WO2017020383A1 - Self-learning method based on biological characteristic and mobile terminal - Google Patents
Self-learning method based on biological characteristic and mobile terminal Download PDFInfo
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- WO2017020383A1 WO2017020383A1 PCT/CN2015/088484 CN2015088484W WO2017020383A1 WO 2017020383 A1 WO2017020383 A1 WO 2017020383A1 CN 2015088484 W CN2015088484 W CN 2015088484W WO 2017020383 A1 WO2017020383 A1 WO 2017020383A1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
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- the present invention relates to the field of terminal applications, and in particular, to a biometric self-learning method and a mobile terminal.
- the biometric sensing based terminal is widely used in the fields of terminal unlocking, secure payment, private mode and dual system.
- the terminal includes at least one biosensor for obtaining biometric characteristics of the user, and the biometrics may be fingerprints and faces. Features or irises, etc.
- An existing biometric-based user identification method is that a user pre-records a biometric feature, such as fingerprint information, and saves the fingerprint information in a database.
- a biometric feature such as fingerprint information
- the user presses a finger on the fingerprint sensor to obtain fingerprint information, and the current The fingerprint information is compared with the fingerprint information in the database. If there is the same, the user is identified; if not, the user does not pass the identification.
- the terminal will not be able to identify the user, and re-entry of the new biometric takes time and energy.
- the embodiment of the invention provides a biometric self-learning method and a mobile terminal, which are used to solve the problem that the mobile terminal automatically adds new first biometric information with the assistance of the second biometric feature after the first biometric change occurs.
- the storage into the feature information library avoids the manual entry of biometric information again, which simplifies user operations.
- a biometric self-learning method including:
- the first biometric information is stored in the feature information database.
- the method before the acquiring the first biometric information, the method further includes:
- the pre-recorded biometric information of the user is acquired, and the pre-recorded biometric information is saved in the feature information database.
- the determining whether the first biometric information matches any one of the pre-recorded biometric information in the feature information database comprises:
- the first biometric information Comparing whether the first biometric information is identical to the pre-recorded biometric information, and if so, the first biometric information matches one of the pre-recorded biometric information; if not, the The first biometric information does not match the pre-recorded biometric information.
- the method further includes:
- the first embodiment of the first aspect of the present invention, the second embodiment of the first aspect of the present invention, or the third embodiment of the first aspect of the present invention, in the fourth embodiment of the first aspect of the present invention also includes:
- a second aspect of the present invention provides a biometric-based mobile terminal, including:
- a first acquiring module configured to acquire first biometric information
- a first determining module configured to determine whether the first biometric information matches any one of the pre-recorded biometric information in the feature information database
- a second acquiring module configured to acquire second biometric information when the first biometric information does not match the pre-recorded biometric information
- a second determining module configured to determine whether the second biometric information matches any one of the pre-recorded biometric information in the feature information database
- a storage module configured to store the first biometric information in the feature information database when the second biometric information matches one of the pre-recorded biometric information.
- the mobile terminal further includes: a feature setting module
- the feature setting module is configured to acquire pre-recorded biometric information of the user when in the setting mode, and save the pre-recorded biometric information in the feature information database.
- the first determining module is specifically configured to parse the first biometric information to obtain a biometric type
- the first determining module is specifically configured to extract at least one pre-recorded biometric information from the feature information database according to the biometric type;
- the first determining module is specifically configured to compare whether the first biometric information is identical to the pre-recorded biometric information, and if yes, the first biometric information and the pre-recorded biometric information are One matches; if not, the first biometric information does not match the pre-recorded biometric information.
- the mobile terminal further includes: a first execution module
- the first execution module is configured to perform a preset operation when the first biometric information matches one of the pre-recorded biometric information.
- the mobile terminal further includes: a second execution module;
- the second execution module is configured to: when the second biometric information and the pre-recorded biometric feature When the information does not match, the third biometric information is received or a prompt message is sent.
- the second biometric information is used for matching, and if the second biometric information is matched, the first biometric information is stored to the feature.
- the information base avoids the need for the user to manually enter the first biometric information again, which simplifies the user operation.
- FIG. 1 is a schematic diagram of an embodiment of a biometric self-learning method according to an embodiment of the present invention
- FIG. 2 is a schematic diagram of an embodiment of a biometric-based mobile terminal according to an embodiment of the present invention
- FIG. 3 is a schematic diagram of another embodiment of a biometric-based mobile terminal according to an embodiment of the present invention.
- the embodiment of the invention provides a biometric self-learning method and a mobile terminal, which are used to solve the problem that the mobile terminal automatically adds new first biometric information with the assistance of the second biometric feature after the first biometric change occurs.
- the storage into the feature information library avoids the manual entry of biometric information again, which simplifies user operations.
- an embodiment of the present invention provides a biometric self-learning method, including:
- the user uses the mobile terminal to perform biometric identification, and the mobile terminal acquires the first biometric information.
- step 103 determining whether the first biometric information is matched with any one of the pre-recorded biometric information in the feature information database, and if not, executing step 103;
- the mobile terminal determines whether the acquired first biometric information matches any pre-recorded biometric information in the feature information database, and if the first biometric information does not match the pre-recorded biometric information, Then step 103 is performed.
- the user uses the mobile terminal again, and the mobile terminal acquires the second biometric information.
- step 104 determining whether the second biometric information matches any one of the pre-recorded biometric information in the feature information database, and if yes, executing step 105;
- the mobile terminal determines whether the acquired second biometric information matches any pre-recorded biometric information in the feature information database, and if the second biometric information matches one of the pre-recorded biometric information Then, step 105 is performed.
- the mobile terminal when the second biometric information matches one of the pre-recorded biometric information, the mobile terminal stores the first biometric information in the feature information database as the new pre-recorded biometric information.
- the second biometric information is used for matching, and if the second biometric information is matched, the first The biometric information is stored in the feature information database, which avoids the user needing to manually enter the first biometric information again, which simplifies the user operation.
- the method before acquiring the first biometric information, the method further includes:
- the pre-recorded biometric information of the user is acquired, and the pre-recorded biometric information is saved in the feature information database.
- the step of setting the pre-recorded biometric information in the feature information database is added, so that The plan is more complete.
- determining whether the first biometric information matches any one of the pre-recorded biometric information in the feature information base includes:
- the first biometric information is identical to the pre-recorded biometric information, and if so, the first biometric information matches one of the pre-recorded biometric information; if not, the first biometric information and the pre-recorded biometric feature The information does not match.
- the step of determining whether the biometric information matches any of the pre-recorded biometric information in the feature information database is refined, so that the solution is more detailed.
- the method further includes:
- the step of matching the first biometric information with the pre-recorded biometric information is added, so that the scheme is more perfect.
- the method further includes:
- the third biometric information is received or the prompt information is sent.
- the step of adding the second biometric information to the pre-recorded biometric information does not match, so that the solution is more perfect.
- biometric self-learning method in the embodiment of the present invention is described in detail in an actual application scenario:
- the mobile terminal has at least one biometric sensor, and the biometric sensor can be used to collect the fingerprint, iris or facial features of the user. It is assumed that the mobile terminal is a punch card for commuting, and the card reader has a fingerprint and iris based biometric sensor.
- the card reader opens the setting mode, and saves the biometric information “fingerprint information” and “iris information” of the user as pre-recorded feature information in the feature information database, and “fingerprint information” in the feature information database.
- biometric information “fingerprint information” and “iris information” of the user as pre-recorded feature information in the feature information database, and “fingerprint information” in the feature information database.
- Iris Information is equal to the number of companies, that is, pre-recorded There are multiple biometric information.
