CN105590045B - A kind of identity identifying method and terminal of environment self-adaption - Google Patents
A kind of identity identifying method and terminal of environment self-adaption Download PDFInfo
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- CN105590045B CN105590045B CN201510580554.8A CN201510580554A CN105590045B CN 105590045 B CN105590045 B CN 105590045B CN 201510580554 A CN201510580554 A CN 201510580554A CN 105590045 B CN105590045 B CN 105590045B
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- biological characteristic
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- environmental parameter
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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
Abstract
A kind of identity identifying method of environment self-adaption, including：Pass through the multiple environmental parameters of sensor collection；One or more available biological characteristic recognition module is determined according to the multiple environmental parameter, and authentication is carried out using one or more of available one or more of bio-identification modules.
Description
Technical field
The embodiment of the present invention is related to information security, and relate more specifically to environment self-adaption identity identifying method and
Terminal.
Background technology
Currently, biological characteristic fingerprint, hand, the shape of face, voice, iris etc. have been widely used in authentication.
Compared with other authentication methods, has stability and persistence using the authentication method of biological characteristic, and more convenient.
Using the process of the certification of biological characteristic generally include data acquisition, signal processing, matching judgement and etc..In number
According in obtaining step, the biological attribute data of certification target is caught by sensor capture.In signal processing step, the life of capture
Object characteristic is processed, and is prepared for pattern match.In matching determination step, matching algorithm is special the biology of certification target
Corresponding template is compared in sign sample and database.
However, when capturing biological attribute data, the noise jamming in environment, for example, the illumination in recognition of face, vocal print
Noise etc. in identification is easily reduced accuracy and the reliability of certification.Therefore, it is necessary to a kind of biological characteristics of environment self-adaption
The identity identifying method of auxiliary.
Invention content
Embodiments herein discloses a kind of identity identifying method of environment self-adaption, including：It is more by sensor collection
A environmental parameter；One or more available biological characteristic recognition module is determined according to the multiple environmental parameter, using can
One or more of one or more of bio-identification modules carry out authentication.
In one embodiment, it is each given threshold of the multiple environmental parameter, wherein each environmental parameter
A corresponding bio-identification module determines wherein the method includes the irrelevance according to the environmental parameter and corresponding threshold value
One or more available biological characteristic recognition module.
In one embodiment, the environmental parameter includes ambient brightness and ambient noise.
In one embodiment, the biological characteristic recognition module includes face recognition module, sound identification module.
In one embodiment, select irrelevance maximum from available one or more of bio-identification modules
Corresponding bio-identification module carries out authentication.
In one embodiment, the method includes providing a user available one or more of biologies
Identification module selects corresponding bio-identification module to carry out authentication in response to the input of user.
A kind of identity authentication terminal of environment self-adaption is also disclosed in embodiments herein, including：First module passes through biography
Sensor collects multiple environmental parameters；Second module determines one or more available biology according to the multiple environmental parameter
Feature recognition module, third module, using one or more of available one or more of bio-identification modules into
Row authentication.
In one embodiment, second module is each given threshold of the multiple environmental parameter, wherein often
One environmental parameter corresponds to a bio-identification module, wherein second module is according to the environmental parameter and corresponding threshold value
Irrelevance determines one or more available biological characteristic recognition module.
In one embodiment, the environmental parameter includes ambient brightness and ambient noise.
In one embodiment, the biological characteristic recognition module includes face recognition module, sound identification module.
In one embodiment, the third module is selected from available one or more of bio-identification modules
The maximum corresponding bio-identification module of irrelevance carries out authentication.
In one embodiment, the terminal includes the 4th module, described available one for providing a user
Or multiple bio-identification modules, and in response to the input of user, corresponding bio-identification module is selected to carry out authentication.
The application is by sampling terminal device（Such as mobile phone, tablet, PC）With sensor group（Such as light sensor, sound
Sensor etc.）, the external environment residing for automatic detection biology is arranged according to prior threshold value, pick out it is most suitable a kind of or
A variety of biological identification modes, and then improve the robustness of biological identification effect.
When the other feature and advantage that the when of being described below is read in conjunction with the figure also will be understood that the embodiment of the present invention, wherein attached
Figure shows the principle of the embodiment of the present invention by means of example.
Description of the drawings
By means of example, from features as discussed above, in terms of the above and other of each embodiment of the invention,
Feature and benefit will be apparent.
Fig. 1 shows the flow diagram of the identity identifying method of environment self-adaption according to the ... of the embodiment of the present invention.
