center points, and triangle points in the second feature information The degree of matching between.
- Step 103 Determine whether the matching degree is greater than or equal to a preset compensation threshold.
- the accuracy of the fingerprint recognition is determined in advance according to the specific application scenario, and the compensation threshold for perfecting the information in the fingerprint template is set. It should be emphasized that the compensation threshold is greater than the identification threshold, wherein the identification threshold is used to judge whether the matching degree between the entered fingerprint image and the registered fingerprint template reaches a preset recognition threshold, if the matching degree between the two is greater than If it is equal to the preset recognition threshold, the recognition is passed, and if the matching degree between the two is less than the preset recognition threshold, the recognition fails.
- determining whether a matching degree between the first feature information of the entered fingerprint image and the second feature information of the registered fingerprint template is greater than or equal to a preset compensation threshold If it is judged that the matching degree between the two is greater than or equal to the preset compensation threshold, the quality of the fingerprint image currently recorded is high, not only through fingerprint recognition, but also the information of the fingerprint template according to the currently input fingerprint image. Perfect; if it is judged that the matching degree between the two is less than the preset compensation threshold, it indicates that the quality of the currently input fingerprint image does not reach the perfect image quality of the fingerprint template, and only judges whether the quality of the currently input fingerprint image reaches the recognition. Threshold to determine whether to identify by fingerprint.
- Step 104 If the matching degree is greater than or equal to the compensation threshold, obtain a compensation image other than the intersection of the fingerprint template from the fingerprint image, and add the compensation image to the fingerprint template.
- the quality of the currently input fingerprint image is high, and The fingerprint image entered before is perfected for the information of the fingerprint template.
- the fingerprint image and the fingerprint template are compared, and a compensation image other than the intersection of the two is obtained from the fingerprint image, and the compensation image is added to the fingerprint template. Therefore, the fingerprint template adds image information that was not available at the time of registration, and more feature points or other feature information can be determined according to the newly added image information, and the previously registered feature information and the newly added feature information can be more effectively followed.
- the fingerprint image entered is identified.
- a compensation image other than the intersection of the fingerprint image and the fingerprint template is added to the fingerprint template, and then various feature information required according to the compensation image is determined in the fingerprint template, in order to improve more information. It is also possible to include the following steps in another embodiment:
- the specific refinement process further includes: comparing the first feature information with the second feature information, acquiring compensation feature information other than the intersection of the two feature information, and adding the compensation feature information Go to the fingerprint template. Therefore, the fingerprint template adds the feature information that was not available at the time of registration, and the previously registered feature information and the newly added feature information can more effectively identify the fingerprint image that is subsequently entered.
- the fingerprint template perfecting method of the embodiment of the present application first extracts the first feature information of the entered fingerprint image according to the preset fingerprint feature type; and then determines the second feature information according to the fingerprint feature type in the registered fingerprint template. a matching degree between the feature information and the second feature information; determining whether the matching degree is greater than or equal to a preset compensation threshold; if the matching degree is greater than or equal to the compensation threshold, acquiring a compensation image other than the fingerprint template intersection from the fingerprint image, and The compensation image is added to the fingerprint template.
- the fingerprint template of the initial registration is continuously improved in the fingerprint identification process, the fingerprint recognition matching rate is improved, and the fixation and limitation of the fingerprint template are broken, and the registration phase and the recognition phase in the fingerprint recognition system are improved. Overall performance.
- FIG. 2 is a flow chart of a method for perfecting a fingerprint template according to another embodiment of the present application.
- FIG. 3 is a schematic diagram of a fingerprint identification and template perfecting process.
- the method for improving the fingerprint template includes:
- Step 201 Extract, according to a preset fingerprint feature type, first feature information of the entered fingerprint image.
- Step 202 Determine a matching degree between the first feature information and the second feature information according to the second feature information corresponding to the fingerprint feature type in the registered fingerprint template.
- step 201 and step 202 in this embodiment For the specific implementation process of step 201 and step 202 in this embodiment, refer to step 101 and step 102 in the embodiment shown in FIG. 1 , and details are not described herein again.
- Step 203 Determine whether the matching degree is greater than or equal to a preset identification threshold, where the identification threshold is less than the compensation threshold.
- the pre-set identification threshold is used to judge whether the matching degree between the entered fingerprint image and the registered fingerprint template reaches the recognition threshold. If the matching degree between the two is greater than or equal to the preset recognition threshold, the identification is passed, and the step is performed. 205. If the matching degree between the two is less than the preset identification threshold, the identification fails, and step 204 is performed.
- Step 204 If the matching degree is less than the identification threshold, prompting the user that the fingerprint entry identification fails.
- Step 205 If the matching degree is greater than or equal to the recognition threshold, the identification is passed, and the corresponding event is responded according to the preset instruction.
- the matching degree is greater than or equal to the identification threshold
- the corresponding event is responded according to the preset instruction
- the event corresponding to the preset command response is different due to different application scenarios, as illustrated in the following example:
- the terminal device screen is unlocked according to the unlocking instruction; or, the attendance record is performed according to the punching instruction, or the door is opened according to the unlocking instruction, or the mobile payment is performed according to the payment instruction.