- the fingerprint-based biometric sensor When the user punches the card, the fingerprint-based biometric sensor is used, the card reader records the fingerprint pressed by the user, processes the fingerprint to obtain the first biometric information “fingerprint information”, and parses the “fingerprint information” to obtain the biometric feature.
- the type is “fingerprint”, and multiple pre-recorded biometric information related to the fingerprint is extracted from the feature information database, and the pre-recorded biometric information is compared with “fingerprint information”, if there are multiple pre-recorded biometric information
- “fingerprint information” it means that the user is a formal employee, recording the time of punching; if the finger of the user pressing the fingerprint is scratched to make the fingerprint change, or using other fingers to press, the plurality of pre-recorded biometric information If none of them is the same as “Fingerprint Information", it means that the punch card does not pass.
- the user replaces the iris-based biometric sensor to punch the card
- the card reader records the iris image of the user
- processes the iris image to obtain the second biometric information “Iris Information”, and analyzes the “Iris Information” to obtain the biometric type.
- "Iris” extracting a plurality of pre-recorded biometric information related to the iris from the feature information database, and comparing a plurality of pre-recorded biometric information with "Iris Information”, if the same, the user is a formal employee.
- the punch time is recorded, and the first biometric information "fingerprint information" is stored as the pre-recorded biometric information of the user in the feature information database.
- the prompt information may be to remind the user to manually enter the biometric information of the user, or issue an alarm.
- first biometric information and the second biometric information may be fingerprints of different fingers of the same user or irises of left and right eyes, and biometrics may be other than fingerprints and irises, and the mobile terminal is not limited to including two kinds of creatures.
- Feature sensor may be used to determine whether the mobile terminal has a fingerprint or not be fingerprints of the same user or irises of left and right eyes.
- an embodiment of the biometric-based mobile terminal in the embodiment of the present invention includes:
- the first obtaining module 201 is configured to acquire first biometric information
- the first determining module 202 is configured to determine whether the first biometric information acquired by the first acquiring module 201 matches any one of the pre-recorded biometric information in the feature information database;
- the second obtaining module 203 is configured to: when the first determining module 202 determines that the first biometric information does not match the pre-recorded biometric information, acquire the second biometric information;
- the second determining module 204 is configured to determine whether the second biometric information acquired by the second acquiring module 203 matches any one of the pre-recorded biometric information in the feature information database;
- the storage module 205 is configured to: when the second determining module 204 determines that the second biometric information matches one of the pre-recorded biometric information, the first biometric information is stored in the feature information database.
- the second biometric information is used for matching, and if the second biometric information is matched, the first The biometric information is stored in the feature information database, which avoids the user needing to manually enter the first biometric information again, which simplifies the user operation.
- the biometric-based mobile terminal further includes: a feature setting module 301;
- the feature setting module 301 is configured to acquire pre-recorded biometric information of the user when in the setting mode, and save the pre-recorded biometric information in the feature information database.
- the step of setting the biometric information pre-recorded in the feature information database by the feature setting module 301 is added, so that the solution is more complete.
- the first determining module 202 is specifically configured to parse the first biometric information to obtain a biometric type
- the first determining module 202 is specifically configured to extract at least one pre-recorded biometric information from the feature information database according to the biometric type;
- the first determining module 202 is specifically configured to compare whether the first biometric information is identical to the pre-recorded biometric information, and if so, the first biometric information and the pre-recorded biometric information have one match; if not, the first A biometric information does not match the pre-recorded biometric information.
- the first determining module 202 refines the step of determining whether the biometric information matches any one of the pre-recorded biometric information in the feature information database, so that the solution is more detailed.
- the mobile terminal further includes: a first execution module 302;
- the first execution module 302 is configured to perform a preset operation when the first biometric information matches one of the pre-recorded biometric information.
- the first execution module 302 when the first biometric information matches one of the pre-recorded biometric information, the first execution module 302 performs a preset operation, so that the solution is more perfect.
- the mobile terminal further includes: a second execution module 303;
- the second execution module 303 is configured to receive the third biometric information or issue the prompt information when the second biometric information does not match the prerecorded biometric information.
- the second execution module 303 when the second biometric information does not match the pre-recorded biometric information, the second execution module 303 performs a preset operation, so that the solution is more perfect.
- the mobile terminal has at least one biometric sensor, and the biometric sensor can be used to collect the fingerprint, iris or facial features of the user. It is assumed that the mobile terminal is a punch card for commuting, and the card reader has a fingerprint and iris based biometric sensor.
- the feature setting module 301 turns on the setting mode, and the storage module 205 stores the biometric information "fingerprint information" and "iris information" of the user as pre-recorded feature information in the feature information.
- the "fingerprint information” and "iris information” in the feature information database are equivalent to the number of companies, that is, there are multiple pre-recorded biometric information.
- the fingerprint-based biometric sensor When the user punches the card, the fingerprint-based biometric sensor is used.
- the first acquiring module 201 records the fingerprint pressed by the user, processes the fingerprint to obtain the first biometric information “fingerprint information”, and the first determining module 202 pairs the “fingerprint”.
- the information is parsed to obtain the biometric type as “fingerprint”, and a plurality of pre-recorded biometric information related to the fingerprint are extracted from the feature information database, and the pre-recorded biometric information is compared with “fingerprint information”, if more One of the pre-recorded biometric information is the same as the "fingerprint information", indicating that the user is a formal employee, and the first execution module 302 records the punching time; if the user presses the fingerprint of the finger, the fingerprint is changed. If the fingerprint is pressed or the other finger is pressed, if none of the plurality of pre-recorded biometric information is the same as the "fingerprint information", the punching does not pass.
- the user switches to the iris-based biometric sensor for punching
- the second obtaining module 203 records the iris image of the user, processes the iris image to obtain the second biometric information “Iris Information”, and the second determining module 204 pairs the “Iris Information”.
- the storage module 205 stores the first biometric information “fingerprint information” as the pre-recorded biometric information of the user in the feature information database.
- the second execution module 303 can switch to facial feature based
- the biometric sensor performs punching, receives the third biometric information “facial feature information”, or issues a prompt message, which may prompt the user to manually enter the biometric information of the user or issue an alarm.
- first biometric information and the second biometric information may be fingerprints of different fingers of the same user or irises of left and right eyes, and biometrics may be other than fingerprints and irises, and the mobile terminal is not limited to including two kinds of creatures.
- Feature sensor may be used to determine whether the mobile terminal has a fingerprint or not be fingerprints of the same user or irises of left and right eyes.
- the disclosed system, apparatus, and method may be implemented in other manners.
- the device embodiments described above are merely illustrative.
- the division of the unit is only a logical function division.
- there may be another division manner for example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored or not executed.
- the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be in an electrical, mechanical or other form.
- the units described as separate components may or may not be physically separate.
- the components displayed for the unit may or may not be physical units, ie may be located in one place, or may be distributed over multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
- each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
- the above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.
- the integrated unit if implemented in the form of a software functional unit and sold or used as a standalone product, may be stored in a computer readable storage medium.
- the technical solution of the present invention which is essential or contributes to the prior art, or all or part of the technical solution, may be embodied in the form of a software product stored in a storage medium.
- a number of instructions are included to cause a computer device (which may be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention.
- the foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and the like. .
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Abstract
A self-learning method based on a biological characteristic and a mobile terminal, which are used for realizing that after a first biological characteristic changes, the mobile terminal automatically stores new first biological characteristic information in a characteristic information library with the assistance of a second biological characteristic, so that the case where a user manually inputs biological characteristic information again is avoided, thereby simplifying a user operation. The method comprises: acquiring first biological characteristic information (101); judging whether the first biological characteristic information matches any piece of pre-recorded biological characteristic information in a characteristic information library (102); if the first biological characteristic information does not match the pre-recorded biological characteristic information, acquiring second biological characteristic information (103); judging whether the second biological characteristic information matches any piece of pre-recorded biological characteristic information in the characteristic information library (104); and if the second biological characteristic information matches one piece of pre-recorded biological characteristic information, storing the first biological characteristic information in the characteristic information library (105).
