CN105631283B - One kind being based on biological characteristic self-learning method and mobile terminal - Google Patents

One kind being based on biological characteristic self-learning method and mobile terminal Download PDF

Info

Publication number
CN105631283B
CN105631283B CN201510466307.5A CN201510466307A CN105631283B CN 105631283 B CN105631283 B CN 105631283B CN 201510466307 A CN201510466307 A CN 201510466307A CN 105631283 B CN105631283 B CN 105631283B
Authority
CN
China
Prior art keywords
biological information
information
biological
recording
characteristic
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201510466307.5A
Other languages
Chinese (zh)
Other versions
CN105631283A (en
Inventor
曹义
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Yulong Computer Telecommunication Scientific Shenzhen Co Ltd
Original Assignee
Yulong Computer Telecommunication Scientific Shenzhen Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Yulong Computer Telecommunication Scientific Shenzhen Co Ltd filed Critical Yulong Computer Telecommunication Scientific Shenzhen Co Ltd
Priority to CN201510466307.5A priority Critical patent/CN105631283B/en
Priority to PCT/CN2015/088484 priority patent/WO2017020383A1/en
Publication of CN105631283A publication Critical patent/CN105631283A/en
Application granted granted Critical
Publication of CN105631283B publication Critical patent/CN105631283B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/30Authentication, i.e. establishing the identity or authorisation of security principals
    • G06F21/31User authentication
    • G06F21/32User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints

Abstract

The embodiment of the invention discloses one kind to be based on biological characteristic self-learning method and mobile terminal, for solving user after the first biological characteristic changes, mobile terminal is under the auxiliary of the second biological characteristic automatically by new the first biological information storage to characteristic information library, it avoids and is manually entered biological information again, simplify user's operation.The method comprise the steps that obtaining the first biological information;Judge whether the first biological information matches with any one biological information of pre-recording in characteristic information library;If the first biological information and biological information of pre-recording all mismatch, the second biological information is obtained;Judge whether the second biological information matches with any one biological information of pre-recording in characteristic information library;If the second biological information has one to match with biological information of pre-recording, the first biological information is stored in characteristic information library.