- Step 206 Determine whether the matching degree is greater than or equal to a preset compensation threshold.
- Step 207 If the matching degree is greater than or equal to the compensation threshold, acquiring a compensation image other than the intersection of the fingerprint template from the fingerprint image, and acquiring compensation feature information other than the intersection of the second feature information from the first feature information, and The compensation image and compensation feature information are added to the fingerprint template.
- step 206 and step 207 in this embodiment refer to step 103 and step 104 in the embodiment shown in FIG. 1 , and details are not described herein again.
- the fingerprint template perfecting method of the embodiment of the present application first extracts the first feature information of the entered fingerprint image according to the preset fingerprint feature type; and then determines the second feature information according to the fingerprint feature type in the registered fingerprint template. a matching degree between the feature information and the second feature information; determining whether the matching degree is greater than or equal to a preset recognition threshold; if not, the recognition fails, and if yes, responding to the corresponding event according to the preset instruction, and then determining whether the matching degree is greater than It is equal to the preset compensation threshold; if the matching degree is greater than or equal to the compensation threshold, the compensation image other than the intersection of the fingerprint template is acquired from the fingerprint image, and the compensation image is added to the fingerprint template.
- the fingerprint template of the initial registration is continuously improved in the fingerprint identification process, the fingerprint recognition matching rate is improved, and the fixation and limitation of the fingerprint template are broken, and the registration phase and the recognition phase in the fingerprint recognition system are improved. Overall performance.
- the present application also proposes a fingerprint template perfecting device.
- FIG. 4 is a schematic structural diagram of a fingerprint template perfecting apparatus according to an embodiment of the present application.
- the fingerprint template perfecting apparatus includes:
- the extracting module 11 is configured to extract, according to a preset fingerprint feature type, first feature information of the entered fingerprint image
- fingerprint feature types are set in advance, the higher the recognition accuracy of the fingerprint image is. Because the recognition accuracy of the fingerprint image is different in different application scenarios, the fingerprint may be specially selected according to specific needs. Set the type of sign. An example is as follows:
- the fingerprint feature type may be a fingerprint feature point, wherein the fingerprint feature point includes one or more combinations of a bifurcation point, a termination point, a center point, and a triangle point, and the type of the fingerprint feature point may be specifically selected according to an application scenario.
- the fingerprint feature type may be a fingerprint feature point and a combination of direction information for indicating a fingerprint feature point relationship.
- the matching module 12 is configured to determine, according to the second feature information corresponding to the fingerprint feature type in the registered fingerprint template, a matching degree between the first feature information and the second feature information;
- the first determining module 13 is configured to determine whether the matching degree is greater than or equal to a preset compensation threshold
- the first processing module 14 is configured to: if the matching degree is greater than or equal to the compensation threshold, acquire a compensation image other than the fingerprint template intersection from the fingerprint image, and add the compensation image to the fingerprint template.
- the first processing module 14 is further configured to acquire, from the first feature information, compensation feature information other than the intersection of the second feature information, and add the compensation feature information to the fingerprint template.
- the fingerprint template perfecting device of the embodiment of the present application first extracts the first feature information of the entered fingerprint image according to the preset fingerprint feature type; and then determines the second feature information according to the fingerprint feature type in the registered fingerprint template. a matching degree between the feature information and the second feature information; determining whether the matching degree is greater than or equal to a preset compensation threshold; if the matching degree is greater than or equal to the compensation threshold, acquiring a compensation image other than the fingerprint template intersection from the fingerprint image, and The compensation image is added to the fingerprint template.
- the fingerprint template of the initial registration is continuously improved in the fingerprint identification process, the fingerprint recognition matching rate is improved, and the fixation and limitation of the fingerprint template are broken, and the registration phase and the recognition phase in the fingerprint recognition system are improved. Overall performance.
- FIG. 5 is a schematic structural diagram of a fingerprint template perfecting apparatus according to another embodiment of the present application.
- the fingerprint template perfecting apparatus further includes:
- the second determining module 15 is configured to determine whether the matching degree is greater than or equal to a preset identification threshold, where the identification threshold is less than the compensation threshold;
- the second processing module 16 is configured to respond to the corresponding event according to the preset instruction if the matching degree is greater than or equal to the recognition threshold.
- the event corresponding to the preset command response is different according to different application scenarios.
- the second processing module 16 is specifically configured to:
- Mobile payment is made according to the payment instruction.
- the second processing module 16 is further configured to prompt the user that the fingerprint entry identification fails if the matching degree is less than the recognition threshold.
- the fingerprint template perfecting device of the embodiment of the present application first extracts the first feature information of the entered fingerprint image according to the preset fingerprint feature type; and then determines the second feature information according to the fingerprint feature type in the registered fingerprint template. a matching degree between the feature information and the second feature information; determining whether the matching degree is greater than or equal to a preset recognition threshold; if not, the recognition fails, and if yes, responding to the corresponding event according to the preset instruction, and then determining whether the matching degree is greater than It is equal to the preset compensation threshold; if the matching degree is greater than or equal to the compensation threshold, the compensation image other than the intersection of the fingerprint template is acquired from the fingerprint image, and the compensation image is added to the fingerprint template.