Fig. 2 shows the schematic diagrames of the identity authentication terminal of environment self-adaption according to the ... of the embodiment of the present invention.
Specific implementation mode
Hereinafter, the principle of the present invention and purport are described into reference implementation example.It should be understood that the embodiment provided
The present invention and further the practice present invention are more fully understood just for the sake of those skilled in the art, rather than limit the present invention
Range.For example, the part as one embodiment is illustrated or the feature of description can be used in combination with another embodiment and
Generate another embodiment.For clarity, all features of actual implementation mode are not described in the present specification.
Fig. 1 shows the flow diagram of the identity identifying method of environment self-adaption according to the ... of the embodiment of the present invention.Such as Fig. 1
Shown, the identity identifying method of environment self-adaption may comprise steps of：
Step 101：Pass through the multiple environmental parameters of sensor collection；
Step 102：One or more available biological characteristic recognition module is determined according to the multiple environmental parameter,
Step 103：Identity is carried out using one or more of available one or more of bio-identification modules
Certification.
In one embodiment, can be each given threshold of the multiple environmental parameter, wherein each environment
Parameter corresponds to a bio-identification module, wherein the method includes the irrelevance according to the environmental parameter and corresponding threshold value,
Determine one or more available biological characteristic recognition module.
Environmental parameter includes ambient brightness and ambient noise.It is understood that environmental parameter can also include such as warm
The elements such as degree, humidity, gravity sensing instruction.Biological characteristic recognition module includes face recognition module, sound identification module.Example
Such as, ambient brightness and ambient noise are acquired in one example, and judge that brightness is less than the required threshold of face recognition module
When value, start sound identification module to carry out authentication.Ambient brightness and ambient noise are acquired in yet another example, and
Judge that brightness and noise all can receive in range, then face identification module and sound identification module can be started simultaneously.Again
In one example, the maximum corresponding biology of irrelevance is selected to know from available one or more of bio-identification modules
Other module carries out authentication.
In one embodiment, available one or more of bio-identification modules can be provided a user,
Then in response to the input of user, corresponding bio-identification module is selected to carry out authentication.
The method process may be implemented as the software module being arranged in certification terminal.For example, terminal may include：
First module：Pass through the multiple environmental parameters of sensor collection；
Second module：One or more available biological characteristic recognition module is determined according to the multiple environmental parameter,
Third module：Identity is carried out using one or more of available one or more of bio-identification modules
Certification.
In one embodiment, the second module can be each given threshold of the multiple environmental parameter, wherein often
One environmental parameter corresponds to a bio-identification module, wherein second module includes according to the environmental parameter and corresponding threshold
The irrelevance of value determines one or more available biological characteristic recognition module.
In one example, the first module acquisition ambient brightness and ambient noise, and the second module judges that brightness is less than
When the required threshold value of face recognition module, sound identification module is started by third module to carry out authentication.At another
First module acquisition ambient brightness and ambient noise in example, and the second module judges brightness and noise all in receivable range
It is interior, then third module can start face identification module and sound identification module simultaneously.In yet another example, third module from
The maximum corresponding bio-identification module of irrelevance is selected to carry out body in available one or more of bio-identification modules
Part certification.
In one embodiment, terminal can also include the 4th module, be configured to provide a user described available
One or more of bio-identification modules select corresponding bio-identification module to carry out then in response to the input of user
Authentication.
Fig. 2 shows the schematic diagrames of the identity authentication terminal of environment self-adaption according to the ... of the embodiment of the present invention.Such as Fig. 2 institutes
Show, which includes environmental sensor group（Such as light sensor, sound transducer）, it is threshold value setting and computing module, mostly raw
Object feature recognition module（Such as recognition of face, Application on Voiceprint Recognition）.Terminal can be that tablet, mobile phone, PC or other biological sampling are recognized
Demonstrate,prove equipment.
It is the example process being authenticated using the certification terminal of above-mentioned configuration below：
1. user proceeds by biological identification in the induction range of certification terminal.
2. certification terminal receives user authentication request, transfer environment awareness apparatus（That is sensor group）Carry out environment calculating.
3. environment sensing equipment obtains the calculating parameter of current environment, to not meeting environmental requirement（Threshold value）Biology recognize
Card scheme is filtered.
4. certification terminal filters out the biological identification mode of most suitable current environment according to filter result.
5. user carries out corresponding biological identification according to terminal notifying, terminal call corresponding biological characteristic recognition module into
Row authentication processing.