Description

One kind being based on biological characteristic self-learning method and mobile terminal
Technical field
The present invention relates to terminal applies fields, more particularly to one kind to be based on biological characteristic self-learning method and mobile terminal.
Background technique
Based on the terminal of biological characteristic sensing, it is widely used in terminal unlocking, secure payment, privacy mode and double systems The fields such as system contain at least one biosensor in terminal, and for obtaining the biological characteristic of user, biological characteristic can refer to Line, facial characteristics or iris etc..
A kind of existing user identification method based on biological characteristic is the preparatory typing biological characteristic of user, such as fingerprint Information saves finger print information in the database, later in use, user obtains fingerprint in fingerprint sensor pressing finger Current finger print information is compared information with the finger print information in database, and if there is identical, then the user passes through knowledge Not;If the user does not pass through identification without identical.
But when the biological characteristic of the preparatory typing of user changes, as the finger of first time typing finger print information exists Injured later, so that fingerprint damage, terminal will be unable to identify the user, and the new biological characteristic of typing again needs to expend Time and efforts.
Summary of the invention
The embodiment of the invention provides one kind to be based on biological characteristic self-learning method and mobile terminal, exists for solving user After first biological characteristic changes, mobile terminal automatically believes the first new biological characteristic under the auxiliary of the second biological characteristic Characteristic information library is arrived in breath storage, is avoided and is manually entered biological information again, simplifies user's operation.
In view of this first aspect present invention provides a kind of based on biological characteristic self-learning method, comprising:
Obtain the first biological information;
Judge first biological information whether with any one biological information of pre-recording in characteristic information library Match;
If first biological information and the biological information mismatch of pre-recording, obtain the second biological characteristic Information;
Judge second biological information whether with any one of biology of pre-recording in the characteristic information library Characteristic information matches;
If second biological information has one to match with the biological information of pre-recording, by described first Biological information is stored in the characteristic information library.
In conjunction with first aspect present invention, in first aspect present invention first embodiment, the first biological characteristic of the acquisition Before information, further includes:
When under Setting pattern, the biological information of pre-recording of user is obtained, and the biological characteristic of pre-recording is believed Breath is stored in the characteristic information library.
In conjunction with first aspect present invention, in first aspect present invention second embodiment, judgement first biology Whether characteristic information matches with any one of biological information of pre-recording in the characteristic information library
First biological information is parsed, biological characteristic type is obtained;
At least one biological information of pre-recording is extracted from the characteristic information library according to the biological characteristic type;
Compare first biological information whether with the biological information of pre-recording have one it is identical, if so, First biological information has one to match with the biological information of pre-recording;If it is not, then first biology is special Reference breath and the biological information mismatch of pre-recording.
In conjunction with first aspect present invention or first aspect present invention first embodiment, first aspect present invention third is implemented In mode, the method also includes:
If first biological information has one to match with the biological information of pre-recording, execution is set in advance The operation set.
Implement in conjunction with first aspect present invention, first aspect present invention first embodiment, first aspect present invention second Mode or first aspect present invention third embodiment, in the 4th embodiment of first aspect present invention, the method also includes:
If second biological information and the biological information of pre-recording all mismatch, it is special to receive third biology Reference breath issues prompt information.
Second aspect of the present invention provides a kind of mobile terminal based on biological characteristic, comprising:
First obtains module, for obtaining the first biological information;
First judgment module, for judge first biological information whether with any one in characteristic information library Biological information of pre-recording matches;
Second obtains module, for mismatching when first biological information and the biological information of pre-recording When, obtain the second biological information;
Second judgment module, for judge second biological information whether with it is any in the characteristic information library Biological information of pre-recording described in one matches;
Memory module, for thering is one to match with the biological information of pre-recording when second biological information When, first biological information is stored in the characteristic information library.
In conjunction with second aspect of the present invention, in second aspect of the present invention first embodiment, the mobile terminal further include: special Levy setup module;
The feature setup module, for obtaining the biological information of pre-recording of user when under Setting pattern, and The biological information of pre-recording is stored in the characteristic information library.
In conjunction with second aspect of the present invention, in second aspect of the present invention second embodiment,
The first judgment module obtains biological characteristic specifically for parsing to first biological information Type;
The first judgment module, specifically for being extracted from the characteristic information library according to the biological characteristic type At least one biological information of pre-recording;
The first judgment module, it is whether special with the biology of pre-recording specifically for first biological information It is identical that reference breath has one, if so, first biological information has a phase with the biological information of pre-recording Match;If it is not, then first biological information and the biological information of pre-recording mismatch.
In conjunction with second aspect of the present invention or second aspect of the present invention first embodiment, second aspect of the present invention third is implemented In mode, the mobile terminal further include: the first execution module;
First execution module, for having one when first biological information and the biological information of pre-recording It is a when matching, execute pre-set operation.