- the fingerprint template of the initial registration is continuously improved in the fingerprint identification process, the fingerprint recognition matching rate is improved, and the fixation and limitation of the fingerprint template are broken, and the registration phase and the recognition phase in the fingerprint recognition system are improved. Overall performance.
- the present application also proposes a terminal device.
- the terminal device includes: a device body, and a fingerprint template perfecting device provided by the foregoing embodiment of the present invention.
- the terminal device has many types, and may include, for example, a mobile phone, an attendance machine, a payment device, or an access control device.
- the terminal device in the embodiment of the present application first extracts the first feature information of the entered fingerprint image according to the preset fingerprint feature type by using the fingerprint template perfecting device; and then, according to the second feature information corresponding to the fingerprint feature type in the registered fingerprint template, And determining a matching degree between the first feature information and the second feature information; determining whether the matching degree is greater than or equal to a preset compensation threshold; if the matching degree is greater than or equal to the compensation threshold, acquiring a compensation image other than the fingerprint template intersection from the fingerprint image And add the compensation image to the fingerprint template.
- the present application also proposes a terminal device.
- FIG. 6 is a schematic structural diagram of a terminal device according to an embodiment of the present application.
- the terminal device 60 provided in this embodiment includes a housing 601, a processor 602, a memory 603, a circuit board 604, and a power circuit 605.
- the circuit board 604 is disposed inside the space enclosed by the housing 601.
- the processor 602 and the memory 603 are disposed on the circuit board 604;
- the power supply circuit 605 is configured to supply power to the respective circuits or devices of the mobile terminal;
- the memory 603 is configured to store executable program code;
- the processor 602 reads the memory stored in the memory 603 by reading Execute the program code to run the program corresponding to the executable program code for performing the following steps:
- the compensation image other than the intersection of the fingerprint template is acquired from the fingerprint image, and the compensation image is added to the fingerprint template.