For example, user's current environment is night, optical illumination is inadequate, but surrounding is relatively quiet, through environmental perception module meter
It calculates, does not meet recognition of face or other carry out the condition of biological identification based on light environment, but meet the item for carrying out Application on Voiceprint Recognition
Part, then certification terminal return to biological Application on Voiceprint Recognition interface, it is desirable that user carries out voice authentication.
In one example, authentication initialization parameter, such as setting illumination threshold range, background volume threshold range.Ring
Border sensing module real-time perception current environment, and biological identification mode is filtered and screened according to threshold value, according to threshold value
Irrelevance is ranked up.If current environment does not meet authentication condition, then conventional cipher certification is returned；Otherwise according to parameters for authentication
Setting, returns to most suitable authentication mode.In another example, it is set in parameter setting module with demand according to the difference of the application
The various configurations such as return " optimal ", " compound certification ", " user's selection " are set, wherein " optimal " return to the authenticating party to rank the first
Formula, " compound certification " return to the combination authentication mode of ranking front two（Such as recognition of face and speech recognition）, " user's selection " is returned
All authentication modes for meeting threshold value are returned, determine which kind of mode used by user.
Usually, various exemplary embodiments can hardware or special circuit, software, logic circuit or any combination thereof in
To implement.For example, some aspects can be implemented within hardware, and other aspects can then be implemented in firmware or software, can be by controlling
Device, microprocessor or other computing devices execute above-mentioned firmware or software, although the invention is not limited thereto.
Although this specification includes many specific implementation details, these details are not necessarily to be construed as to any invention
The limitation of range or the range that may be claimed, but should be considered as can be specific to the specific embodiment of specific invention
The description of feature.It is understood, therefore, that the embodiment of the present invention is not limited to disclosed specific embodiment, and deform
Example and other embodiments are intended within the scope of the appended claims.
Claims (10)
1. a kind of identity identifying method of environment self-adaption, which is characterized in that including：
Pass through the multiple environmental parameters of sensor collection；
One or more available biological characteristic recognition module is determined according to the multiple environmental parameter,
Authentication is carried out using one or more of available one or more of biological characteristic recognition modules；
Wherein, the method further includes：
For each given threshold of the multiple environmental parameter, wherein each environmental parameter corresponds to a living things feature recognition
Module, and, according to the irrelevance of the environmental parameter and corresponding threshold value, determine that one or more available biological characteristic is known
Other module.
2. the method as described in claim 1, which is characterized in that the environmental parameter includes ambient brightness and ambient noise.
3. the method as described in claim 1, which is characterized in that the biological characteristic recognition module include face recognition module,
Sound identification module.
4. the method as described in claim 1, which is characterized in that from available one or more of living things feature recognition moulds
The maximum corresponding biological characteristic recognition module of irrelevance is selected to carry out authentication in block.
5. the method as described in claim 1, which is characterized in that the method further includes：
Available one or more of biological characteristic recognition modules are provided a user,
In response to the input of user, corresponding biological characteristic recognition module is selected to carry out authentication.
6. a kind of identity authentication terminal of environment self-adaption, which is characterized in that including：
First module passes through the multiple environmental parameters of sensor collection；
Second module determines one or more available biological characteristic recognition module according to the multiple environmental parameter,
Third module carries out identity using one or more of available one or more of biological characteristic recognition modules
Certification；
Wherein, second module is each given threshold of the multiple environmental parameter, wherein each environmental parameter pair
A biological characteristic recognition module is answered, and, irrelevance of second module also according to the environmental parameter and corresponding threshold value
Determine one or more available biological characteristic recognition module.
7. terminal as claimed in claim 6, which is characterized in that the environmental parameter includes ambient brightness and ambient noise.
8. terminal as claimed in claim 6, which is characterized in that the biological characteristic recognition module include face recognition module,
Sound identification module.
9. terminal as claimed in claim 6, which is characterized in that the third module is from available one or more of lifes
The maximum corresponding biological characteristic recognition module of irrelevance is selected to carry out authentication in object feature recognition module.
10. terminal as claimed in claim 6, which is characterized in that the terminal further includes：
4th module, for providing a user available one or more of biological characteristic recognition modules, and sound
Corresponding biological characteristic recognition module should be selected to carry out authentication in the input of user.
Priority Applications (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510580554.8A CN105590045B (en) | 2015-09-14 | 2015-09-14 | A kind of identity identifying method and terminal of environment self-adaption |
| PCT/CN2016/098417 WO2017045564A1 (en) | 2015-09-14 | 2016-09-08 | Environmentally adaptive identity authentication method and terminal |
| HK16111000.7A HK1222924A1 (en) | 2015-09-14 | 2016-09-20 | Environmental self-adaptation identity authentication method and terminal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510580554.8A CN105590045B (en) | 2015-09-14 | 2015-09-14 | A kind of identity identifying method and terminal of environment self-adaption |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105590045A CN105590045A (en) | 2016-05-18 |
| CN105590045B true CN105590045B (en) | 2018-09-04 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510580554.8A Active CN105590045B (en) | 2015-09-14 | 2015-09-14 | A kind of identity identifying method and terminal of environment self-adaption |
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| Country | Link |
|---|---|
| CN (1) | CN105590045B (en) |
| HK (1) | HK1222924A1 (en) |
| WO (1) | WO2017045564A1 (en) |
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| CN105590045B (en) * | 2015-09-14 | 2018-09-04 | 中国银联股份有限公司 | A kind of identity identifying method and terminal of environment self-adaption |
| SG10201605364XA (en) | 2016-06-29 | 2018-01-30 | Mastercard Asia Pacific Pte Ltd | Method For Effecting An Authentication Procedure Associated With A Service Provider Or An Application |
| CN107223203B (en) | 2017-04-19 | 2018-07-06 | 深圳市汇顶科技股份有限公司 | Light-intensity test method, apparatus and intelligent terminal |
| CN107172084A (en) * | 2017-06-30 | 2017-09-15 | 广州三星通信技术研究有限公司 | A kind of method and apparatus of authentication |
| CN107203712B (en) * | 2017-06-30 | 2020-04-10 | Oppo广东移动通信有限公司 | Method and device for determining unlocking mode, storage medium and terminal |
| CN107465809B (en) * | 2017-07-03 | 2020-12-04 | Oppo广东移动通信有限公司 | Verification method and terminal |
| CN107426421B (en) * | 2017-07-11 | 2020-09-08 | Oppo广东移动通信有限公司 | Biometric pattern opening method and related product |
| CN107437176A (en) * | 2017-07-11 | 2017-12-05 | 广东欧珀移动通信有限公司 | Method of payment and Related product |
| CN107451536B (en) | 2017-07-11 | 2020-08-07 | Oppo广东移动通信有限公司 | Biometric pattern opening method and related product |
| CN107437009B (en) | 2017-07-14 | 2020-01-14 | Oppo广东移动通信有限公司 | Authority control method and related product |
| CN108108603A (en) * | 2017-12-04 | 2018-06-01 | 阿里巴巴集团控股有限公司 | Login method and device and electronic equipment |
| CN108234130A (en) * | 2017-12-04 | 2018-06-29 | 阿里巴巴集团控股有限公司 | Auth method and device and electronic equipment |
| CN108108974A (en) * | 2017-12-04 | 2018-06-01 | 阿里巴巴集团控股有限公司 | Method of payment and device and electronic equipment |
| CN108363916A (en) * | 2018-02-28 | 2018-08-03 | 上海爱优威软件开发有限公司 | A kind of identification processing method and system |
| CN108665871B (en) * | 2018-05-10 | 2020-10-09 | Oppo广东移动通信有限公司 | Screen display control method and related product |
| CN110580430A (en) * | 2018-06-11 | 2019-12-17 | 阿里巴巴集团控股有限公司 | identity input method, device and system |
| CN108875352B (en) * | 2018-06-26 | 2020-09-01 | 维沃移动通信有限公司 | User identity verification method and device and mobile terminal |
| KR102120674B1 (en) | 2018-09-19 | 2020-06-10 | 엘지전자 주식회사 | Mobile terminal |
| CN109544424A (en) * | 2018-10-27 | 2019-03-29 | 平安医疗健康管理股份有限公司 | A kind of be hospitalized monitoring and managing method and relevant device based on living things feature recognition |
| CN109639657A (en) * | 2018-12-03 | 2019-04-16 | 北京芯盾时代科技有限公司 | A kind of method and device for screening authentication mode |
| CN110096865B (en) * | 2019-05-13 | 2021-07-23 | 北京三快在线科技有限公司 | Method, device and equipment for issuing verification mode and storage medium |
| CN112001724A (en) * | 2019-05-27 | 2020-11-27 | 阿里巴巴集团控股有限公司 | Data processing method, device, equipment and storage medium |
| CN111368921A (en) * | 2020-03-05 | 2020-07-03 | 中国工商银行股份有限公司 | Multi-modal biological recognition method and device |
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Also Published As
| Publication number | Publication date |
|---|---|
| HK1222924A1 (en) | 2017-07-14 |
| CN105590045A (en) | 2016-05-18 |
| WO2017045564A1 (en) | 2017-03-23 |
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