Implement in conjunction with second aspect of the present invention, second aspect of the present invention first embodiment, second aspect of the present invention second Mode or second aspect of the present invention third embodiment, in the 4th embodiment of second aspect of the present invention, the mobile terminal is also It include: the second execution module;
Second execution module, for when second biological information and described pre-recording biological information not When matching, receives third biological information or issue prompt information.
As can be seen from the above technical solutions, the embodiment of the present invention has the advantage that
When user carries out feature identification using mobile terminal, the case where the first biometric information matches can not pass through Under, it is matched using the second biological information, if the second biological information passes through matching, by the first biological characteristic Information is stored to characteristic information library, is avoided user and is needed to be manually entered the first biological information again, and user behaviour is simplified Make.
Detailed description of the invention
Technical solution in order to illustrate the embodiments of the present invention more clearly, below will be to institute in embodiment and description of the prior art Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention Example, for those of ordinary skill in the art, without creative efforts, can also obtain according to these attached drawings Obtain other attached drawings.
Fig. 1 is one embodiment schematic diagram based on biological characteristic self-learning method in the embodiment of the present invention;
Fig. 2 is one embodiment schematic diagram of the mobile terminal based on biological characteristic in the embodiment of the present invention;
Fig. 3 is another embodiment schematic diagram of the mobile terminal based on biological characteristic in the embodiment of the present invention.
Specific embodiment
The embodiment of the invention provides one kind to be based on biological characteristic self-learning method and mobile terminal, exists for solving user After first biological characteristic changes, mobile terminal automatically believes the first new biological characteristic under the auxiliary of the second biological characteristic Characteristic information library is arrived in breath storage, is avoided and is manually entered biological information again, simplifies user's operation.
In order to enable those skilled in the art to better understand the solution of the present invention, below in conjunction in the embodiment of the present invention Attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is only The embodiment of a part of the invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill people The model that the present invention protects all should belong in member's every other embodiment obtained without making creative work It encloses.
Below by specific embodiment, it is described in detail respectively.
Referring to Fig. 1, the embodiment of the present invention provides one kind based on biological characteristic self-learning method, comprising:
101, the first biological information is obtained;
In the embodiment of the present invention, user carries out living things feature recognition, the first biology of acquisition for mobile terminal using mobile terminal Characteristic information.
102, judge the first biological information whether with any one biological information of pre-recording in characteristic information library Match, if it is not, thening follow the steps 103;
In the embodiment of the present invention, the first biological information for getting of mobile terminal judgement whether in characteristic information library Any one biological information of pre-recording match, if the first biological information and pre-recording biological information not Match, thens follow the steps 103.
103, the second biological information is obtained;
In the embodiment of the present invention, when the first biological information and biological information of pre-recording all mismatch, Yong Huzai It is secondary to use mobile terminal, the second biological information of acquisition for mobile terminal.
104, judge the second biological information whether with any one biological information of pre-recording in characteristic information library Match, if so, thening follow the steps 105;
In the embodiment of the present invention, the second biological information for getting of mobile terminal judgement whether in characteristic information library Any one biological information of pre-recording match, if the second biological information has a phase with biological information of pre-recording Matching, thens follow the steps 105.
105, the first biological information is stored in characteristic information library.
In the embodiment of the present invention, when the second biological information and pre-record biological information have one match when, move First biological information is stored in characteristic information library by dynamic terminal, as new biological information of pre-recording.
In the embodiment of the present invention, when user carries out feature identification using mobile terminal, in the first biometric information matches It can not be matched in the case where using the second biological information, if the second biological information passes through matching, By the first biological information storage to characteristic information library, avoids user and need to be manually entered the first biological characteristic letter again Breath, simplifies user's operation.
Optionally, in some embodiments of the present invention, before the first biological information of acquisition, further includes:
When under Setting pattern, the biological information of pre-recording of user is obtained, and the biological information guarantor that will pre-record It is stored in characteristic information library.
In the embodiment of the present invention, increase the setting steps for biological information of pre-recording in characteristic information library, so that scheme is more It adds whole.
Optionally, in some embodiments of the present invention, judge the first biological information whether in characteristic information library Any one biological information of pre-recording, which matches, includes:
First biological information is parsed, biological characteristic type is obtained;
At least one biological information of pre-recording is extracted from characteristic information library according to biological characteristic type;
Compare the first biological information whether with biological information of pre-recording have one it is identical, if so, first biology Characteristic information has one to match with biological information of pre-recording;If it is not, then the first biological information and pre-recording biological characteristic Information all mismatches.
In the embodiment of the present invention, to judge biological information whether with any one biology of pre-recording in characteristic information library The step of characteristic information matches is refined, so that scheme is in further detail.
Optionally, in some embodiments of the present invention, further includes:
If the first biological information has one to match with biological information of pre-recording, pre-set behaviour is executed Make.
In the embodiment of the present invention, increase the first biological information with pre-record biological information have one match when Step, so that scheme is more perfect.