- the terminal device of the embodiment of the present application reads a program corresponding to the executable program code by using a processor to read executable program code stored in the memory, and is configured to perform the following steps: extracting according to a preset fingerprint feature type The first feature information of the entered fingerprint image; determining the matching degree between the first feature information and the second feature information according to the second feature information corresponding to the fingerprint feature type in the registered fingerprint template; determining whether the matching degree is greater than or equal to the preset The compensation threshold is obtained. If the matching degree is greater than or equal to the compensation threshold, the compensation image other than the intersection of the fingerprint template is acquired from the fingerprint image, and the compensation image is added to the fingerprint template. Thereby, the fingerprint template of the initial registration is continuously improved in the fingerprint identification process, the fingerprint recognition matching rate is improved, and the fixation and limitation of the fingerprint template are broken, and the registration phase and the recognition phase in the fingerprint recognition system are improved. Overall performance.
- the present application further provides a non-volatile computer storage medium storing one or more programs, when one or more programs are executed by one device, causing the device to perform the application.
- a fingerprint template improvement method of an embodiment is a non-volatile computer storage medium storing one or more programs, when one or more programs are executed by one device, causing the device to perform the application.
- 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
本申请提出一种指纹模板完善方法、装置及终端设备，其中，该方法包括：根据预设的指纹特征类型，提取录入的指纹图像的第一特征信息；根据注册的指纹模板中与所述指纹特征类型对应的第二特征信息，确定所述第一特征信息与所述第二特征信息的匹配度；判断所述匹配度是否大于等于预设的补偿阈值；若所述匹配度大于等于所述补偿阈值，则从所述指纹图像中获取与所述指纹模板交集之外的补偿图像，并将所述补偿图像添加到所述指纹模板中。实现了在指纹识别过程中对初始注册的指纹模板进行不断完善，提高了指纹识别匹配率，提高了指纹识别系统中注册阶段和识别阶段的整体性能。
Description
相关申请的交叉引用
本申请要求广东欧珀移动通信有限公司于2015年11月13日提交的、发明名称为“指纹模板完善方法、装置和终端设备”的、中国专利申请号“201510784165.7”的优先权。
本申请涉及指纹识别技术领域，尤其涉及一种指纹模板完善方法、装置和终端设备。
随着指纹识别技术的发展，越来越多的终端设备集成指纹识别功能，通过指纹识别技术提高了相应操作的处理效率和安全性，例如：移动终端的解锁操作，移动支付设备的支付操作、门禁系统的控制操作、考勤设备的打卡操作等。
在指纹识别过程中，注册的指纹模板质量决定了用户使用过程中的识别性能。然而，为了满足具有指纹识别功能的终端设备的外观要求，指纹模组的体积越来越小，导致指纹注册的指纹模板中的指纹图像面积过小，从而降低了使用阶段的识别率很低，即不匹配率会很高。
目前，要求用户注册时进行多次输入以提高指纹模板中的指纹图像面积，但是对于没经验的用户，即使录入次数够多，录入的指纹模板质量仍然不高。
