CN105590045A - Environmental self-adaptation identity authentication method and terminal - Google Patents
Environmental self-adaptation identity authentication method and terminal Download PDFInfo
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- CN105590045A CN105590045A CN201510580554.8A CN201510580554A CN105590045A CN 105590045 A CN105590045 A CN 105590045A CN 201510580554 A CN201510580554 A CN 201510580554A CN 105590045 A CN105590045 A CN 105590045A
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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
The invention provides an environmental self-adaptation identity authentication method, which comprises the following steps: collecting a plurality of environmental parameters through a sensor; determining available one or more biological characteristic identification modules according to the plurality of environmental parameters; and carrying out identity authentication by one or more of available one or more biological characteristic identification modules.
Description
Technical field
Embodiments of the invention relate to information security, and relate more specifically to identity identifying method and the terminal of environment self-adaption.
Background technology
At present, biological characteristic such as fingerprint, hand shape, the shape of face, voice, iris etc. have been widely used in authentication. Compare with other authentication method, adopt the authentication method of biological characteristic to possess stability and persistence, and more convenient.
Adopt the process of the certification of biological characteristic to generally include the steps such as data acquisition, signal processing, coupling judgement. In data acquisition step, catch the biological attribute data of catching authentication goals by sensor. In signal treatment step, the biological attribute data of catching is processed, for pattern match is prepared. In coupling determination step, matching algorithm contrasts corresponding template in the biometric sample of authentication goals and database.
But, in the time catching biological attribute data, the noise jamming in environment, for example illumination in recognition of face, the noises in Application on Voiceprint Recognition etc. easily reduce the degree of accuracy and the reliability of certification. Therefore, need a kind of auxiliary identity identifying method of biological characteristic of environment self-adaption.
Summary of the invention
The application's embodiment discloses a kind of identity identifying method of environment self-adaption, comprising: collect multiple ambient parameters by sensor; Determine one or more available biological characteristic recognition module according to described multiple ambient parameters, use one or more in available described one or more bio-identification module to carry out authentication.
In one embodiment, for each setting threshold of described multiple ambient parameters, the wherein corresponding bio-identification module of each ambient parameter, wherein said method comprises the irrelevance with corresponding threshold value according to described ambient parameter, determines one or more available biological characteristic recognition module.
In one embodiment, described ambient parameter comprises ambient brightness and ambient noise.
In one embodiment, described biological characteristic recognition module comprises face recognition module, sound identification module.
In one embodiment, from available described one or more bio-identification module, select the corresponding bio-identification module of irrelevance maximum to carry out authentication.
In one embodiment, described method comprises, provides described available described one or more bio-identification module to user, in response to user's input, selects corresponding bio-identification module to carry out authentication.
The application's embodiment also discloses a kind of identity authentication terminal of environment self-adaption, comprising: the first module, collect multiple ambient parameters by sensor; The second module, determines one or more available biological characteristic recognition module according to described multiple ambient parameters, and the 3rd module is used one or more in available described one or more bio-identification module to carry out authentication.
In one embodiment, described the second module, for each setting threshold of described multiple ambient parameters, the wherein corresponding bio-identification module of each ambient parameter, wherein said the second module is the irrelevance with corresponding threshold value according to described ambient parameter, determines one or more available biological characteristic recognition module.
In one embodiment, described ambient parameter comprises ambient brightness and ambient noise.
In one embodiment, described biological characteristic recognition module comprises face recognition module, sound identification module.
In one embodiment, described the 3rd module selects the corresponding bio-identification module of irrelevance maximum to carry out authentication from available described one or more bio-identification module.
In one embodiment, described terminal comprises, four module for described available described one or more bio-identification module is provided to user, and in response to user's input, selects corresponding bio-identification module to carry out authentication.
The application is by sampling terminal device (as mobile phone, flat board, PC etc.) and sensor group (as light sensor, sound transducer etc.), the biological residing external environment condition of automatic detection, according to prior threshold value setting, pick out optimal one or more biological identification modes, and then improve the robustness of biological identification effect.
In the time reading by reference to the accompanying drawings following description, also will understand further feature and the advantage of embodiments of the invention, wherein accompanying drawing shows the principle of embodiments of the invention by means of example.
Brief description of the drawings
By means of example, from following the detailed description and the accompanying drawings, above-mentioned and other side, feature and the benefit of each embodiment of the present invention will become more obvious.
Fig. 1 shows according to the schematic flow sheet of the identity identifying method of the environment self-adaption of the embodiment of the present invention.
Fig. 2 shows according to the schematic diagram of the identity authentication terminal of the environment self-adaption of the embodiment of the present invention.