Optionally, in some embodiments of the present invention, further includes:
If the second biological information and biological information mismatch of pre-recording, receive third biological information or hair Prompt information out.
In the embodiment of the present invention, the step of increase when the second biological information is mismatched with biological information of pre-recording, So that scheme is more perfect.
For ease of understanding, below with a practical application scene in the embodiment of the present invention be based on biological characteristic self study side Method is described in detail:
In the present embodiment, mobile terminal has at least one biometric sensor, and biometric sensor can be used to Acquire fingerprint, iris or the facial characteristics etc. of user.Assuming that mobile terminal is reading card device on and off duty, there is base in reading card device In the biometric sensor of fingerprint and iris.
In the case where user does not have information record, reading card device opens Setting pattern, and the biological information of user " is referred to Line information " and " iris information " are stored in characteristic information library as characteristic information of pre-recording, in characteristic information library " finger print information " And " iris information " is suitable with the number of company, that is, there are multiple for biological information of pre-recording.
User is when working is checked card, and using the biometric sensor based on fingerprint, reading card device records what user pressed Fingerprint handles fingerprint to obtain the first biological information " finger print information ", parses, given birth to " finger print information " Object characteristic type is " fingerprint ", multiple biological informations of pre-recording relevant to fingerprint is extracted from characteristic information library, by this It pre-records biological information and " finger print information " compares, if having one in multiple biological informations of pre-recording and " referring to Line information " is identical, then it represents that the user is formal employee, records the time of checking card;If user press fingerprint finger by Scratch so that fingerprint generates variation, or pressed using other fingers, then it is multiple pre-record biological information none " finger print information " is identical, then it represents that checks card and does not pass through.
User changes the biometric sensor based on iris into and checks card, and reading card device records the iris picture of user, Iris picture is handled to obtain the second biological information " iris information ", " iris information " is parsed, is given birth to Object characteristic type is " iris ", and multiple biological informations of pre-recording relevant to iris are extracted from characteristic information library, will be more A biological information and " iris information " of pre-recording compares, if identical, then it represents that the user is formal employee, is recorded It checks card the time, and the biological information of pre-recording by the first biological information " finger print information " as the user, deposit is special It levies in information bank.
If the step of biometric sensor based on iris is checked card is not in reading card device in the presence of more multiclass In the case where the biometric sensor of type, such as the biometric sensor based on facial characteristics, it can be switched to based on face The biometric sensor of portion's feature is checked card, and is received third biological information " face feature information ", or is issued and mentioned Show information, prompt information, which can be, reminds user to be manually entered the biological information of the user again, or sounds an alarm.
It should be noted that the first biological information and the second biological information can be the different hands of same user The fingerprint of finger or the iris of left and right eye, biological characteristic can also be other in addition to fingerprint and iris, and mobile terminal not only limits In including two kinds of biometric sensors.
Be described above in the embodiment of the present invention, be described below in the embodiment of the present invention based on biological characteristic self study Method, referring to Fig. 2, one embodiment of the mobile terminal in the embodiment of the present invention based on biological characteristic includes:
First obtains module 201, for obtaining the first biological information;
First judgment module 202, for judge first the first biological information for getting of acquisition module 201 whether with Any one biological information of pre-recording in characteristic information library matches;
Second obtains module 203, for judging the first biological information and biology of pre-recording when first judgment module 202 When characteristic information mismatches, the second biological information is obtained;
Second judgment module 204, for judge second the second biological information for getting of acquisition module 203 whether with Any one biological information of pre-recording in characteristic information library matches;
Memory module 205, for judging the second biological information and biological characteristic of pre-recording when the second judgment module 204 Information has one when matching, and the first biological information is stored in characteristic information library.
In the embodiment of the present invention, when user carries out feature identification using mobile terminal, in the first biometric information matches It can not be matched in the case where using the second biological information, if the second biological information passes through matching, By the first biological information storage to characteristic information library, avoids user and need to be manually entered the first biological characteristic letter again Breath, simplifies user's operation.
Optionally, as shown in figure 3, in some embodiments of the present invention, the mobile terminal based on biological characteristic further include: special Levy setup module 301;
Feature setup module 301, for obtaining the biological information of pre-recording of user when under Setting pattern, and The biological information that will pre-record is stored in characteristic information library.
In the embodiment of the present invention, increases feature setup module 301 and pre-record in characteristic information library the setting of biological information Step is set, so that scheme is more complete.
Optionally, in some embodiments of the present invention,
First judgment module 202 obtains biological characteristic type specifically for parsing to the first biological information;
First judgment module 202, specifically for extracting at least one from characteristic information library according to biological characteristic type It pre-records biological information;
First judgment module 202, specifically for comparing whether the first biological information has with biological information of pre-recording One identical, if so, the first biological information has one to match with biological information of pre-recording;If it is not, then the first life Object characteristic information and biological information mismatch of pre-recording.