发明内容
本申请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，本申请的第一个目的在于提出一种指纹模板完善方法，该方法实现了在指纹识别过程中对初始注册的指纹模板进行不断完善，提高了指纹识别匹配率，并且突破了指纹模板的固定性和局限性，提高了指纹识别系统中注册阶段和识别阶段的整体性能。
本申请的第二个目的在于提出一种指纹模板完善装置。
本申请的第三个目的在于提出一种终端设备。
本申请的第四个目的在于提出一种终端设备。
本申请的第五个目的在于提出一种非易失性计算机存储介质。
为达上述目的，本申请第一方面实施例提出了一种指纹模板完善方法，包括：根据预设的指纹特征类型，提取录入的指纹图像的第一特征信息；根据注册的指纹模板中与所述指纹特征类型对应的第二特征信息，确定所述第一特征信息与所述第二特征信息的匹配度；判断所述匹配度是否大于等于预设的补偿阈值；若所述匹配度大于等于所述补偿阈值，则从所述指纹图像中获取与所述指纹模板交集之外的补偿图像，并将所述补偿图像添加到所述指纹模板中。
本申请第二方面实施例提出了一种指纹模板完善装置，包括：提取模块，用于根据预设的指纹特征类型，提取录入的指纹图像的第一特征信息；匹配模块，用于根据注册的指纹模板中与所述指纹特征类型对应的第二特征信息，确定所述第一特征信息与所述第二特征信息的匹配度；第一判断模块，用于判断所述匹配度是否大于等于预设的补偿阈值；第一处理模块，用于若所述匹配度大于等于所述补偿阈值，则从所述指纹图像中获取与所述指纹模板交集之外的补偿图像，并将所述补偿图像添加到所述指纹模板中。
本申请第三方面实施例提出了一种终端设备，包括：如上所述的指纹模板完善装置。
本申请第四方面实施例提出了一种终端设备，包括：壳体、处理器、存储器、电路板和电源电路，其中，所述电路板安置在所述壳体围成的空间内部，所述处理器和所述存储器设置在所述电路板上；所述电源电路，用于为所述移动终端的各个电路或器件供电；所述存储器用于存储可执行程序代码；所述处理器通过读取所述存储器中存储的可执行程序代码来运行与所述可执行程序代码对应的程序，以用于执行以下步骤：
根据预设的指纹特征类型，提取录入的指纹图像的第一特征信息；
根据注册的指纹模板中与所述指纹特征类型对应的第二特征信息，确定所述第一特征信息与所述第二特征信息的匹配度；
判断所述匹配度是否大于等于预设的补偿阈值；
若所述匹配度大于等于所述补偿阈值，则从所述指纹图像中获取与所述指纹模板交集之外的补偿图像，并将所述补偿图像添加到所述指纹模板中。
本申请第五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申请第一方面实施例的指纹模板完善方法。
本申请实现了在指纹识别过程中对初始注册的指纹模板进行不断完善，提高了指纹识别匹配率，并且突破了指纹模板的固定性和局限性，提高了指纹识别系统中注册阶段和识别阶段的整体性能。
本发明上述的和/或附加的方面和优点从下面结合附图对实施例的描述中将变得明显和容易理解，其中：
图1是本申请一个实施例的指纹模板完善方法的流程图；
图2是本申请另一个实施例的指纹模板完善方法的流程图；
图3是指纹识别及模板完善过程的示意图。
图4是本申请一个实施例的指纹模板完善装置的结构示意图；
图5是本申请另一个实施例的指纹模板完善装置的结构示意图；
图6是本申请一个实施例的终端设备的结构示意图。
下面详细描述本申请的实施例，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，旨在用于解释本申请，而不能理解为对本申请的限制。
下面参考附图描述本申请实施例的指纹模板完善方法、装置和终端设备。
图1是本申请一个实施例的指纹模板完善方法的流程图。
如图1所示，该指纹模板完善方法包括：
步骤101，根据预设的指纹特征类型，提取录入的指纹图像的第一特征信息。
具体地，本实施例提供的指纹模板完善方法被配置在具有指纹识别功能的终端设备中为例进行具体说明。需要注意的是，终端设备的类型很多，可以根据应用需要进行选择，例如：手机、考勤机、支付设备、或，门禁控制设备等。
首先，当用户进行指纹录入时，采集每次录入的指纹图像后，根据预设的指纹特征类型，提取录入的指纹图像的第一特征信息。其中，指纹特征类型是用于比对录入的指纹图像与注册的指纹模板相似度的指标，进而根据比对结果以对录入的指纹图像进行识别。
需要说明的是，预先设置的指纹特征类型的种类越多，对指纹图像的识别精度越高，由于不同应用场景下对指纹图像的识别精度要求不同，因此，可以根据具体需要对指纹特征类型进行设置。举例说明如下：
指纹特征类型可以为指纹特征点，其中，指纹特征点包括：分叉点、终止点、中心点、三角点中的一种或多种组合，可以根据应用场景需要具体选择指纹特征点的类型。或者，指纹特征类型可以为指纹特征点，以及用于表明指纹特征点关系的方向信息的组合。
步骤102，根据注册的指纹模板中与指纹特征类型对应的第二特征信息，确定第一特征信息与第二特征信息的匹配度。
具体地，在用户录入指纹之前，预先注册了指纹模板，指纹模板中存储有与预先设置的指纹特征类型对应的第二特征信息。由于根据预设的指纹特征类型对不同的指纹图像进行处理后，提取的指纹特征信息不同，因此，通过指纹特征信息可以识别录入的指纹图像是否为注册的指纹模板。
首先，将注册的指纹模板的第二特征信息和提取的第一特征信息进行比较，确定第一特征信息和第二特征信息之间的匹配度。第一特征信息和第二特征信息之间相同的特征信息越多，两者之间的匹配度越高，从而将录入的指纹图像识别为注册的指纹模板，即识别通过的机率越大。举例说明如下：
假设预设的指纹特征类型为分叉点、终止点、中心点和三角点，第二特征信息为注册的指纹模板中的分叉点、终止点、中心点和三角点；第一特征信息为录入的指纹图像中的分叉点、终止点、中心点和三角点；根据第一特征信息与第二特征信息中的分叉点、终止点、中心点和三角点的相同数量确定两者之间的匹配度。
步骤103，判断匹配度是否大于等于预设的补偿阈值。