Description
本发明涉及终端应用领域，尤其涉及一种基于生物特征自学习方法及移动终端。The present invention relates to the field of terminal applications, and in particular, to a biometric self-learning method and a mobile terminal.
基于生物特征传感的终端，被广泛的应用于终端解锁、安全支付、私密模式及双系统等领域，终端中至少包含一个生物传感器，用于获得用户的生物特征，生物特征可以是指纹、面部特征或者虹膜等。The biometric sensing based terminal is widely used in the fields of terminal unlocking, secure payment, private mode and dual system. The terminal includes at least one biosensor for obtaining biometric characteristics of the user, and the biometrics may be fingerprints and faces. Features or irises, etc.
一种现有的基于生物特征的用户识别方法是，用户预先录入生物特征，例如指纹信息，将指纹信息保存在数据库中，在之后使用时，用户在指纹传感器按压手指，得到指纹信息，将当前的指纹信息与数据库中的指纹信息进行比对，如果有相同的，则该用户通过识别；如果没有相同的，则该用户不通过识别。An existing biometric-based user identification method is that a user pre-records a biometric feature, such as fingerprint information, and saves the fingerprint information in a database. When used later, the user presses a finger on the fingerprint sensor to obtain fingerprint information, and the current The fingerprint information is compared with the fingerprint information in the database. If there is the same, the user is identified; if not, the user does not pass the identification.
但是，当用户预先录入的生物特征出现变化时，如第一次录入指纹信息的手指在之后受伤，使得指纹破坏，终端将无法识别该用户了，而重新的录入新的生物特征需要耗费时间和精力。However, when the biometric features previously entered by the user change, such as the finger that first entered the fingerprint information is injured afterwards, the fingerprint is destroyed, the terminal will not be able to identify the user, and re-entry of the new biometric takes time and energy.
发明内容Summary of the invention
本发明实施例提供了一种基于生物特征自学习方法及移动终端，用于解决用户在第一生物特征发生变化后，移动终端在第二生物特征的辅助下自动将新的第一生物特征信息存储到特征信息库，避免了再次手动录入生物特征信息，简化了用户操作。The embodiment of the invention provides a biometric self-learning method and a mobile terminal, which are used to solve the problem that the mobile terminal automatically adds new first biometric information with the assistance of the second biometric feature after the first biometric change occurs. The storage into the feature information library avoids the manual entry of biometric information again, which simplifies user operations.
有鉴于此本发明第一方面提供一种基于生物特征自学习方法，包括：In view of the first aspect of the present invention, a biometric self-learning method is provided, including:
获取第一生物特征信息；Obtaining first biometric information;
判断所述第一生物特征信息是否与特征信息库中的任意一个预录生物特征信息相匹配；Determining whether the first biometric information matches any one of the pre-recorded biometric information in the feature information database;
若所述第一生物特征信息与所述预录生物特征信息不匹配，则获取第二
生物特征信息；If the first biometric information does not match the pre-recorded biometric information, acquiring the second
Biometric information;
判断所述第二生物特征信息是否与所述特征信息库中的任意一个所述预录生物特征信息相匹配；Determining whether the second biometric information matches any one of the pre-recorded biometric information in the feature information database;
若所述第二生物特征信息与所述预录生物特征信息有一个相匹配，则将所述第一生物特征信息存入所述特征信息库中。And if the second biometric information matches one of the pre-recorded biometric information, the first biometric information is stored in the feature information database.
结合本发明第一方面，本发明第一方面第一实施方式中，所述获取第一生物特征信息之前，还包括：With reference to the first aspect of the present invention, in the first embodiment of the first aspect of the present invention, before the acquiring the first biometric information, the method further includes:
当处于设置模式下时，获取用户的预录生物特征信息，并将所述预录生物特征信息保存于所述特征信息库中。When in the setting mode, the pre-recorded biometric information of the user is acquired, and the pre-recorded biometric information is saved in the feature information database.
结合本发明第一方面，本发明第一方面第二实施方式中，所述判断所述第一生物特征信息是否与所述特征信息库中的任意一个所述预录生物特征信息相匹配包括：With reference to the first aspect of the present invention, in the second embodiment of the first aspect of the present invention, the determining whether the first biometric information matches any one of the pre-recorded biometric information in the feature information database comprises:
对所述第一生物特征信息进行解析，获得生物特征类型；Parsing the first biometric information to obtain a biometric type;
根据所述生物特征类型从所述特征信息库中提取出至少一个预录生物特征信息；Extracting at least one pre-recorded biometric information from the feature information database according to the biometric type;
比较所述第一生物特征信息是否与所述预录生物特征信息有一个相同，若是，则所述第一生物特征信息与所述预录生物特征信息有一个相匹配；若否，则所述第一生物特征信息与所述预录生物特征信息不匹配。Comparing whether the first biometric information is identical to the pre-recorded biometric information, and if so, the first biometric information matches one of the pre-recorded biometric information; if not, the The first biometric information does not match the pre-recorded biometric information.
结合本发明第一方面或本发明第一方面第一实施方式，本发明第一方面第三实施方式中，所述方法还包括：With reference to the first aspect of the present invention or the first embodiment of the first aspect of the present invention, in the third implementation manner of the first aspect of the present invention, the method further includes:
若所述第一生物特征信息与所述预录生物特征信息有一个相匹配，则执行预先设置的操作。If the first biometric information matches one of the pre-recorded biometric information, a preset operation is performed.
结合本发明第一方面、本发明第一方面第一实施方式、本发明第一方面第二实施方式或本发明第一方面第三实施方式，本发明第一方面第四实施方式中，所述方法还包括：With reference to the first aspect of the present invention, the first embodiment of the first aspect of the present invention, the second embodiment of the first aspect of the present invention, or the third embodiment of the first aspect of the present invention, in the fourth embodiment of the first aspect of the present invention, The method also includes:
若所述第二生物特征信息与所述预录生物特征信息都不匹配，则接收第三生物特征信息或发出提示信息。And if the second biometric information does not match the pre-recorded biometric information, receiving the third biometric information or issuing the prompt information.
本发明第二方面提供一种基于生物特征的移动终端，包括：A second aspect of the present invention provides a biometric-based mobile terminal, including:
第一获取模块，用于获取第一生物特征信息；
a first acquiring module, configured to acquire first biometric information;
第一判断模块，用于判断所述第一生物特征信息是否与特征信息库中的任意一个预录生物特征信息相匹配；a first determining module, configured to determine whether the first biometric information matches any one of the pre-recorded biometric information in the feature information database;
第二获取模块，用于当所述第一生物特征信息与所述预录生物特征信息不匹配时，获取第二生物特征信息；a second acquiring module, configured to acquire second biometric information when the first biometric information does not match the pre-recorded biometric information;
第二判断模块，用于判断所述第二生物特征信息是否与所述特征信息库中的任意一个所述预录生物特征信息相匹配；a second determining module, configured to determine whether the second biometric information matches any one of the pre-recorded biometric information in the feature information database;
存储模块，用于当所述第二生物特征信息与所述预录生物特征信息有一个相匹配时，将所述第一生物特征信息存入所述特征信息库中。And a storage module, configured to store the first biometric information in the feature information database when the second biometric information matches one of the pre-recorded biometric information.