In the embodiment of the present invention, 202 pairs of first judgment module judge biological information whether in characteristic information library The step of any one biological information of pre-recording matches is refined, so that scheme is in further detail.
Optionally, as shown in figure 3, in some embodiments of the present invention, mobile terminal further include: the first execution module 302;
First execution module 302, for thering is one to match with biological information of pre-recording when the first biological information When, execute pre-set operation.
In the embodiment of the present invention, when the first biological information and biological information of pre-recording have one match when, the One execution module 302 executes pre-set operation, so that scheme is more perfect.
Optionally, as shown in figure 3, in some embodiments of the present invention, mobile terminal further include: the second execution module 303;
Second execution module 303, for receiving when the second biological information is mismatched with biological information of pre-recording Third biological information issues prompt information.
In the embodiment of the present invention, when the second biological information and biological information of pre-recording all mismatch, second is held Row module 303 executes pre-set operation, so that scheme is more perfect.
For ease of understanding, below with a concrete application scene to the mobile end in the embodiment of the present invention based on biological characteristic The interaction between each module is held to be described in detail:
In the present embodiment, mobile terminal has at least one biometric sensor, and biometric sensor can be used to Acquire fingerprint, iris or the facial characteristics etc. of user.Assuming that mobile terminal is reading card device on and off duty, there is base in reading card device In the biometric sensor of fingerprint and iris.
As shown in figure 3, feature setup module 301 opens Setting pattern, storage in the case where user does not have information record The biological information " finger print information " of user and " iris information " are stored in feature letter as characteristic information of pre-recording by module 205 It ceases in library, " finger print information " and " iris information " is suitable with the number of company in characteristic information library, that is, biological information of pre-recording There are multiple.
User is when working is checked card, and using the biometric sensor based on fingerprint, the first acquisition module 201 records use The fingerprint that family is pressed handles fingerprint to obtain the first biological information " finger print information ", and first judgment module 202 is right " finger print information " is parsed, and obtaining biological characteristic type is " fingerprint ", is extracted from characteristic information library relevant to fingerprint Multiple biological informations of pre-recording compare these pre-record biological information and " finger print informations ", if multiple pre-record Have in biological information one and " finger print information " it is identical, then it represents that the user be formal employee, the first execution module 302 note It checks card the time under record;If the finger that user presses fingerprint is scratched so that fingerprint generates variation, or uses other fingers It is pressed, then multiple biological information none and " finger print informations " of pre-recording are identical, then it represents that check card and do not pass through.
User changes the biometric sensor based on iris into and checks card, and the second acquisition module 203 records user's Iris picture is handled to obtain the second biological information " iris information " to iris picture, and the second judgment module 204 is right " iris information " is parsed, and obtaining biological characteristic type is " iris ", is extracted from characteristic information library relevant to iris Multiple biological informations of pre-recording compare multiple biological information and " iris informations " of pre-recording, if identical, table Show that the user is formal employee, record the time of checking card, and memory module 205 is by the first biological information " finger print information " As the biological information of pre-recording of the user, it is stored in characteristic information library.
If the step of biometric sensor based on iris is checked card is not in reading card device in the presence of more multiclass In the case where the biometric sensor of type, such as the biometric sensor based on facial characteristics, the second execution module 303 can It is checked card with being switched to the biometric sensor based on facial characteristics, receives third biological information " facial characteristics letter Breath ", or prompt information is issued, prompt information can be the biological information for reminding user to be manually entered the user again, Or it sounds an alarm.
It should be noted that the first biological information and the second biological information can be the different hands of same user The fingerprint of finger or the iris of left and right eye, biological characteristic can also be other in addition to fingerprint and iris, and mobile terminal not only limits In including two kinds of biometric sensors.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description, The specific work process of device and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In several embodiments provided herein, it should be understood that disclosed system, device and method can be with It realizes by another way.For example, the apparatus embodiments described above are merely exemplary, for example, the unit It divides, only a kind of logical function partition, there may be another division manner in actual implementation, such as multiple units or components It can be combined or can be integrated into another system, or some features can be ignored or not executed.Another point, it is shown or The mutual coupling, direct-coupling or communication connection discussed can be through some interfaces, the indirect coupling of device or unit It closes or communicates to connect, can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme 's.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list Member both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product When, it can store in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially The all or part of the part that contributes to existing technology or the technical solution can be in the form of software products in other words It embodies, which is stored in a storage medium, including some instructions are used so that a computer Equipment (can be personal computer, server or the network equipment etc.) executes the complete of each embodiment the method for the present invention Portion or part steps.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic or disk etc. are various can store journey The medium of sequence code.
The above, the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations;Although referring to before Stating embodiment, invention is explained in detail, those skilled in the art should understand that: it still can be to preceding Technical solution documented by each embodiment is stated to modify or equivalent replacement of some of the technical features;And these It modifies or replaces, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution.