预先根据具体的应用场景对指纹识别的精度要求，设置对指纹模板中的信息进行完善的补偿阈值。需要强调的是，补偿阈值大于识别阈值，其中，识别阈值是用于评判录入的指纹图像与注册的指纹模板之间的匹配度是否达到预设的识别阈值，如果两者之间的匹配度大于等于预设的识别阈值，则识别通过，如果两者之间的匹配度小于预设的识别阈值，则识别不通过。
判断录入的指纹图像的第一特征信息与注册的指纹模板的第二特征信息之间的匹配度是否大于等于预设的补偿阈值。如果判断获知两者之间的匹配度大于等于预设的补偿阈值，则说明当前录入的指纹图像质量很高，不仅仅通过了指纹识别，而且可以根据当前录入的指纹图像对指纹模板的信息进行完善；如果判断获知两者之间的匹配度小于预设的补偿阈值，则说明当前录入的指纹图像质量没有达到对指纹模板进行完善的图像质量，就仅仅判断当前录入的指纹图像质量是否达到识别阈值，以确定是否通过指纹识别即可。
步骤104，若匹配度大于等于补偿阈值，则从指纹图像中获取与指纹模板交集之外的补偿图像，并将补偿图像添加到指纹模板中。
具体地，如果判断获知录入的指纹图像的第一特征信息与注册的指纹模板的第二特征信息之间的匹配度大于等于补偿阈值，则说明当前录入的指纹图像质量很高，可以根据当
前录入的指纹图像对指纹模板的信息进行完善。
比较指纹图像与指纹模板，从指纹图像中获取两者交集之外的补偿图像，并将该补偿图像添加到指纹模板中。从而指纹模板增加了当时注册时候没有的图像信息，根据新加入的图像信息可以确定更多的特征点或者其他的特征信息，利用之前注册的特征信息和新增加的特征信息可以更加有效的对后续录入的指纹图像进行识别。
需要说明的是，本实施例中是将指纹图像与指纹模板交集之外的补偿图像添加到指纹模板中，进而在指纹模板中根据补偿图像确定需要的各种特征信息，为了完善更多的信息，还可以在另一个实施例中包括如下步骤：
在另一个实施例中，具体的完善过程还包括：将第一特征信息与第二特征信息进行比较，从第一特征信息中获取两者交集之外的补偿特征信息，并将补偿特征信息添加到指纹模板中。从而指纹模板增加了当时注册时候没有的特征信息，利用之前注册的特征信息和新增加的特征信息可以更加有效的对后续录入的指纹图像进行识别。
本申请实施例的指纹模板完善方法，首先根据预设的指纹特征类型，提取录入的指纹图像的第一特征信息；然后根据注册的指纹模板中与指纹特征类型对应的第二特征信息，确定第一特征信息与第二特征信息的匹配度；判断匹配度是否大于等于预设的补偿阈值；若匹配度大于等于补偿阈值，则从指纹图像中获取与指纹模板交集之外的补偿图像，并将补偿图像添加到指纹模板中。由此，实现了在指纹识别过程中对初始注册的指纹模板进行不断完善，提高了指纹识别匹配率，并且突破了指纹模板的固定性和局限性，提高了指纹识别系统中注册阶段和识别阶段的整体性能。
为了更加清楚的描述根据识别阈值对录入的指纹图像的识别过程，以及根据补偿阈值对注册的指纹模板的完善过程，通过后续实施例具体说明如下：
图2是本申请另一个实施例的指纹模板完善方法的流程图，
图3是指纹识别及模板完善过程的示意图。
如图2和图3所示，该指纹模板完善方法包括：
步骤201，根据预设的指纹特征类型，提取录入的指纹图像的第一特征信息。
步骤202，根据注册的指纹模板中与指纹特征类型对应的第二特征信息，确定第一特征信息与第二特征信息的匹配度。
本实施例中的步骤201和步骤202的具体实施过程，参见图1所示实施例中的步骤101和步骤102，此处不再赘述。
步骤203，判断匹配度是否大于等于预设的识别阈值，其中，识别阈值小于补偿阈值。
预先设置的识别阈值是用于评判录入的指纹图像与注册的指纹模板之间的匹配度是否达到识别门限，如果两者之间的匹配度大于等于预设的识别阈值，则识别通过，执行步骤205，如果两者之间的匹配度小于预设的识别阈值，则识别不通过，执行步骤204。
步骤204，若匹配度小于所述识别阈值，则提示用户指纹录入识别失败。
步骤205，若匹配度大于等于识别阈值，则识别通过，根据预设的指令响应对应的事件。
具体地，若所述匹配度大于等于所述识别阈值，则根据预设的指令响应对应的事件，由于不同的应用场景，根据预设的指令响应对应的事件也不同，举例说明如下：
根据解锁指令对终端设备屏幕进行解锁；或者，根据打卡指令进行考勤记录，或者，根据解禁指令开门，或者，根据支付指令进行移动支付。
步骤206，判断匹配度是否大于等于预设的补偿阈值；
步骤207，若匹配度大于等于所述补偿阈值，则从指纹图像中获取与指纹模板交集之外的补偿图像，从第一特征信息中获取与第二特征信息交集之外的补偿特征信息，并将补偿图像和补偿特征信息添加到指纹模板中。
本实施例中的步骤206和步骤207的具体实施过程，参见图1所示实施例中的步骤103和步骤104，此处不再赘述。
本申请实施例的指纹模板完善方法，首先根据预设的指纹特征类型，提取录入的指纹图像的第一特征信息；然后根据注册的指纹模板中与指纹特征类型对应的第二特征信息，确定第一特征信息与第二特征信息的匹配度；判断匹配度是否大于等于预设的识别阈值，若否，则识别失败，若是，则根据预设的指令响应对应的事件，然后判断匹配度是否大于等于预设的补偿阈值；若匹配度大于等于补偿阈值，则从指纹图像中获取与指纹模板交集之外的补偿图像，并将补偿图像添加到指纹模板中。由此，实现了在指纹识别过程中对初始注册的指纹模板进行不断完善，提高了指纹识别匹配率，并且突破了指纹模板的固定性和局限性，提高了指纹识别系统中注册阶段和识别阶段的整体性能。
为了实现上述实施例，本申请还提出一种指纹模板完善装置。
图4是本申请一个实施例的指纹模板完善装置的结构示意图。
如图4所示，该指纹模板完善装置包括：
提取模块11，用于根据预设的指纹特征类型，提取录入的指纹图像的第一特征信息；
需要说明的是，预先设置的指纹特征类型的种类越多，对指纹图像的识别精度越高，由于不同应用场景下对指纹图像的识别精度要求不同，因此，可以根据具体需要对指纹特
征类型进行设置。举例说明如下：
指纹特征类型可以为指纹特征点，其中，指纹特征点包括：分叉点、终止点、中心点、三角点中的一种或多种组合，可以根据应用场景需要具体选择指纹特征点的类型。或者，指纹特征类型可以为指纹特征点，以及用于表明指纹特征点关系的方向信息的组合。
匹配模块12，用于根据注册的指纹模板中与指纹特征类型对应的第二特征信息，确定第一特征信息与第二特征信息的匹配度；
第一判断模块13，用于判断匹配度是否大于等于预设的补偿阈值；
第一处理模块14，用于若匹配度大于等于补偿阈值，则从指纹图像中获取与指纹模板交集之外的补偿图像，并将补偿图像添加到指纹模板中。
进一步地，在另一个实施例中，第一处理模块14，还用于从第一特征信息中获取与第二特征信息交集之外的补偿特征信息，并将补偿特征信息添加到指纹模板中。
需要说明的是，前述对指纹模板完善方法实施例的解释说明也适用于该实施例的指纹模板完善装置，此处不再赘述。
本申请实施例的指纹模板完善装置，首先根据预设的指纹特征类型，提取录入的指纹图像的第一特征信息；然后根据注册的指纹模板中与指纹特征类型对应的第二特征信息，确定第一特征信息与第二特征信息的匹配度；判断匹配度是否大于等于预设的补偿阈值；若匹配度大于等于补偿阈值，则从指纹图像中获取与指纹模板交集之外的补偿图像，并将补偿图像添加到指纹模板中。由此，实现了在指纹识别过程中对初始注册的指纹模板进行不断完善，提高了指纹识别匹配率，并且突破了指纹模板的固定性和局限性，提高了指纹识别系统中注册阶段和识别阶段的整体性能。
为了更加清楚的描述根据识别阈值对录入的指纹图像的识别过程，以及根据补偿阈值对注册的指纹模板的完善过程，通过后续实施例具体说明如下：
图5是本申请另一个实施例的指纹模板完善装置的结构示意图。
如图5所示，基于图4所示实施例，该指纹模板完善装置还包括：
第二判断模块15，用于判断匹配度是否大于等于预设的识别阈值，其中，识别阈值小于补偿阈值；
第二处理模块16，用于若匹配度大于等于识别阈值，则根据预设的指令响应对应的事件。
由于不同的应用场景，根据预设的指令响应对应的事件也不同，举例说明如下，第二处理模块16，具体用于：
根据解锁指令对终端设备屏幕进行解锁；或者，
根据打卡指令进行考勤记录，或者，
根据解禁指令开门，或者，
根据支付指令进行移动支付。
进一步地，所述第二处理模块16，还用于若匹配度小于识别阈值，则提示用户指纹录入识别失败。
需要说明的是，前述对指纹模板完善方法实施例的解释说明也适用于该实施例的指纹模板完善装置，此处不再赘述。
本申请实施例的指纹模板完善装置，首先根据预设的指纹特征类型，提取录入的指纹图像的第一特征信息；然后根据注册的指纹模板中与指纹特征类型对应的第二特征信息，确定第一特征信息与第二特征信息的匹配度；判断匹配度是否大于等于预设的识别阈值，若否，则识别失败，若是，则根据预设的指令响应对应的事件，然后判断匹配度是否大于等于预设的补偿阈值；若匹配度大于等于补偿阈值，则从指纹图像中获取与指纹模板交集之外的补偿图像，并将补偿图像添加到指纹模板中。由此，实现了在指纹识别过程中对初始注册的指纹模板进行不断完善，提高了指纹识别匹配率，并且突破了指纹模板的固定性和局限性，提高了指纹识别系统中注册阶段和识别阶段的整体性能。
为了实现上述实施例，本申请还提出一种终端设备。
该终端设备包括：设备本体，以及本发明上述实施例提供的指纹模板完善装置。
需要说明的是，终端设备的类型很多，例如可以包括：手机、考勤机、支付设备、或，门禁控制设备。
需要说明的是，前述对指纹模板完善方法实施例的解释说明也适用于该实施例的终端设备，其实现原理类似，此处不再赘述。
本申请实施例的终端设备，通过指纹模板完善装置首先根据预设的指纹特征类型，提取录入的指纹图像的第一特征信息；然后根据注册的指纹模板中与指纹特征类型对应的第二特征信息，确定第一特征信息与第二特征信息的匹配度；判断匹配度是否大于等于预设的补偿阈值；若匹配度大于等于补偿阈值，则从指纹图像中获取与指纹模板交集之外的补偿图像，并将补偿图像添加到指纹模板中。由此，实现了在指纹识别过程中对初始注册的指纹模板进行不断完善，提高了指纹识别匹配率，并且突破了指纹模板的固定性和局限性，提高了指纹识别系统中注册阶段和识别阶段的整体性能。
为了实现上述实施例，本申请还提出一种终端设备。
参见图6，图6是本申请一个实施例的终端设备的结构示意图。
参见图6，本实施例提供的终端设备60包括：壳体601、处理器602、存储器603、电路板604和电源电路605，其中，电路板604安置在壳体601围成的空间内部，处理器602和存储器603设置在电路板604上；电源电路605，用于为移动终端的各个电路或器件供电；存储器603用于存储可执行程序代码；处理器602通过读取存储器603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，以用于执行以下步骤：
根据预设的指纹特征类型，提取录入的指纹图像的第一特征信息；
根据注册的指纹模板中与指纹特征类型对应的第二特征信息，确定第一特征信息与第二特征信息的匹配度；
判断匹配度是否大于等于预设的补偿阈值；
若匹配度大于等于补偿阈值，则从指纹图像中获取与指纹模板交集之外的补偿图像，并将补偿图像添加到指纹模板中。
需要说明的是，前述对指纹模板完善方法实施例的解释说明也适用于该实施例的终端设备，其实现原理类似，此处不再赘述。
本申请实施例的终端设备，通过处理器读取存储器中存储的可执行程序代码来运行与所述可执行程序代码对应的程序，以用于执行以下步骤：根据预设的指纹特征类型，提取录入的指纹图像的第一特征信息；根据注册的指纹模板中与指纹特征类型对应的第二特征信息，确定第一特征信息与第二特征信息的匹配度；判断匹配度是否大于等于预设的补偿阈值；若匹配度大于等于补偿阈值，则从指纹图像中获取与指纹模板交集之外的补偿图像，并将补偿图像添加到所述指纹模板中。由此，实现了在指纹识别过程中对初始注册的指纹模板进行不断完善，提高了指纹识别匹配率，并且突破了指纹模板的固定性和局限性，提高了指纹识别系统中注册阶段和识别阶段的整体性能。
为了实现上述实施例，本申请还提出一种非易失性计算机存储介质，计算机存储介质存储有一个或者多个程序，当一个或者多个程序被一个设备执行时，使得设备执行以本申请第一方面实施例的指纹模板完善方法。
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 (16)
- 一种指纹模板完善方法，其特征在于，包括以下步骤：根据预设的指纹特征类型，提取录入的指纹图像的第一特征信息；根据注册的指纹模板中与所述指纹特征类型对应的第二特征信息，确定所述第一特征信息与所述第二特征信息的匹配度；判断所述匹配度是否大于等于预设的补偿阈值；若所述匹配度大于等于所述补偿阈值，则从所述指纹图像中获取与所述指纹模板交集之外的补偿图像，并将所述补偿图像添加到所述指纹模板中。
- 如权利要求1所述的方法，其特征在于，若所述匹配度大于等于所述补偿阈值，还包括：从所述第一特征信息中获取与所述第二特征信息交集之外的补偿特征信息，并将所述补偿特征信息添加到所述指纹模板中。
- 如权利要求1所述的方法，其特征在于，所述指纹特征类型包括：指纹特征点，或者，指纹特征点，以及用于表明指纹特征点关系的方向信息。
- 如权利要求3所述的方法，其特征在于，所述指纹特征点包括：分叉点、终止点、中心点、三角点中的一种或多种组合。
- 如权利要求1-4任一所述的方法，其特征在于，所述确定所述第一特征信息的匹配度之后，还包括：判断所述匹配度是否大于等于预设的识别阈值，其中，所述识别阈值小于所述补偿阈值；若所述匹配度大于等于所述识别阈值，则根据预设的指令响应对应的事件。
- 如权利要求5所述的方法，其特征在于，所述根据预设的指令响应对应的事件包括：根据解锁指令对终端设备屏幕进行解锁；或者，根据打卡指令进行考勤记录，或者，根据解禁指令开门，或者，根据支付指令进行移动支付。
- 如权利要求5所述的方法，其特征在于，还包括：若所述匹配度小于所述识别阈值，则提示用户指纹录入识别失败。
- 一种指纹模板完善装置，其特征在于，包括：提取模块，用于根据预设的指纹特征类型，提取录入的指纹图像的第一特征信息；匹配模块，用于根据注册的指纹模板中与所述指纹特征类型对应的第二特征信息，确定所述第一特征信息与所述第二特征信息的匹配度；第一判断模块，用于判断所述匹配度是否大于等于预设的补偿阈值；第一处理模块，用于若所述匹配度大于等于所述补偿阈值，则从所述指纹图像中获取与所述指纹模板交集之外的补偿图像，并将所述补偿图像添加到所述指纹模板中。
- 如权利要求8所述的装置，其特征在于，所述第一处理模块，还用于从所述第一特征信息中获取与所述第二特征信息交集之外的补偿特征信息，并将所述补偿特征信息添加到所述指纹模板中。
- 如权利要求8所述的装置，其特征在于，所述指纹特征类型包括：指纹特征点，或者，指纹特征点，以及用于表明指纹特征点关系的方向信息。
- 如权利要求8所述的装置，其特征在于，所述指纹特征点包括：分叉点、终止点、中心点、三角点中的一种或多种组合。
- 如权利要求8-11任一所述的装置，其特征在于，还包括：第二判断模块，用于判断所述匹配度是否大于等于预设的识别阈值，其中，所述识别阈值小于所述补偿阈值；第二处理模块，用于若所述匹配度大于等于所述识别阈值，则根据预设的指令响应对应的事件。
- 如权利要求12所述的装置，其特征在于，所述第二处理模块，具体用于：根据解锁指令对终端设备屏幕进行解锁；或者，根据打卡指令进行考勤记录，或者，根据解禁指令开门，或者，根据支付指令进行移动支付。
- 如权利要求12所述的装置，其特征在于，所述第二处理模块，还用于若所述匹配度小于所述识别阈值，则提示用户指纹录入识别失败。
- 一种终端设备，其特征在于，包括：壳体、处理器、存储器、电路板和电源电路，其中，所述电路板安置在所述壳体围成的空间内部，所述处理器和所述存储器设置在所述 电路板上；所述电源电路，用于为所述移动终端的各个电路或器件供电；所述存储器用于存储可执行程序代码；所述处理器通过读取所述存储器中存储的可执行程序代码来运行与所述可执行程序代码对应的程序，以用于执行以下步骤：根据预设的指纹特征类型，提取录入的指纹图像的第一特征信息；根据注册的指纹模板中与所述指纹特征类型对应的第二特征信息，确定所述第一特征信息与所述第二特征信息的匹配度；判断所述匹配度是否大于等于预设的补偿阈值；若所述匹配度大于等于所述补偿阈值，则从所述指纹图像中获取与所述指纹模板交集之外的补偿图像，并将所述补偿图像添加到所述指纹模板中。
- 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1-7任一项所述的提升指纹识别性能的方法。
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| CN105956553B (zh) * | 2016-04-28 | 2019-12-06 | Oppo广东移动通信有限公司 | 一种解锁方法及移动终端 |
| CN107622193B (zh) * | 2016-05-27 | 2019-12-06 | Oppo广东移动通信有限公司 | 指纹解锁方法及相关产品 |
| CN107609379B (zh) * | 2016-05-30 | 2019-08-27 | Oppo广东移动通信有限公司 | 一种解锁控制方法及移动终端 |
| CN106022290B (zh) * | 2016-05-30 | 2018-03-27 | 广东欧珀移动通信有限公司 | 一种指纹模板更新方法及终端设备 |
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| EP3258417A4 (en) | 2018-05-23 |
| US10366275B2 (en) | 2019-07-30 |
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| EP3258417A1 (en) | 2017-12-20 |
| US20180032790A1 (en) | 2018-02-01 |
| CN105447454A (zh) | 2016-03-30 |
| US10417478B2 (en) | 2019-09-17 |
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