结合本发明第二方面，本发明第二方面第一实施方式中，所述移动终端还包括：特征设置模块；With reference to the second aspect of the present invention, in the first embodiment of the second aspect of the present invention, the mobile terminal further includes: a feature setting module;
所述特征设置模块，用于当处于设置模式下时，获取用户的预录生物特征信息，并将所述预录生物特征信息保存于所述特征信息库中。The feature setting module is configured to acquire pre-recorded biometric information of the user when in the setting mode, and save the pre-recorded biometric information in the feature information database.
结合本发明第二方面，本发明第二方面第二实施方式中，With reference to the second aspect of the present invention, in the second embodiment of the second aspect of the present invention,
所述第一判断模块，具体用于对所述第一生物特征信息进行解析，获得生物特征类型；The first determining module is specifically configured to parse the first biometric information to obtain a biometric type;
所述第一判断模块，具体用于根据所述生物特征类型从所述特征信息库中提取出至少一个预录生物特征信息；The first determining module is specifically configured to extract at least one pre-recorded biometric information from the feature information database according to the biometric type;
所述第一判断模块，具体用于比较所述第一生物特征信息是否与所述预录生物特征信息有一个相同，若是，则所述第一生物特征信息与所述预录生物特征信息有一个相匹配；若否，则所述第一生物特征信息与所述预录生物特征信息不匹配。The first determining module is specifically configured to compare whether the first biometric information is identical to the pre-recorded biometric information, and if yes, the first biometric information and the pre-recorded biometric information are One matches; if not, the first biometric information does not match the pre-recorded biometric information.
结合本发明第二方面或本发明第二方面第一实施方式，本发明第二方面第三实施方式中，所述移动终端还包括：第一执行模块；With reference to the second aspect of the present invention or the first embodiment of the second aspect of the present invention, in the third embodiment of the second aspect of the present invention, the mobile terminal further includes: a first execution module;
所述第一执行模块，用于当所述第一生物特征信息与所述预录生物特征信息有一个相匹配时，执行预先设置的操作。The first execution module is configured to perform a preset operation when the first biometric information matches one of the pre-recorded biometric information.
结合本发明第二方面、本发明第二方面第一实施方式、本发明第二方面第二实施方式或本发明第二方面第三实施方式，本发明第二方面第四实施方式中，所述移动终端还包括：第二执行模块；With reference to the second aspect of the present invention, the first embodiment of the second aspect of the present invention, the second embodiment of the second aspect of the present invention, or the second embodiment of the second aspect of the present invention, in the fourth embodiment of the second aspect of the present invention, The mobile terminal further includes: a second execution module;
所述第二执行模块，用于当所述第二生物特征信息与所述预录生物特征
信息都不匹配时，接收第三生物特征信息或发出提示信息。The second execution module is configured to: when the second biometric information and the pre-recorded biometric feature
When the information does not match, the third biometric information is received or a prompt message is sent.
从以上技术方案可以看出，本发明实施例具有以下优点：It can be seen from the above technical solutions that the embodiments of the present invention have the following advantages:
用户使用移动终端进行特征识别时，在第一生物特征信息匹配无法通过的情况下，使用第二生物特征信息进行匹配，如果第二生物特征信息通过匹配，则将第一生物特征信息存储到特征信息库，避免了用户需要再次手动录入第一生物特征信息，简化了用户操作。When the user uses the mobile terminal for feature recognition, if the first biometric information matching fails, the second biometric information is used for matching, and if the second biometric information is matched, the first biometric information is stored to the feature. The information base avoids the need for the user to manually enter the first biometric information again, which simplifies the user operation.
为了更清楚地说明本发明实施例技术方案，下面将对实施例和现有技术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它的附图。In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the embodiments and the prior art description will be briefly described below. Obviously, the drawings in the following description are only some implementations of the present invention. For example, other drawings may be obtained from those skilled in the art without any inventive effort.
图1为本发明实施例中基于生物特征自学习方法的一个实施例示意图；1 is a schematic diagram of an embodiment of a biometric self-learning method according to an embodiment of the present invention;
图2为本发明实施例中基于生物特征的移动终端的一个实施例示意图；2 is a schematic diagram of an embodiment of a biometric-based mobile terminal according to an embodiment of the present invention;
图3为本发明实施例中基于生物特征的移动终端的另一个实施例示意图。FIG. 3 is a schematic diagram of another embodiment of a biometric-based mobile terminal according to an embodiment of the present invention.
本发明实施例提供了一种基于生物特征自学习方法及移动终端，用于解决用户在第一生物特征发生变化后，移动终端在第二生物特征的辅助下自动将新的第一生物特征信息存储到特征信息库，避免了再次手动录入生物特征信息，简化了用户操作。The embodiment of the invention provides a biometric self-learning method and a mobile terminal, which are used to solve the problem that the mobile terminal automatically adds new first biometric information with the assistance of the second biometric feature after the first biometric change occurs. The storage into the feature information library avoids the manual entry of biometric information again, which simplifies user operations.
为了使本技术领域的人员更好地理解本发明方案，下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本发明一部分的实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都应当属于本发明保护的范围。The technical solutions in the embodiments of the present invention are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present invention. It is an embodiment of the invention, but not all of the embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts shall fall within the scope of the present invention.
下面通过具体实施例，分别进行详细说明。The detailed description will be respectively made below through specific embodiments.
请参阅图1，本发明实施例提供一种基于生物特征自学习方法，包括：
Referring to FIG. 1 , an embodiment of the present invention provides a biometric self-learning method, including:
101、获取第一生物特征信息；101. Acquire first biometric information;
本发明实施例中，用户使用移动终端进行生物特征识别，移动终端获取第一生物特征信息。In the embodiment of the present invention, the user uses the mobile terminal to perform biometric identification, and the mobile terminal acquires the first biometric information.
102、判断第一生物特征信息是否与特征信息库中的任意一个预录生物特征信息相匹配，若否，则执行步骤103；102, determining whether the first biometric information is matched with any one of the pre-recorded biometric information in the feature information database, and if not, executing step 103;
本发明实施例中，移动终端判断获取到的第一生物特征信息是否与特征信息库中的任意一个预录生物特征信息相匹配，若第一生物特征信息与预录生物特征信息都不匹配，则执行步骤103。In the embodiment of the present invention, the mobile terminal determines whether the acquired first biometric information matches any pre-recorded biometric information in the feature information database, and if the first biometric information does not match the pre-recorded biometric information, Then step 103 is performed.
103、获取第二生物特征信息；103. Acquire second biometric information;
本发明实施例中，当第一生物特征信息与预录生物特征信息都不匹配时，用户再次使用移动终端，移动终端获取第二生物特征信息。In the embodiment of the present invention, when the first biometric information does not match the pre-recorded biometric information, the user uses the mobile terminal again, and the mobile terminal acquires the second biometric information.
104、判断第二生物特征信息是否与特征信息库中的任意一个预录生物特征信息相匹配，若是，则执行步骤105；104, determining whether the second biometric information matches any one of the pre-recorded biometric information in the feature information database, and if yes, executing step 105;
本发明实施例中，移动终端判断获取到的第二生物特征信息是否与特征信息库中的任意一个预录生物特征信息相匹配，若第二生物特征信息与预录生物特征信息有一个相匹配，则执行步骤105。In the embodiment of the present invention, the mobile terminal determines whether the acquired second biometric information matches any pre-recorded biometric information in the feature information database, and if the second biometric information matches one of the pre-recorded biometric information Then, step 105 is performed.
105、将第一生物特征信息存入特征信息库中。105. Store the first biometric information in the feature information database.
本发明实施例中，当第二生物特征信息与预录生物特征信息有一个相匹配时，移动终端将第一生物特征信息存入特征信息库中，作为新的预录生物特征信息。In the embodiment of the present invention, when the second biometric information matches one of the pre-recorded biometric information, the mobile terminal stores the first biometric information in the feature information database as the new pre-recorded biometric information.
本发明实施例中，用户使用移动终端进行特征识别时，在第一生物特征信息匹配无法通过的情况下，使用第二生物特征信息进行匹配，如果第二生物特征信息通过匹配，则将第一生物特征信息存储到特征信息库，避免了用户需要再次手动录入第一生物特征信息，简化了用户操作。In the embodiment of the present invention, when the user uses the mobile terminal for feature recognition, if the first biometric information matching fails, the second biometric information is used for matching, and if the second biometric information is matched, the first The biometric information is stored in the feature information database, which avoids the user needing to manually enter the first biometric information again, which simplifies the user operation.
可选的，本发明的一些实施例中，获取第一生物特征信息之前，还包括：Optionally, in some embodiments of the present invention, before acquiring the first biometric information, the method further includes:
当处于设置模式下时，获取用户的预录生物特征信息，并将预录生物特征信息保存于特征信息库中。When in the setting mode, the pre-recorded biometric information of the user is acquired, and the pre-recorded biometric information is saved in the feature information database.
本发明实施例中，增加特征信息库中预录生物特征信息的设置步骤，使
得方案更加完整。In the embodiment of the present invention, the step of setting the pre-recorded biometric information in the feature information database is added, so that
The plan is more complete.
可选的，本发明的一些实施例中，判断第一生物特征信息是否与特征信息库中的任意一个预录生物特征信息相匹配包括：Optionally, in some embodiments of the present invention, determining whether the first biometric information matches any one of the pre-recorded biometric information in the feature information base includes:
对第一生物特征信息进行解析，获得生物特征类型；Parsing the first biometric information to obtain a biometric type;
根据生物特征类型从特征信息库中提取出至少一个预录生物特征信息；Extracting at least one pre-recorded biometric information from the feature information base according to the biometric type;
比较第一生物特征信息是否与预录生物特征信息有一个相同，若是，则第一生物特征信息与预录生物特征信息有一个相匹配；若否，则第一生物特征信息与预录生物特征信息都不匹配。Comparing whether the first biometric information is identical to the pre-recorded biometric information, and if so, the first biometric information matches one of the pre-recorded biometric information; if not, the first biometric information and the pre-recorded biometric feature The information does not match.
本发明实施例中，对判断生物特征信息是否与特征信息库中的任意一个预录生物特征信息相匹配的步骤进行细化，使得方案更加详细。In the embodiment of the present invention, the step of determining whether the biometric information matches any of the pre-recorded biometric information in the feature information database is refined, so that the solution is more detailed.
可选的，本发明的一些实施例中，还包括：Optionally, in some embodiments of the present invention, the method further includes:
若第一生物特征信息与预录生物特征信息有一个相匹配，则执行预先设置的操作。If the first biometric information matches one of the pre-recorded biometric information, a pre-set operation is performed.
本发明实施例中，增加第一生物特征信息与预录生物特征信息有一个相匹配时的步骤，使得方案更加完善。In the embodiment of the present invention, the step of matching the first biometric information with the pre-recorded biometric information is added, so that the scheme is more perfect.
可选的，本发明的一些实施例中，还包括：Optionally, in some embodiments of the present invention, the method further includes:
若第二生物特征信息与预录生物特征信息不匹配，则接收第三生物特征信息或发出提示信息。If the second biometric information does not match the pre-recorded biometric information, the third biometric information is received or the prompt information is sent.
本发明实施例中，增加第二生物特征信息与预录生物特征信息不匹配时的步骤，使得方案更加完善。In the embodiment of the present invention, the step of adding the second biometric information to the pre-recorded biometric information does not match, so that the solution is more perfect.
为便于理解，下面以一个实际应用场景对本发明实施例中基于生物特征自学习方法进行详细描述：For ease of understanding, the biometric self-learning method in the embodiment of the present invention is described in detail in an actual application scenario:
本实施例中，移动终端具有至少一个生物特征传感器，生物特征传感器可以用来采集用户的指纹、虹膜或者面部特征等。假设移动终端为上下班的打卡器，打卡器中具有基于指纹和虹膜的生物特征传感器。In this embodiment, the mobile terminal has at least one biometric sensor, and the biometric sensor can be used to collect the fingerprint, iris or facial features of the user. It is assumed that the mobile terminal is a punch card for commuting, and the card reader has a fingerprint and iris based biometric sensor.
在用户没有信息记录的情况下，打卡器开启设置模式，将用户的生物特征信息“指纹信息”及“虹膜信息”作为预录特征信息保存在特征信息库中，特征信息库中“指纹信息”及“虹膜信息”与公司的人数相当，即预录
生物特征信息存在多个。In the case that the user has no information record, the card reader opens the setting mode, and saves the biometric information “fingerprint information” and “iris information” of the user as pre-recorded feature information in the feature information database, and “fingerprint information” in the feature information database. And "Iris Information" is equal to the number of companies, that is, pre-recorded
There are multiple biometric information.
用户在上班打卡时，使用基于指纹的生物特征传感器，打卡器记录下用户按下的指纹，对指纹进行处理得到第一生物特征信息“指纹信息”，对“指纹信息”进行解析，获得生物特征类型为“指纹”，从特征信息库中提取出与指纹相关的多个预录生物特征信息，将这些预录生物特征信息和“指纹信息”进行对比，如果多个预录生物特征信息中有一个和“指纹信息”相同，则表示该用户为正式员工，记录下打卡时间；如果用户按压指纹的手指受到划伤使得指纹产生变化，或者使用其他手指进行按压，则多个预录生物特征信息没有一个和“指纹信息”相同，则表示打卡不通过。When the user punches the card, the fingerprint-based biometric sensor is used, the card reader records the fingerprint pressed by the user, processes the fingerprint to obtain the first biometric information “fingerprint information”, and parses the “fingerprint information” to obtain the biometric feature. The type is “fingerprint”, and multiple pre-recorded biometric information related to the fingerprint is extracted from the feature information database, and the pre-recorded biometric information is compared with “fingerprint information”, if there are multiple pre-recorded biometric information The same as "fingerprint information", it means that the user is a formal employee, recording the time of punching; if the finger of the user pressing the fingerprint is scratched to make the fingerprint change, or using other fingers to press, the plurality of pre-recorded biometric information If none of them is the same as "Fingerprint Information", it means that the punch card does not pass.
用户换成基于虹膜的生物特征传感器进行打卡，打卡器记录下用户的虹膜图片，对虹膜图片进行处理得到第二生物特征信息“虹膜信息”，对“虹膜信息”进行解析，获得生物特征类型为“虹膜”，从特征信息库中提取出与虹膜相关的多个预录生物特征信息，将多个预录生物特征信息和“虹膜信息”进行对比，如果相同，则表示该用户为正式员工，记录下打卡时间，并且将第一生物特征信息“指纹信息”作为该用户的预录生物特征信息，存入特征信息库中。The user replaces the iris-based biometric sensor to punch the card, the card reader records the iris image of the user, processes the iris image to obtain the second biometric information “Iris Information”, and analyzes the “Iris Information” to obtain the biometric type. "Iris", extracting a plurality of pre-recorded biometric information related to the iris from the feature information database, and comparing a plurality of pre-recorded biometric information with "Iris Information", if the same, the user is a formal employee. The punch time is recorded, and the first biometric information "fingerprint information" is stored as the pre-recorded biometric information of the user in the feature information database.
如果基于虹膜的生物特征传感器进行打卡的步骤没有通过，在打卡器存在更多类型的生物特征传感器的情况下，例如基于面部特征的生物特征传感器，可以切换到基于面部特征的生物特征传感器进行打卡，接收第三生物特征信息“面部特征信息”，或者发出提示信息，提示信息可以是提醒用户重新手动录入该用户的生物特征信息，或者发出警报。If the iris-based biometric sensor does not pass the punching step, in the case where the card reader has more types of biometric sensors, such as facial feature based biometric sensors, it is possible to switch to the facial feature based biometric sensor for punching Receiving the third biometric information “Face Feature Information” or issuing a prompt message, the prompt information may be to remind the user to manually enter the biometric information of the user, or issue an alarm.
需要说明的是，第一生物特征信息和第二生物特征信息可以为同一用户的不同手指的指纹或者左右眼睛的虹膜，生物特征除了指纹及虹膜还可以为其他，移动终端不仅限于包括两种生物特征传感器。It should be noted that the first biometric information and the second biometric information may be fingerprints of different fingers of the same user or irises of left and right eyes, and biometrics may be other than fingerprints and irises, and the mobile terminal is not limited to including two kinds of creatures. Feature sensor.
上面介绍了本发明实施例中的，下面介绍本发明实施例中的基于生物特征自学习方法，请参阅图2，本发明实施例中基于生物特征的移动终端的一个实施例包括：The embodiment of the present invention is described above. The biometric self-learning method in the embodiment of the present invention is described below. Referring to FIG. 2, an embodiment of the biometric-based mobile terminal in the embodiment of the present invention includes:
第一获取模块201，用于获取第一生物特征信息；
The first obtaining module 201 is configured to acquire first biometric information;
第一判断模块202，用于判断第一获取模块201获取到的第一生物特征信息是否与特征信息库中的任意一个预录生物特征信息相匹配；The first determining module 202 is configured to determine whether the first biometric information acquired by the first acquiring module 201 matches any one of the pre-recorded biometric information in the feature information database;
第二获取模块203，用于当第一判断模块202判断出第一生物特征信息与预录生物特征信息不匹配时，获取第二生物特征信息；The second obtaining module 203 is configured to: when the first determining module 202 determines that the first biometric information does not match the pre-recorded biometric information, acquire the second biometric information;
第二判断模块204，用于判断第二获取模块203获取到的第二生物特征信息是否与特征信息库中的任意一个预录生物特征信息相匹配；The second determining module 204 is configured to determine whether the second biometric information acquired by the second acquiring module 203 matches any one of the pre-recorded biometric information in the feature information database;
存储模块205，用于当第二判断模块204判断出第二生物特征信息与预录生物特征信息有一个相匹配时，将第一生物特征信息存入特征信息库中。The storage module 205 is configured to: when the second determining module 204 determines that the second biometric information matches one of the pre-recorded biometric information, the first biometric information is stored in the feature information database.
本发明实施例中，用户使用移动终端进行特征识别时，在第一生物特征信息匹配无法通过的情况下，使用第二生物特征信息进行匹配，如果第二生物特征信息通过匹配，则将第一生物特征信息存储到特征信息库，避免了用户需要再次手动录入第一生物特征信息，简化了用户操作。In the embodiment of the present invention, when the user uses the mobile terminal for feature recognition, if the first biometric information matching fails, the second biometric information is used for matching, and if the second biometric information is matched, the first The biometric information is stored in the feature information database, which avoids the user needing to manually enter the first biometric information again, which simplifies the user operation.
可选的，如图3所示，本发明的一些实施例中，基于生物特征的移动终端还包括：特征设置模块301；Optionally, as shown in FIG. 3, in some embodiments of the present invention, the biometric-based mobile terminal further includes: a feature setting module 301;
特征设置模块301，用于当处于设置模式下时，获取用户的预录生物特征信息，并将预录生物特征信息保存于特征信息库中。The feature setting module 301 is configured to acquire pre-recorded biometric information of the user when in the setting mode, and save the pre-recorded biometric information in the feature information database.
本发明实施例中，增加特征设置模块301在特征信息库中预录生物特征信息的设置步骤，使得方案更加完整。In the embodiment of the present invention, the step of setting the biometric information pre-recorded in the feature information database by the feature setting module 301 is added, so that the solution is more complete.
可选的，本发明的一些实施例中，Optionally, in some embodiments of the present invention,
第一判断模块202，具体用于对第一生物特征信息进行解析，获得生物特征类型；The first determining module 202 is specifically configured to parse the first biometric information to obtain a biometric type;
第一判断模块202，具体用于根据生物特征类型从特征信息库中提取出至少一个预录生物特征信息；The first determining module 202 is specifically configured to extract at least one pre-recorded biometric information from the feature information database according to the biometric type;
第一判断模块202，具体用于比较第一生物特征信息是否与预录生物特征信息有一个相同，若是，则第一生物特征信息与预录生物特征信息有一个相匹配；若否，则第一生物特征信息与预录生物特征信息不匹配。The first determining module 202 is specifically configured to compare whether the first biometric information is identical to the pre-recorded biometric information, and if so, the first biometric information and the pre-recorded biometric information have one match; if not, the first A biometric information does not match the pre-recorded biometric information.
本发明实施例中，第一判断模块202对判断生物特征信息是否与特征信息库中的任意一个预录生物特征信息相匹配的步骤进行细化，使得方案更加详细。
In the embodiment of the present invention, the first determining module 202 refines the step of determining whether the biometric information matches any one of the pre-recorded biometric information in the feature information database, so that the solution is more detailed.
可选的，如图3所示，本发明的一些实施例中，移动终端还包括：第一执行模块302；Optionally, as shown in FIG. 3, in some embodiments of the present invention, the mobile terminal further includes: a first execution module 302;
第一执行模块302，用于当第一生物特征信息与预录生物特征信息有一个相匹配时，执行预先设置的操作。The first execution module 302 is configured to perform a preset operation when the first biometric information matches one of the pre-recorded biometric information.
本发明实施例中，当第一生物特征信息与预录生物特征信息有一个相匹配时，第一执行模块302执行预先设置的操作，使得方案更加完善。In the embodiment of the present invention, when the first biometric information matches one of the pre-recorded biometric information, the first execution module 302 performs a preset operation, so that the solution is more perfect.
可选的，如图3所示，本发明的一些实施例中，移动终端还包括：第二执行模块303；Optionally, as shown in FIG. 3, in some embodiments of the present invention, the mobile terminal further includes: a second execution module 303;
第二执行模块303，用于当第二生物特征信息与预录生物特征信息不匹配时，接收第三生物特征信息或发出提示信息。The second execution module 303 is configured to receive the third biometric information or issue the prompt information when the second biometric information does not match the prerecorded biometric information.
本发明实施例中，当第二生物特征信息与预录生物特征信息都不匹配时，第二执行模块303执行预先设置的操作，使得方案更加完善。In the embodiment of the present invention, when the second biometric information does not match the pre-recorded biometric information, the second execution module 303 performs a preset operation, so that the solution is more perfect.
为便于理解，下面以一个具体应用场景对本发明实施例中基于生物特征的移动终端各模块之间的交互进行详细描述：For ease of understanding, the interaction between the modules of the biometric-based mobile terminal in the embodiment of the present invention is described in detail in a specific application scenario:
本实施例中，移动终端具有至少一个生物特征传感器，生物特征传感器可以用来采集用户的指纹、虹膜或者面部特征等。假设移动终端为上下班的打卡器，打卡器中具有基于指纹和虹膜的生物特征传感器。In this embodiment, the mobile terminal has at least one biometric sensor, and the biometric sensor can be used to collect the fingerprint, iris or facial features of the user. It is assumed that the mobile terminal is a punch card for commuting, and the card reader has a fingerprint and iris based biometric sensor.
如图3所示，在用户没有信息记录的情况下，特征设置模块301开启设置模式，存储模块205将用户的生物特征信息“指纹信息”及“虹膜信息”作为预录特征信息保存在特征信息库中，特征信息库中“指纹信息”及“虹膜信息”与公司的人数相当，即预录生物特征信息存在多个。As shown in FIG. 3, in the case that the user has no information record, the feature setting module 301 turns on the setting mode, and the storage module 205 stores the biometric information "fingerprint information" and "iris information" of the user as pre-recorded feature information in the feature information. In the library, the "fingerprint information" and "iris information" in the feature information database are equivalent to the number of companies, that is, there are multiple pre-recorded biometric information.
用户在上班打卡时，使用基于指纹的生物特征传感器，第一获取模块201记录下用户按下的指纹，对指纹进行处理得到第一生物特征信息“指纹信息”，第一判断模块202对“指纹信息”进行解析，获得生物特征类型为“指纹”，从特征信息库中提取出与指纹相关的多个预录生物特征信息，将这些预录生物特征信息和“指纹信息”进行对比，如果多个预录生物特征信息中有一个和“指纹信息”相同，则表示该用户为正式员工，第一执行模块302记录下打卡时间；如果用户按压指纹的手指受到划伤使得指纹产生变
化，或者使用其他手指进行按压，则多个预录生物特征信息没有一个和“指纹信息”相同，则表示打卡不通过。When the user punches the card, the fingerprint-based biometric sensor is used. The first acquiring module 201 records the fingerprint pressed by the user, processes the fingerprint to obtain the first biometric information “fingerprint information”, and the first determining module 202 pairs the “fingerprint”. The information is parsed to obtain the biometric type as “fingerprint”, and a plurality of pre-recorded biometric information related to the fingerprint are extracted from the feature information database, and the pre-recorded biometric information is compared with “fingerprint information”, if more One of the pre-recorded biometric information is the same as the "fingerprint information", indicating that the user is a formal employee, and the first execution module 302 records the punching time; if the user presses the fingerprint of the finger, the fingerprint is changed.
If the fingerprint is pressed or the other finger is pressed, if none of the plurality of pre-recorded biometric information is the same as the "fingerprint information", the punching does not pass.
用户换成基于虹膜的生物特征传感器进行打卡，第二获取模块203记录下用户的虹膜图片，对虹膜图片进行处理得到第二生物特征信息“虹膜信息”，第二判断模块204对“虹膜信息”进行解析，获得生物特征类型为“虹膜”，从特征信息库中提取出与虹膜相关的多个预录生物特征信息，将多个预录生物特征信息和“虹膜信息”进行对比，如果相同，则表示该用户为正式员工，记录下打卡时间，并且存储模块205将第一生物特征信息“指纹信息”作为该用户的预录生物特征信息，存入特征信息库中。The user switches to the iris-based biometric sensor for punching, the second obtaining module 203 records the iris image of the user, processes the iris image to obtain the second biometric information “Iris Information”, and the second determining module 204 pairs the “Iris Information”. Performing analysis to obtain a biometric type of "iris", extracting a plurality of pre-recorded biometric information related to the iris from the feature information database, and comparing the plurality of pre-recorded biometric information with "iris information", if the same, Then, the user is a formal employee, and the time of the card is recorded, and the storage module 205 stores the first biometric information “fingerprint information” as the pre-recorded biometric information of the user in the feature information database.
如果基于虹膜的生物特征传感器进行打卡的步骤没有通过，在打卡器存在更多类型的生物特征传感器的情况下，例如基于面部特征的生物特征传感器，第二执行模块303可以切换到基于面部特征的生物特征传感器进行打卡，接收第三生物特征信息“面部特征信息”，或者发出提示信息，提示信息可以是提醒用户重新手动录入该用户的生物特征信息，或者发出警报。If the step of punching by the iris-based biometric sensor fails, in the case where there are more types of biometric sensors in the card reader, such as facial feature based biometric sensors, the second execution module 303 can switch to facial feature based The biometric sensor performs punching, receives the third biometric information “facial feature information”, or issues a prompt message, which may prompt the user to manually enter the biometric information of the user or issue an alarm.
需要说明的是，第一生物特征信息和第二生物特征信息可以为同一用户的不同手指的指纹或者左右眼睛的虹膜，生物特征除了指纹及虹膜还可以为其他，移动终端不仅限于包括两种生物特征传感器。It should be noted that the first biometric information and the second biometric information may be fingerprints of different fingers of the same user or irises of left and right eyes, and biometrics may be other than fingerprints and irises, and the mobile terminal is not limited to including two kinds of creatures. Feature sensor.
所属领域的技术人员可以清楚地了解到，为描述的方便和简洁，上述描述的系统，装置和单元的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。A person skilled in the art can clearly understand that for the convenience and brevity of the description, the specific working process of the system, the device and the unit described above can refer to the corresponding process in the foregoing method embodiment, and details are not described herein again.
在本申请所提供的几个实施例中，应该理解到，所揭露的系统，装置和方法，可以通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如，所述单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，装置或单元的间接耦合或通信连接，可以是电性，机械或其它的形式。In the several embodiments provided by the present application, it should be understood that the disclosed system, apparatus, and method may be implemented in other manners. For example, the device embodiments described above are merely illustrative. For example, the division of the unit is only a logical function division. In actual implementation, there may be another division manner, for example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be in an electrical, mechanical or other form.
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作
为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。The units described as separate components may or may not be physically separate.
The components displayed for the unit may or may not be physical units, ie may be located in one place, or may be distributed over multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
另外，在本发明各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用软件功能单元的形式实现。In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.
所述集成的单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本发明的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的全部或部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行本发明各个实施例所述方法的全部或部分步骤。而前述的存储介质包括：U盘、移动硬盘、只读存储器(ROM，Read-Only Memory)、随机存取存储器(RAM，Random Access Memory)、磁碟或者光盘等各种可以存储程序代码的介质。The integrated unit, if implemented in the form of a software functional unit and sold or used as a standalone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention, which is essential or contributes to the prior art, or all or part of the technical solution, may be embodied in the form of a software product stored in a storage medium. A number of instructions are included to cause a computer device (which may be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and the like. .
以上所述，以上实施例仅用以说明本发明的技术方案，而非对其限制；尽管参照前述实施例对本发明进行了详细的说明，本领域的普通技术人员应当理解：其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分技术特征进行等同替换；而这些修改或者替换，并不使相应技术方案的本质脱离本发明各实施例技术方案的精神和范围。
The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to be limiting; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art will understand that The technical solutions described in the embodiments are modified, or the equivalents of the technical features are replaced by the equivalents of the technical solutions of the embodiments of the present invention.
Claims (10)
- 一种基于生物特征自学习方法，其特征在于，包括：A biometric self-learning method, comprising:获取第一生物特征信息；Obtaining first biometric information;判断所述第一生物特征信息是否与特征信息库中的任意一个预录生物特征信息相匹配；Determining whether the first biometric information matches any one of the pre-recorded biometric information in the feature information database;若所述第一生物特征信息与所述预录生物特征信息不匹配，则获取第二生物特征信息；If the first biometric information does not match the pre-recorded biometric information, acquiring second biometric information;判断所述第二生物特征信息是否与所述特征信息库中的任意一个所述预录生物特征信息相匹配；Determining whether the second biometric information matches any one of the pre-recorded biometric information in the feature information database;若所述第二生物特征信息与所述预录生物特征信息有一个相匹配，则将所述第一生物特征信息存入所述特征信息库中。And if the second biometric information matches one of the pre-recorded biometric information, the first biometric information is stored in the feature information database.