Claims (10)

1. one kind is based on biological characteristic self-learning method characterized by comprising
Obtain the first biological information of user;
Judge whether first biological information pre-records biological information phase with any one in characteristic information library Match;
If first biological information and the biological information mismatch of pre-recording, obtain the user second are raw Object characteristic information;
Judge second biological information whether with any one of biological characteristic of pre-recording in the characteristic information library Information matches;
If second biological information has one to match with the biological information of pre-recording, by first biology Characteristic information is stored in the characteristic information library.
2. the method according to claim 1, wherein before the first biological information of the acquisition, further includes:
When under Setting pattern, the biological information of pre-recording of user is obtained, and the biological information of pre-recording is protected It is stored in the characteristic information library.
3. the method according to claim 1, wherein it is described judge first biological information whether with institute It states any one of biological information of pre-recording in characteristic information library and matches and include:
First biological information is parsed, biological characteristic type is obtained;
At least one biological information of pre-recording is extracted from the characteristic information library according to the biological characteristic type;
Compare first biological information whether with the biological information of pre-recording have one it is identical, if so, described First biological information has one to match with the biological information of pre-recording;If it is not, then first biological characteristic is believed Breath and the biological information mismatch of pre-recording.
4. method according to claim 1 or 2, which is characterized in that the method also includes:
If first biological information has one to match with the biological information of pre-recording, execute pre-set Operation.
5. according to the method in any one of claims 1 to 3, which is characterized in that the method also includes:
If second biological information and the biological information mismatch of pre-recording, receive third biological information Or issue prompt information.
6. a kind of mobile terminal based on biological characteristic characterized by comprising
First obtains module, for obtaining the first biological information of user;
First judgment module, for judging whether first biological information pre-records with any one in characteristic information library Biological information matches;
Second obtains module, for obtaining when first biological information is mismatched with the biological information of pre-recording Take the second biological information of the user;
Second judgment module, for judge second biological information whether with any one in the characteristic information library The biological information of pre-recording matches;
Memory module, for when second biological information and the biological information of pre-recording have one match when, First biological information is stored in the characteristic information library.
7. mobile terminal according to claim 6, which is characterized in that the mobile terminal further include: feature setup module;
The feature setup module, for when under the Setting pattern, obtaining the biological information of pre-recording of user, and by institute Biological information of pre-recording is stated to be stored in the characteristic information library.
8. mobile terminal according to claim 6, which is characterized in that
The first judgment module obtains biological characteristic type specifically for parsing to first biological information;
The first judgment module, specifically for being extracted at least from the characteristic information library according to the biological characteristic type One biological information of pre-recording;
The first judgment module, specifically for first biological information whether with it is described pre-record biological characteristic letter It is identical that breath has one, if so, first biological information has one to match with the biological information of pre-recording;If No, then first biological information and the biological information of pre-recording mismatch.
9. mobile terminal according to claim 6 or 7, which is characterized in that the mobile terminal further include: first executes mould Block;
First execution module, for having a phase with the biological information of pre-recording when first biological information When matching, pre-set operation is executed.
10. the mobile terminal according to any one of claim 6 to 8, which is characterized in that the mobile terminal further include: Second execution module;
Second execution module, for being mismatched when second biological information and the biological information of pre-recording When, it receives third biological information or issues prompt information.
CN201510466307.5A 2015-07-31 2015-07-31 One kind being based on biological characteristic self-learning method and mobile terminal Active CN105631283B (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN201510466307.5A CN105631283B (en) 2015-07-31 2015-07-31 One kind being based on biological characteristic self-learning method and mobile terminal
PCT/CN2015/088484 WO2017020383A1 (en) 2015-07-31 2015-08-30 Self-learning method based on biological characteristic and mobile terminal