Detailed description of the invention
Hereinafter, with reference to embodiment, principle of the present invention and purport are described. Should be understood that, the embodiment providing is only used to those skilled in the art and understands better the present invention and further put into practice the present invention, instead of limits the scope of the invention. For example, feature illustrated as a part of an embodiment or that describe can be combined with another embodiment and produces another one embodiment. All features of actual embodiment are not described for clarity, in this manual.
Fig. 1 shows according to the schematic flow sheet of the identity identifying method of the environment self-adaption of the embodiment of the present invention. As shown in Figure 1, the identity identifying method of environment self-adaption can comprise the following steps:
Step 101: collect multiple ambient parameters by sensor;
Step 102: determine one or more available biological characteristic recognition module according to described multiple ambient parameters,
Step 103: use one or more in available described one or more bio-identification module to carry out authentication.
In one embodiment, it can be each setting threshold of described multiple ambient parameters, the wherein corresponding bio-identification module of each ambient parameter, wherein said method comprises the irrelevance with corresponding threshold value according to described ambient parameter, determines one or more available biological characteristic recognition module.
Ambient parameter comprises ambient brightness and ambient noise. Be understandable that, ambient parameter can also comprise key elements such as temperature, humidity, gravity sensing instruction. Biological characteristic recognition module comprises face recognition module, sound identification module. For example, gather in one example ambient brightness and ambient noise, and while judging brightness lower than the needed threshold value of face recognition module, start sound identification module and carry out authentication. In another example, gather ambient brightness and ambient noise, and judge that brightness and noise all in can range of receiving, can start face identification module and sound identification module so simultaneously. In another example, from available described one or more bio-identification module, select the corresponding bio-identification module of irrelevance maximum to carry out authentication.
In one embodiment, can provide described available described one or more bio-identification module to user, then in response to user's input, select corresponding bio-identification module to carry out authentication.
Described procedure may be implemented as the software module being arranged in certification terminal. For example, terminal can comprise:
The first module: collect multiple ambient parameters by sensor;
The second module: determine one or more available biological characteristic recognition module according to described multiple ambient parameters,
The 3rd module: use one or more in available described one or more bio-identification module to carry out authentication.
In one embodiment, the second module can be each setting threshold of described multiple ambient parameters, the wherein corresponding bio-identification module of each ambient parameter, wherein said the second module comprises the irrelevance with corresponding threshold value according to described ambient parameter, determines one or more available biological characteristic recognition module.
In one example, the first module gathers ambient brightness and ambient noise, and the second module is while judge brightness lower than the needed threshold value of face recognition module, carries out authentication by the 3rd module startup sound identification module. In another example, the first module gathers ambient brightness and ambient noise, and the second module judges that brightness and noise are all in can range of receiving, and the 3rd module can start face identification module and sound identification module simultaneously so. In another example, the 3rd module selects the corresponding bio-identification module of irrelevance maximum to carry out authentication from available described one or more bio-identification module.
In one embodiment, terminal can also comprise four module, and it is configured to provide described available described one or more bio-identification module to user, then in response to user's input, selects corresponding bio-identification module to carry out authentication.
Fig. 2 shows according to the schematic diagram of the identity authentication terminal of the environment self-adaption of the embodiment of the present invention. As shown in Figure 2, this terminal comprises environmental sensor group (as light sensor, sound transducer etc.), Threshold and computing module, multi-biological characteristic identification module (as recognition of face, Application on Voiceprint Recognition etc.). Terminal can be flat board, mobile phone, PC or other biological sampling authenticating device.
Below the example process that uses the certification terminal of above-mentioned configuration to authenticate:
1. user starts to carry out biological identification in the induction range of certification terminal.
2. certification terminal is accepted user authentication request, and transfer environment awareness apparatus (being sensor group) carries out environment calculating.
3. environment sensing equipment obtains the calculating parameter of current environment, and the biological identification scheme that does not meet environmental requirement (threshold value) is filtered.
4. certification terminal, according to filter result, filters out the biological identification mode of applicable current environment.
5. user carries out corresponding biological identification according to terminal notifying, and terminal is called corresponding biological characteristic recognition module and carried out authentication processing.
For example, user's current environment is night, optical illumination is inadequate, but relatively quiet around, calculate through environment sensing module, do not meet recognition of face or other carry out the condition of biological identification based on photoenvironment, but meet the condition of carrying out Application on Voiceprint Recognition, so certification terminal is returned to biological Application on Voiceprint Recognition interface, requires user to carry out voice authentication.
In one example, authentication initialization parameter, as illumination threshold range, background volume threshold range etc. are set. Environment sensing module real-time perception current environment, and filter and screen biological identification mode according to threshold value, sort according to the irrelevance to threshold value. As current environment does not all meet authentication condition, return to conventional cipher certification; Otherwise set according to parameters for authentication, return to most suitable authentication mode. In another example, return to the various configurations such as " optimum ", " compound certification ", " user's selection " module setting to be set according to the different demands of application in parameter, wherein " optimum " returns to the authentication mode ranking the first, " compound certification " returns to the combination authentication mode (as recognition of face and speech recognition) of rank front two, " user's selection " returns to all authentication modes that meet threshold value, determines to adopt which kind of mode by user.
Usually, various exemplary embodiments can be implemented in hardware or special circuit, software, logic circuit or its any combination. For example, some aspect can be implemented in hardware, and other side can be implemented in firmware or software, but carry out above-mentioned firmware or software by controller, microprocessor or other calculation element, although the invention is not restricted to this.
Although this description comprises many concrete implementation details, these details should not be interpreted as any scope of invention maybe may be required the restriction of scope of protection, but should be regarded as can be specific to the description of the feature of the specific embodiment of specific invention. Therefore, should be understood that, embodiments of the invention are not limited to disclosed specific embodiment, and variation is intended to contain within the scope of the appended claims with other embodiment.
Claims (12)
1.An identity identifying method for environment self-adaption, is characterized in that, comprising:
Collect multiple ambient parameters by sensor;
Determine one or more available biological characteristic recognition module according to described multiple ambient parameters,
Use one or more in available described one or more bio-identification module to carry out authentication.
2.The method of claim 1, is characterized in that,
For each setting threshold of described multiple ambient parameters, the wherein corresponding bio-identification module of each ambient parameter,
Wherein said method comprises the irrelevance with corresponding threshold value according to described ambient parameter, determines one or more available biological characteristic recognition module.
3.The method of claim 1, is characterized in that, described ambient parameter comprises ambient brightness and ambient noise.
4.The method of claim 1, is characterized in that, described biological characteristic recognition module comprises face recognition module, sound identification module.
5.Method as claimed in claim 2, is characterized in that, from available described one or more bio-identification module, selects the corresponding bio-identification module of irrelevance maximum to carry out authentication.
6.Method as claimed in claim 2, is characterized in that, described method comprises,
Provide described available described one or more bio-identification module to user,
In response to user's input, select corresponding bio-identification module to carry out authentication.
7.An identity authentication terminal for environment self-adaption, is characterized in that, comprising:
The first module, collects multiple ambient parameters by sensor;
The second module, determines one or more available biological characteristic recognition module according to described multiple ambient parameters,
The 3rd module, is used one or more in available described one or more bio-identification module to carry out authentication.
8.Terminal as claimed in claim 7, is characterized in that,
Described the second module, is each setting threshold of described multiple ambient parameters, the wherein corresponding bio-identification module of each ambient parameter,
Wherein said the second module is the irrelevance with corresponding threshold value according to described ambient parameter, determines one or more available biological characteristic recognition module.
9.Terminal as claimed in claim 7, is characterized in that, described ambient parameter comprises ambient brightness and ambient noise.
10.Terminal as claimed in claim 7, is characterized in that, described biological characteristic recognition module comprises face recognition module, sound identification module.
11.Device as claimed in claim 8, is characterized in that, described the 3rd module selects the corresponding bio-identification module of irrelevance maximum to carry out authentication from available described one or more bio-identification module.
12.Terminal as claimed in claim 8, is characterized in that, described terminal comprises,
Four module, for described available described one or more bio-identification module is provided to user, and in response to user's input, selects corresponding bio-identification module to carry out authentication.
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 |
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| CN201510580554.8A CN105590045B (en) | 2015-09-14 | 2015-09-14 | A kind of identity identifying method and terminal of environment self-adaption |
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| Publication Number | Publication Date |
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| CN105590045A true CN105590045A (en) | 2016-05-18 |
| CN105590045B CN105590045B (en) | 2018-09-04 |
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| 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 |
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| CN (1) | CN105590045B (en) |
| HK (1) | HK1222924A1 (en) |
| WO (1) | WO2017045564A1 (en) |
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| 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 |
| CN110096865A (en) * | 2019-05-13 | 2019-08-06 | 北京三快在线科技有限公司 | Issue the method, apparatus, equipment and storage medium of verification mode |
| 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 |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2017045564A1 (en) | 2017-03-23 |
| CN105590045B (en) | 2018-09-04 |
| HK1222924A1 (en) | 2017-07-14 |
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