- 根据权利要求1所述的方法，其特征在于，所述获取第一生物特征信息之前，还包括：The method according to claim 1, wherein before the acquiring the first biometric information, the method further comprises:当处于设置模式下时，获取用户的预录生物特征信息，并将所述预录生物特征信息保存于所述特征信息库中。When in the setting mode, the pre-recorded biometric information of the user is acquired, and the pre-recorded biometric information is saved in the feature information database.
- 根据权利要求1所述的方法，其特征在于，所述判断所述第一生物特征信息是否与所述特征信息库中的任意一个所述预录生物特征信息相匹配包括：The method according to claim 1, wherein the determining whether the first biometric information matches any one of the pre-recorded biometric information in the feature information database comprises:对所述第一生物特征信息进行解析，获得生物特征类型；Parsing the first biometric information to obtain a biometric type;根据所述生物特征类型从所述特征信息库中提取出至少一个预录生物特征信息；Extracting at least one pre-recorded biometric information from the feature information database according to the biometric type;比较所述第一生物特征信息是否与所述预录生物特征信息有一个相同，若是，则所述第一生物特征信息与所述预录生物特征信息有一个相匹配；若否，则所述第一生物特征信息与所述预录生物特征信息不匹配。Comparing whether the first biometric information is identical to the pre-recorded biometric information, and if so, the first biometric information matches one of the pre-recorded biometric information; if not, the The first biometric information does not match the pre-recorded biometric information.
- 根据权利要求1或2所述的方法，其特征在于，所述方法还包括：The method according to claim 1 or 2, wherein the method further comprises:若所述第一生物特征信息与所述预录生物特征信息有一个相匹配，则执行预先设置的操作。If the first biometric information matches one of the pre-recorded biometric information, a preset operation is performed.
- 根据权利要求1至4中任一项所述的方法，其特征在于，所述方法还包括： The method according to any one of claims 1 to 4, further comprising:若所述第二生物特征信息与所述预录生物特征信息不匹配，则接收第三生物特征信息或发出提示信息。And if the second biometric information does not match the pre-recorded biometric information, receiving the third biometric information or issuing the prompt information.
- 一种基于生物特征的移动终端，其特征在于，包括：A biometric-based mobile terminal, comprising:第一获取模块，用于获取第一生物特征信息；a first acquiring module, configured to acquire first biometric information;第一判断模块，用于判断所述第一生物特征信息是否与特征信息库中的任意一个预录生物特征信息相匹配；a first determining module, configured to determine whether the first biometric information matches any one of the pre-recorded biometric information in the feature information database;第二获取模块，用于当所述第一生物特征信息与所述预录生物特征信息不匹配时，获取第二生物特征信息；a second acquiring module, configured to acquire second biometric information when the first biometric information does not match the pre-recorded biometric information;第二判断模块，用于判断所述第二生物特征信息是否与所述特征信息库中的任意一个所述预录生物特征信息相匹配；a second determining module, configured to determine whether the second biometric information matches any one of the pre-recorded biometric information in the feature information database;存储模块，用于当所述第二生物特征信息与所述预录生物特征信息有一个相匹配时，将所述第一生物特征信息存入所述特征信息库中。And a storage module, configured to store the first biometric information in the feature information database when the second biometric information matches one of the pre-recorded biometric information.
- 根据权利要求6所述的移动终端，其特征在于，所述移动终端还包括：特征设置模块；The mobile terminal according to claim 6, wherein the mobile terminal further comprises: a feature setting module;所述特征设置模块，用于当处于设置模式下时，获取用户的预录生物特征信息，并将所述预录生物特征信息保存于所述特征信息库中。The feature setting module is configured to acquire pre-recorded biometric information of the user when in the setting mode, and save the pre-recorded biometric information in the feature information database.
- 根据权利要求6所述的移动终端，其特征在于，The mobile terminal of claim 6, wherein所述第一判断模块，具体用于对所述第一生物特征信息进行解析，获得生物特征类型；The first determining module is specifically configured to parse the first biometric information to obtain a biometric type;所述第一判断模块，具体用于根据所述生物特征类型从所述特征信息库中提取出至少一个预录生物特征信息；The first determining module is specifically configured to extract at least one pre-recorded biometric information from the feature information database according to the biometric type;所述第一判断模块，具体用于比较所述第一生物特征信息是否与所述预录生物特征信息有一个相同，若是，则所述第一生物特征信息与所述预录生物特征信息有一个相匹配；若否，则所述第一生物特征信息与所述预录生物特征信息不匹配。The first determining module is specifically configured to compare whether the first biometric information is identical to the pre-recorded biometric information, and if yes, the first biometric information and the pre-recorded biometric information are One matches; if not, the first biometric information does not match the pre-recorded biometric information.
- 根据权利要求6或7所述的移动终端，其特征在于，所述移动终端还包括：第一执行模块；The mobile terminal according to claim 6 or 7, wherein the mobile terminal further comprises: a first execution module;所述第一执行模块，用于当所述第一生物特征信息与所述预录生物特征信息有一个相匹配时，执行预先设置的操作。 The first execution module is configured to perform a preset operation when the first biometric information matches one of the pre-recorded biometric information.
- 根据权利要求6至9中任一项所述的移动终端，其特征在于，所述移动终端还包括：第二执行模块；The mobile terminal according to any one of claims 6 to 9, wherein the mobile terminal further comprises: a second execution module;所述第二执行模块，用于当所述第二生物特征信息与所述预录生物特征信息不匹配时，接收第三生物特征信息或发出提示信息。 The second execution module is configured to receive the third biometric information or issue the prompt information when the second biometric information does not match the prerecorded biometric information.
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| CN101231692A (en) * | 2007-12-24 | 2008-07-30 | 浙江金指码科技有限公司 | Learning type intellectual fingerprint identification comparison method adjusted by fingerprint eigenvalue |
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| CN101231691A (en) * | 2007-12-24 | 2008-07-30 | 浙江金指码科技有限公司 | Learning type intellectual fingerprint identification comparison method adjusted based on fingerprint data quantity |
| CN101499130B (en) * | 2008-01-30 | 2012-06-27 | 深圳市普罗巴克科技股份有限公司 | Fingerprint recognition method and fingerprint recognition system |
| CN102708360A (en) * | 2012-05-09 | 2012-10-03 | 深圳市亚略特生物识别科技有限公司 | Method for generating and automatically updating fingerprint template |
| CN102693420B (en) * | 2012-05-25 | 2014-09-17 | 深圳市亚略特生物识别科技有限公司 | Automatic updating method for fingerprint template |
| CN103020615A (en) * | 2012-12-14 | 2013-04-03 | 青岛鲁强科教服务有限公司 | Fingerprint recording device |
| CN103077379A (en) * | 2012-12-17 | 2013-05-01 | 青岛鲁强科教服务有限公司 | Fingerprint input method |
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| US20080077359A1 (en) * | 2006-09-22 | 2008-03-27 | Fujitsu Limited | Biometric authentication device |
| CN101231692A (en) * | 2007-12-24 | 2008-07-30 | 浙江金指码科技有限公司 | Learning type intellectual fingerprint identification comparison method adjusted by fingerprint eigenvalue |
| CN202548924U (en) * | 2012-03-28 | 2012-11-21 | 天津市荣浩科技发展有限公司 | Novel punch machine |
| CN103942334A (en) * | 2014-05-06 | 2014-07-23 | 上海云享科技有限公司 | User biological characteristic database updating method and device |
| CN104281836A (en) * | 2014-09-12 | 2015-01-14 | 东北大学 | Biometric feature recognition system and method |
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| CN105631283A (en) | 2016-06-01 |
| CN105631283B (en) | 2019-03-26 |
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