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510466307.5A CN105631283B (en) 2015-07-31 2015-07-31 One kind being based on biological characteristic self-learning method and mobile terminal

Publications (2)

Publication Number Publication Date
CN105631283A CN105631283A (en) 2016-06-01
CN105631283B true CN105631283B (en) 2019-03-26

Family

ID=56046209

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510466307.5A Active CN105631283B (en) 2015-07-31 2015-07-31 One kind being based on biological characteristic self-learning method and mobile terminal

Country Status (2)

Country Link
CN (1) CN105631283B (en)
WO (1) WO2017020383A1 (en)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107274188A (en) * 2017-06-21 2017-10-20 联想(北京)有限公司 The verification method and device of payment data
WO2019000957A1 (en) * 2017-06-27 2019-01-03 上海爱优威软件开发有限公司 Iris recognition security system and method
CN107506629B (en) * 2017-07-28 2020-02-14 Oppo广东移动通信有限公司 Unlocking control method and related product
CN108846913A (en) * 2018-06-25 2018-11-20 江苏优泰智能科技有限公司 A kind of system control method preventing allograph to reading card device
CN109916017A (en) * 2019-03-08 2019-06-21 广东美的制冷设备有限公司 Control method, air conditioner, intelligent mobile terminal and the storage medium of air conditioner

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
CN101499130A (en) * 2008-01-30 2009-08-05 深圳市普罗巴克科技股份有限公司 Fingerprint recognition method and fingerprint recognition system
CN102693420A (en) * 2012-05-25 2012-09-26 深圳市亚略特生物识别科技有限公司 Automatic updating method for fingerprint template
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
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
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

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4923910B2 (en) * 2006-09-22 2012-04-25 富士通株式会社 Biometric authentication device, control method, and control program
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
CN104281836B (en) * 2014-09-12 2019-01-15 东北大学 A kind of living creature characteristic recognition system and method

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
CN101499130A (en) * 2008-01-30 2009-08-05 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
CN102693420A (en) * 2012-05-25 2012-09-26 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
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

Also Published As

Publication number Publication date
WO2017020383A1 (en) 2017-02-09
CN105631283A (en) 2016-06-01

Similar Documents

Publication Publication Date Title
CN105631283B (en) One kind being based on biological characteristic self-learning method and mobile terminal
CN105654027B (en) A kind of method and device of fingerprint recognition
CN105447454B (en) Fingerprint template improving method, device and terminal device
CN102890776B (en) The method that expression figure explanation is transferred by facial expression
CN108229260B (en) Identity information verification method and system
CN104036175A (en) Fingerprint registration method and method and terminal for executing operation according to fingerprint combination sequence
CN109903474A (en) A kind of intelligence based on recognition of face opens cabinet method and device
JP2014083452A (en) Biological identification
CN108614987A (en) The method, apparatus and robot of data processing
CN109634981A (en) A kind of database expansion method and device
CN110929108A (en) Inquiring method and system for railway passenger transport service and robot
US20200293760A1 (en) Multi-modal identity recognition
CN106157382A (en) A kind of information processing method, relevant device and system
CN107077279A (en) A kind of method and device of pressure detecting
CN109192286A (en) Automatic diagnosis method and device and electronic equipment
CN103207963A (en) Two-factor authentication system based on fingerprint and vein recognition
CN105184571A (en) Payment authentication system based on combination of hand veins and multiple fingerprints
CN114117387A (en) Substation tool monitoring method and device, computer equipment and storage medium
US20180131755A1 (en) Method for Presenting Schedule Reminder Information, Terminal Device, and Cloud Server
CN109948718B (en) System and method based on multi-algorithm fusion
CN110929519B (en) Entity attribute extraction method and device
CN112131997A (en) Face recognition system and method based on deep learning
CN104866745B (en) A kind of electronic equipment and information processing method
CN115952398A (en) Data uploading statistical calculation method and system based on Internet of things and storage medium
CN110400615A (en) Medical data processing method and Related product

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant