CN103761466A - Method and device for identity authentication - Google Patents
Method and device for identity authentication Download PDFInfo
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- CN103761466A CN103761466A CN201410052182.7A CN201410052182A CN103761466A CN 103761466 A CN103761466 A CN 103761466A CN 201410052182 A CN201410052182 A CN 201410052182A CN 103761466 A CN103761466 A CN 103761466A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/017—Gesture based interaction, e.g. based on a set of recognized hand gestures
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2203/00—Indexing scheme relating to G06F3/00 - G06F3/048
- G06F2203/01—Indexing scheme relating to G06F3/01
- G06F2203/011—Emotion or mood input determined on the basis of sensed human body parameters such as pulse, heart rate or beat, temperature of skin, facial expressions, iris, voice pitch, brain activity patterns
Abstract
The invention discloses a method and device for identity authentication. The method includes the steps that a biological characteristic image of a person to be authenticated is obtained through a camera device, the obtained biological characteristic image of the person to be authenticated is matched with a pre-stored biological characteristic image, gesture identification is carried out on the person to be authenticated, and the person to be authenticated passes the identity authentication when the biological characteristic image of the person to be authenticated is successfully matched with the pre-stored biological characteristic image and the person to be authenticated passes gesture identification. According to the method and device, biological identification is combined with gesture identification, when the camera device is used for obtaining the biological characteristic image of the person to be authenticated, counterfeit biological characteristics are identified through gesture identification, and safety and reliability of biological identification are improved.
Description
Technical field
The present invention relates to biological identification technology, relate in particular to a kind of method and device of authentication.
Background technology
Due to features such as stability, uniqueness and the convenience of biological characteristic, using biological identification technology as means, carry out authentication and replace gradually traditional identification modes such as key, password.Biological identification technology refers to some biological characteristics that utilize human body, such as face, iris, fingerprint, palmmprint, hand shape etc., carry out the technology of identification, it mainly comprises: gather image, from the image gathering, extract biological information, subsequently extracted characteristic information is mated with the characteristic information of all or part registered in advance in database, according to matching result, this authenticatee is carried out to authentication.
In prior art, occurred contactless biological identification technology, it utilizes camera head to obtain image, and obtains biological information to be matched from this image.But for such as fingerprint, palmmprint, the biological characteristics such as hand shape, adopt the materials such as silicon, rubber can carry out counterfeit, adopt camera head to obtain image and carry out the mode of bio-identification, be not easy to identify these counterfeit biological characteristics, its safety and reliability existing problems.
Summary of the invention
Technical matters to be solved by this invention is to provide a kind of method and device of authentication, to solve prior art, adopts camera head to obtain image and carry out the low problem of safety and reliability that bio-identification exists.
According to an aspect of the present invention, provide a kind of method of authentication, comprising:
By camera head, obtain person's to be verified biometric image;
Obtained person's to be verified biometric image is mated with the biometric image prestoring;
Wherein, described method also comprises:
Treat verifier and carry out gesture identification;
When obtained person's to be verified biometric image, the match is successful with the biometric image prestoring, and by treating verifier's gesture identification, determine that this person to be verified is by authentication.
According to another aspect of the present invention, also provide a kind of device for authentication, having comprised:
Image acquiring device, for obtaining person's to be verified biometric image by camera head;
Coalignment, for mating obtained person's to be verified biometric image with the biometric image prestoring;
Wherein, the described device for authentication also comprises:
Gesture identifying device, carries out gesture identification for treating verifier;
Authentication is definite by device, and for working as obtained person's to be verified biometric image, the match is successful with the biometric image prestoring, and by treating verifier's gesture identification, this person to be verified is by authentication.
The present invention combines bio-identification and gesture identification, when adopting camera head to obtain person's to be verified biometric image, by gesture identification, screens counterfeit biological characteristic, has improved the safety and reliability of bio-identification.
Accompanying drawing explanation
By reading the detailed description that non-limiting example is done of doing with reference to the following drawings, it is more obvious that other features, objects and advantages of the present invention will become:
Fig. 1 is the method flow diagram of a kind of authentication according to an embodiment of the invention;
Fig. 2 is a kind of according to an embodiment of the invention device schematic diagram for authentication.
In accompanying drawing, same or analogous Reference numeral represents same or analogous parts.
Embodiment
Below in conjunction with accompanying drawing, the present invention is described in further detail.
Fig. 1 shows the method flow diagram of a kind of authentication according to an embodiment of the invention.
As shown in Figure 1, in step S101, by camera head, obtain person's to be verified biometric image.
Wherein, described camera head can be the camera head carrying for the equipment of authentication, preferably, this camera head can be the camera head carrying such as the subscriber equipment of mobile terminal, described mobile terminal includes but not limited to cell phone intelligent mobile phone, notebook computer, vehicle-mounted computer etc.; Described camera head can be also independent camera head, obtains after person's to be verified biometric image at independent camera head, and obtained biometric image is transferred to the equipment for authentication.
Alternatively, can obtain by camera head person's to be verified one or more biometric image.
Alternatively, can, when meeting pre-defined rule, open the light source of camera head, by this camera head, obtain subsequently person's to be verified biometric image.
Wherein, described pre-defined rule can comprise with the next item down:
A) when opening this camera head and prepare to obtain person's to be verified biometric image, acquiescence is opened the light source of this camera head;
B) by the light of testing environment, judge whether to open the light source of this camera head, when the light of environment meets the condition that needs to open light source, open the light source of this camera head.For example, the parameter that the condition of setting unlatching light source is ambient light, for example brightness, is less than predetermined parameter threshold etc.
Wherein, the biological characteristic described in the present invention refers to the physiological property that can measure or can automatically identify and verify that each individuality is unique, includes but not limited to fingerprint, hand shape, palmmprint, face etc.
It will be understood by those skilled in the art that above-mentioned biological characteristic is only for giving an example, other biological characteristic, as applicable to the present invention, also should be included in protection domain of the present invention, and is contained in this with way of reference.
In step S102, obtained person's to be verified biometric image is mated with the biometric image prestoring.
Particularly, can obtain the ROI(Region of Interest of person's to be verified biometric image, region of interest), subsequently this ROI is mated with the ROI of the biometric image prestoring.
Take this biological characteristic of palmmprint as example, the ROI of the biometric image that obtains person to be verified is described below.
First, by camera head, obtain person's to be verified palm image, subsequently obtained palm image is removed to background, determine palm area, preferably, the removal background method providing in Chinese patent CN200810114488.5 can be provided, the palm image obtaining in the present embodiment is removed to background.Then, get an incircle or oval as ROI in determined palm area, the semi-major axis of this inscribe radius of a circle or inner ellipse is less than or equal to the radius of the maximum inscribed circle of this palm area, or get the inscribe square or rectangular of this incircle or inner ellipse as ROI, wherein, to each point on hand, all take an initial value as radius, take this point as the center of circle, draw circle, if points all on this circumference are all in palm inside, expand radius until circumference exceeds palm area, after traveling through all points, can obtain radius and the central coordinate of circle of the maximum inscribed circle of this palm area.
After obtaining the ROI of person's palm image to be verified, mate with the ROI of the palm image prestoring.Wherein, the coupling of ROI can adopt Gray-scale Matching, for example, can adopt normalized Gray-scale Matching method, its by pixel the gray matrix of the ROI of person's palm image to be verified the gray matrix with the ROI that prestores, according to method for measuring similarity, search for relatively, preferably, can employing amplitude sequence correlation method, FFT(Fast Fourier Transformation, Fast Fourier Transform (FFT)) correlation method, the sequence determining method of hierarchical search etc.
Particularly, can also from above-mentioned ROI, extract biological information, subsequently extracted biological information be mated with the biological information prestoring.Preferably, for example, for this biological characteristic of palmmprint, can adopt such as " wavelet energy feature ", " blur direction element energy feature ", " palmmprint line structural characteristics ", " algebraic characteristic of palmmprint ", " image phase and direction character ", " based on the feature of palmmprint texture ", " based on the feature of palm print characteristics point " etc., carries out extraction and the coupling of palm print characteristics information.
Wherein, the described ROI prestoring and the biological information prestoring, can adopt as the ROI described in step S102 determines method and biological information extracting method and determine or feature extraction, the biological information of storing subsequently determined ROI information or extracting.
Alternatively, when camera head obtains a person's to be verified width biometric image, this width biometric image of obtained person to be verified is mated with the biometric image prestoring, when this width biometric image, the match is successful with the biometric image prestoring, and the match is successful with the biometric image prestoring for definite person's to be verified who obtains biometric image.
Alternatively, when camera head obtains several biometric images of person to be verified, several biometric images of obtained person to be verified are mated with the biometric image prestoring respectively, when the first predetermined quantity in described several biometric images, a for example width biometric image, the match is successful with the biometric image prestoring, and the match is successful with the biometric image prestoring for definite person's to be verified who obtains biometric image.
According to the difference of use scenes, the biometric image prestoring can be one, also can be multiple, obtained person's to be verified biometric image can be mated with the one or more biometric images that prestore, when obtained person's to be verified biometric image is mated with the biometric image prestoring, when obtained person's to be verified biometric image, the match is successful with the biometric image prestoring, and the match is successful with the biometric image prestoring to determine the person's to be verified who obtains biometric image; Or, when obtained person's to be verified biometric image is mated with the multiple biometric images that prestore, when the biometric image of the second predetermined quantity in obtained person's to be verified biometric image and the multiple biometric images that prestore, the match is successful, and the match is successful with the biometric image prestoring to determine the person's to be verified who obtains biometric image.
The embodiment of the present invention can also comprise step S103, and wherein step S103 can carry out before or after step S101, also can after step S102 or synchronously, carry out.
In step S103, treat verifier and carry out gesture identification.
Wherein, described gesture identification refers in computer science, by mathematical algorithm, identifies mankind's gesture, and described gesture can come from the motion of people's parts of body, includes but not limited to people's face and the motion of hand.It will be understood by those skilled in the art that above-mentioned gesture is only for giving an example, other gesture, as applicable to the present invention, also should be included in protection domain of the present invention, and is contained in this with way of reference.
Particularly, can point out described person to be verified to make appointment gesture, for example, clench fist, bending of the hand refers to, blink, clap hands, the arm etc. of raising one's hand, afterwards, obtain the response that person to be verified makes according to described prompting, whether the response that judges this person to be verified matches with specifying gesture, when this person's to be verified response matches with specifying gesture, by the gesture identification to this person to be verified.
Wherein, whether the response that judges person to be verified matches and can judge in the following manner with specifying gesture: the video data stream of obtaining person's response to be verified by camera head, from described video data stream, extract some two field pictures, then, key point based on these some two field pictures is obtained gesture motion track, again obtained gesture motion track is mated with the gesture model of setting up in advance, specifically can adopt " based on the track recognizing method of curve ", " based on the recognition methods of Hidden Markov Model (HMM) ", methods such as " dynamic gesture identification methods of the segmentation feature based on track " is carried out gesture coupling.
In step S104, when obtained person's to be verified biometric image, the match is successful with the biometric image prestoring, and by treating verifier's gesture identification, determine that this person to be verified is by authentication.
The present invention combines bio-identification and gesture identification, when adopting camera head to obtain person's to be verified biometric image, by gesture identification, screens counterfeit biological characteristic, has improved the safety and reliability of bio-identification.
Fig. 2 shows a kind of according to an embodiment of the invention device schematic diagram for authentication.As shown in Figure 2, this device that is used for authentication comprises: image acquiring device 201, and coalignment 202, gesture identifying device 203, authentication is determined by device 204.
Wherein, image acquiring device 201, for obtaining person's to be verified biometric image by camera head.
Wherein, described camera head can be the camera head carrying for the equipment of authentication, and preferably, this camera head can be the camera head carrying such as the subscriber equipment of mobile terminal; Described camera head can be also independent camera head, obtains after person's to be verified biometric image at independent camera head, and obtained biometric image is transferred to the equipment for authentication.
Alternatively, described image acquiring device can comprise: the first image collection module (not shown), and for obtain person's to be verified one or more biometric image by described camera head.
Alternatively, a kind of device for authentication of one embodiment of the invention can also comprise: light source opening device (not shown), for when meeting pre-defined rule, open the light source of described camera head.Subsequent picture acquisition device obtains person's to be verified biometric image again by this camera head.
Wherein, described pre-defined rule can comprise with the next item down:
A) when opening this camera head and prepare to obtain person's to be verified biometric image, acquiescence is opened the light source of this camera head;
B) by the light of testing environment, judge whether to open the light source of this camera head, when the light of environment meets the condition that needs to open light source, open the light source of this camera head.For example, the parameter that the condition of setting unlatching light source is ambient light, for example brightness, is less than predetermined parameter threshold etc.
Wherein, the biological characteristic described in the present invention refers to the physiological property that can measure or can automatically identify and verify that each individuality is unique, includes but not limited to fingerprint, hand shape, palmmprint, face etc.
It will be understood by those skilled in the art that above-mentioned biological characteristic is only for giving an example, other biological characteristic, as applicable to the present invention, also should be included in protection domain of the present invention, and is contained in this with way of reference.
Particularly, coalignment 202 can obtain the ROI(Region of Interest of person's to be verified biometric image, region of interest), subsequently this ROI is mated with the ROI of the biometric image prestoring.
Take this biological characteristic of palmmprint as example, the ROI of the biometric image that obtains person to be verified is described below.
First, camera head obtains person's to be verified palm image, coalignment 202 is removed background to obtained palm image subsequently, determine palm area, preferably, the removal background method providing in Chinese patent CN200810114488.5 can be provided, the palm image obtaining in the present embodiment is removed to background.Then, get an incircle or oval as ROI in determined palm area, the semi-major axis of this inscribe radius of a circle or inner ellipse is less than or equal to the radius of the maximum inscribed circle of this palm area, or get the inscribe square or rectangular of this incircle or inner ellipse as ROI, wherein, to each point on hand, all take an initial value as radius, take this point as the center of circle, draw circle, if points all on this circumference are all in palm inside, expand radius until circumference exceeds palm area, after traveling through all points, can obtain radius and the central coordinate of circle of the maximum inscribed circle of this palm area.
After obtaining the ROI of person's palm image to be verified, mate with the ROI of the palm image prestoring.Wherein, the coupling of ROI can adopt Gray-scale Matching, for example, can adopt normalized Gray-scale Matching method, its by pixel the gray matrix of the ROI of person's palm image to be verified the gray matrix with the ROI that prestores, according to method for measuring similarity, search for relatively, preferably, can employing amplitude sequence correlation method, FFT(Fast Fourier Transformation, Fast Fourier Transform (FFT)) correlation method, the sequence determining method of hierarchical search etc.
Particularly, coalignment 202 can also extract biological information from above-mentioned ROI, subsequently extracted biological information is mated with the biological information prestoring.Preferably, for example, for this biological characteristic of palmmprint, can adopt such as " wavelet energy feature ", " blur direction element energy feature ", " palmmprint line structural characteristics ", " algebraic characteristic of palmmprint ", " image phase and direction character ", " based on the feature of palmmprint texture ", " based on the feature of palm print characteristics point " etc., carries out extraction and the coupling of palm print characteristics information.
Wherein, the described ROI prestoring and the biological information prestoring, can adopt as the ROI described in step S102 determines method and biological information extracting method and determine or feature extraction, the biological information of storing subsequently determined ROI information or extracting.
Alternatively, when camera head obtains a person's to be verified width biometric image, described coalignment 202 can comprise: the first matching module (not shown), for this width biometric image of obtained person to be verified is mated with the biometric image prestoring, when this width biometric image, the match is successful with the biometric image prestoring, and the match is successful with the biometric image prestoring for definite person's to be verified who obtains biometric image.
Alternatively, when camera head obtains several biometric images of person to be verified, described coalignment 202 can comprise: the second matching module (not shown), for several biometric images of obtained person to be verified are mated with the biometric image prestoring respectively, when the biometric image of the first predetermined quantity in described several biometric images, the match is successful with the biometric image prestoring, and the match is successful with the biometric image prestoring for definite person's to be verified who obtains biometric image.
According to the difference of use scenes, the biometric image prestoring can be one, also can be multiple, described coalignment 202 can comprise: the 3rd matching module (not shown), for obtained person's to be verified biometric image is mated with the one or more biometric images that prestore, when obtained person's to be verified biometric image is mated with the biometric image prestoring, when obtained person's to be verified biometric image, the match is successful with the biometric image prestoring, the match is successful for the biometric image of determining the person's to be verified who obtains biometric image and prestore, or, when obtained person's to be verified biometric image is mated with the multiple biometric images that prestore, when the biometric image of the second predetermined quantity in obtained person's to be verified biometric image and the multiple biometric images that prestore, the match is successful, the match is successful for the biometric image of determining the person's to be verified who obtains biometric image and prestore.
Wherein, described gesture identifying device 203 can be carried out before or after image acquiring device 201, also can after coalignment 202 or synchronously, carry out.
Wherein, described gesture identification refers in computer science, by mathematical algorithm, identifies mankind's gesture, and described gesture can come from the motion of people's parts of body, includes but not limited to people's face and the motion of hand.It will be understood by those skilled in the art that above-mentioned gesture is only for giving an example, other gesture, as applicable to the present invention, also should be included in protection domain of the present invention, and is contained in this with way of reference.
Particularly, described gesture identifying device 203 can comprise:
Reminding module (not shown), for pointing out described person to be verified to make appointment gesture, for example, clenches fist, and bending of the hand refers to etc.
Response acquisition module (not shown), the response of making according to described prompting for obtaining person to be verified.
Whether gesture matching judgment module (not shown), match with specifying gesture for the response that judges this person to be verified.
Gesture identification, by module (not shown), matches with specifying gesture for the response as this person to be verified, by the gesture identification to this person to be verified.
Wherein, whether the response that judges person to be verified matches and can judge in the following manner with specifying gesture: the video data stream of obtaining person's response to be verified by camera head, from described video data stream, extract some two field pictures, then, key point based on these some two field pictures is obtained gesture motion track, again obtained gesture motion track is mated with the gesture model of setting up in advance, specifically can adopt " based on the track recognizing method of curve ", " based on the recognition methods of Hidden Markov Model (HMM) ", methods such as " dynamic gesture identification methods of the segmentation feature based on track " is carried out gesture coupling.
Gesture identification is by module 204, and for working as obtained person's to be verified biometric image, the match is successful with the biometric image prestoring, and by treating verifier's gesture identification, determine that this person to be verified is by authentication.
The present invention combines bio-identification and gesture identification, when adopting camera head to obtain person's to be verified biometric image, by gesture identification, screens counterfeit biological characteristic, has improved the safety and reliability of bio-identification.
It should be noted that the present invention can be implemented in the assembly of software and/or software and hardware, for example, each device of the present invention can adopt special IC (ASIC) or any other similar hardware device to realize.In one embodiment, software program of the present invention can carry out to realize step mentioned above or function by processor.Similarly, software program of the present invention (comprising relevant data structure) can be stored in computer readable recording medium storing program for performing, for example, and RAM storer, magnetic or CD-ROM driver or flexible plastic disc and similar devices.In addition, steps more of the present invention or function can adopt hardware to realize, for example, thereby as coordinate the circuit of carrying out each step or function with processor.
To those skilled in the art, obviously the invention is not restricted to the details of above-mentioned example embodiment, and in the situation that not deviating from spirit of the present invention or essential characteristic, can realize the present invention with other concrete form.Therefore, no matter from which point, all should regard embodiment as exemplary, and be nonrestrictive, scope of the present invention is limited by claims rather than above-mentioned explanation, is therefore intended to all changes that drop in the implication and the scope that are equal to important document of claim to be included in the present invention.Any Reference numeral in claim should be considered as limiting related claim.In addition, obviously other unit or step do not got rid of in " comprising " word, and odd number is not got rid of plural number.Multiple unit of stating in system claim or device also can be realized by software or hardware by a unit or device.The first, the second word such as grade is used for representing title, and does not represent any specific order.
Claims (12)
1. a method for authentication, is characterized in that, comprising:
By camera head, obtain person's to be verified biometric image;
Obtained person's to be verified biometric image is mated with the biometric image prestoring;
Wherein, described method also comprises:
Treat verifier and carry out gesture identification; And
When obtained person's to be verified biometric image, the match is successful with the biometric image prestoring, and by treating verifier's gesture identification, determine that this person to be verified is by authentication.
2. method according to claim 1, is characterized in that, described in treat verifier and carry out gesture identification and comprise:
Point out described person to be verified to make appointment gesture;
Obtain the response that person to be verified makes according to described prompting;
Whether the response that judges this person to be verified matches with specifying gesture; And
When this person's to be verified response matches with specifying gesture, by the gesture identification to this person to be verified.
3. method according to claim 1, is characterized in that, also comprises:
When meeting pre-defined rule, open the light source of described camera head.
4. method according to claim 1, is characterized in that, the described biometric image that obtains person to be verified by camera head comprises:
By camera head, obtain person's to be verified one or more biometric image;
Wherein, described obtained person's to be verified biometric image mated and comprised with the biometric image prestoring:
This width biometric image of obtained person to be verified is mated with the biometric image prestoring, when this width biometric image, the match is successful with the biometric image prestoring, and the match is successful with the biometric image prestoring for definite person's to be verified who obtains biometric image; Or
Several biometric images of obtained person to be verified are mated with the biometric image prestoring respectively, when the biometric image of the first predetermined quantity in described several biometric images, the match is successful with the biometric image prestoring, and the match is successful with the biometric image prestoring for definite person's to be verified who obtains biometric image.
5. method according to claim 1, is characterized in that, described obtained person's to be verified biometric image is mated and comprised with the biometric image prestoring:
Obtained person's to be verified biometric image is mated with the one or more biometric images that prestore;
When obtained person's to be verified biometric image is mated with the biometric image prestoring, when obtained person's to be verified biometric image, the match is successful with the biometric image prestoring, and the match is successful with the biometric image prestoring to determine the person's to be verified who obtains biometric image; Or
When obtained person's to be verified biometric image is mated with the multiple biometric images that prestore, when the biometric image of the second predetermined quantity in obtained person's to be verified biometric image and the multiple biometric images that prestore, the match is successful, and the match is successful with the biometric image prestoring to determine the person's to be verified who obtains biometric image.
6. according to the method described in any one in claim 1 to 5, it is characterized in that, described biological characteristic comprise following at least one: fingerprint, hand shape, palmmprint, face.
7. for a device for authentication, it is characterized in that, comprising:
Image acquiring device, for obtaining person's to be verified biometric image by camera head;
Coalignment, for mating obtained person's to be verified biometric image with the biometric image prestoring;
Wherein, the described device for authentication also comprises:
Gesture identifying device, carries out gesture identification for treating verifier; And
Authentication is definite by device, and for working as obtained person's to be verified biometric image, the match is successful with the biometric image prestoring, and by treating verifier's gesture identification, determine that this person to be verified is by authentication.
8. device according to claim 7, is characterized in that, described gesture identifying device comprises:
Reminding module, for pointing out described person to be verified to make appointment gesture;
Response acquisition module, the response of making according to described prompting for obtaining person to be verified;
Whether gesture matching judgment module, match with specifying gesture for the response that judges this person to be verified; And
Gesture identification, by module, matches with specifying gesture for the response as this person to be verified, by the gesture identification to this person to be verified.
9. device according to claim 7, is characterized in that, also comprises:
Light source opening device, for when meeting pre-defined rule, opens the light source of described camera head.
10. device according to claim 7, is characterized in that,
Described image acquiring device comprises:
The first image collection module, for obtaining person's to be verified one or more biometric image by described camera head;
Described coalignment comprises:
The first matching module, for this width biometric image of obtained person to be verified is mated with the biometric image prestoring, when this width biometric image, the match is successful with the biometric image prestoring, and the match is successful with the biometric image prestoring for definite person's to be verified who obtains biometric image; Or
The second matching module, for several biometric images of obtained person to be verified are mated with the biometric image prestoring respectively, when the biometric image of the first predetermined quantity in described several biometric images, the match is successful with the biometric image prestoring, and the match is successful with the biometric image prestoring for definite person's to be verified who obtains biometric image.
11. devices according to claim 7, is characterized in that, described coalignment comprises:
The 3rd matching module, for mating obtained person's to be verified biometric image with the one or more biometric images that prestore, when obtained person's to be verified biometric image is mated with the biometric image prestoring, when obtained person's to be verified biometric image, the match is successful with the biometric image prestoring, the match is successful for the biometric image of determining the person's to be verified who obtains biometric image and prestore, or, when obtained person's to be verified biometric image is mated with the multiple biometric images that prestore, when the biometric image of the second predetermined quantity in obtained person's to be verified biometric image and the multiple biometric images that prestore, the match is successful, the match is successful for the biometric image of determining the person's to be verified who obtains biometric image and prestore.
12. according to the device described in any one in claim 7 to 11, it is characterized in that, described biological characteristic comprise following at least one: fingerprint, hand shape, palmmprint, face.
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| CN103995998A (en) * | 2014-05-19 | 2014-08-20 | 华为技术有限公司 | Non-contact gesture command authentication method and user device |
| CN104267700A (en) * | 2014-10-08 | 2015-01-07 | 四川合创电器有限责任公司 | Monitoring device for high-tension distribution box |
| CN104580143A (en) * | 2014-11-09 | 2015-04-29 | 李若斌 | Security authentication method based on gesture recognition, terminal, server and system |
| CN104866828A (en) * | 2015-05-20 | 2015-08-26 | 广州日滨科技发展有限公司 | Finger vein identification method, apparatus and vein authentication terminal device |
| CN105183261A (en) * | 2015-10-09 | 2015-12-23 | 携程计算机技术（上海）有限公司 | Touch control display and touch control display system |
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| CN108595937A (en) * | 2018-04-27 | 2018-09-28 | 中国人民解放军国防科技大学 | Micro-sensing intelligent identity authentication method based on behavior characteristics |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1393823A (en) * | 2001-07-02 | 2003-01-29 | 国际商业机器公司 | Apparatus and method for auxiliary recognizing of human biological character |
| CN101330386A (en) * | 2008-05-19 | 2008-12-24 | 刘洪利 | Authentication system based on biological characteristics and identification authentication method thereof |
| US20100295785A1 (en) * | 2009-05-19 | 2010-11-25 | Pixart Imaging Inc. | Interactive system and operating method thereof |
| CN102854983A (en) * | 2012-09-10 | 2013-01-02 | 中国电子科技集团公司第二十八研究所 | Man-machine interaction method based on gesture recognition |
| CN102968612A (en) * | 2012-07-27 | 2013-03-13 | 中国工商银行股份有限公司 | Bank identity identification method and system |
-
2014
- 2014-02-14 CN CN201410052182.7A patent/CN103761466A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1393823A (en) * | 2001-07-02 | 2003-01-29 | 国际商业机器公司 | Apparatus and method for auxiliary recognizing of human biological character |
| CN101330386A (en) * | 2008-05-19 | 2008-12-24 | 刘洪利 | Authentication system based on biological characteristics and identification authentication method thereof |
| US20100295785A1 (en) * | 2009-05-19 | 2010-11-25 | Pixart Imaging Inc. | Interactive system and operating method thereof |
| CN102968612A (en) * | 2012-07-27 | 2013-03-13 | 中国工商银行股份有限公司 | Bank identity identification method and system |
| CN102854983A (en) * | 2012-09-10 | 2013-01-02 | 中国电子科技集团公司第二十八研究所 | Man-machine interaction method based on gesture recognition |
Cited By (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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| CN104580143A (en) * | 2014-11-09 | 2015-04-29 | 李若斌 | Security authentication method based on gesture recognition, terminal, server and system |
| CN107438846A (en) * | 2015-03-30 | 2017-12-05 | 谷歌公司 | Applied based on single intentional user gesture to verify user and start |
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| CN106407918A (en) * | 2016-09-05 | 2017-02-15 | 乐视控股（北京）有限公司 | Security monitoring methods and devices |
| CN106529249A (en) * | 2016-10-31 | 2017-03-22 | 宇龙计算机通信科技(深圳)有限公司 | An information interaction method and virtual reality glasses |
| CN107239770A (en) * | 2017-02-22 | 2017-10-10 | 全普光电科技(上海)有限公司 | Safety certifying method, security certification system and electronic equipment |
| CN108280428B (en) * | 2018-01-24 | 2020-08-04 | 深圳市万博智能控制技术有限公司 | Composite finger and palm print verification system |
| CN108280428A (en) * | 2018-01-24 | 2018-07-13 | 四川政安通科技有限公司 | Compound fingers and palms line verifies system |
| CN107967469A (en) * | 2018-01-24 | 2018-04-27 | 四川政安通科技有限公司 | With reference to the fingerprint method of sampling of vena metacarpea |
| CN107967469B (en) * | 2018-01-24 | 2021-11-05 | 山东承势电子科技有限公司 | Fingerprint sampling method |
| CN108595937A (en) * | 2018-04-27 | 2018-09-28 | 中国人民解放军国防科技大学 | Micro-sensing intelligent identity authentication method based on behavior characteristics |
| CN108919949A (en) * | 2018-06-25 | 2018-11-30 | 联想(北京)有限公司 | A kind of state switching method and device |
| CN111273777A (en) * | 2020-02-11 | 2020-06-12 | Oppo广东移动通信有限公司 | Virtual content control method and device, electronic equipment and storage medium |
| CN114077730A (en) * | 2021-11-26 | 2022-02-22 | 广域铭岛数字科技有限公司 | Login verification method, vehicle unlocking system, equipment and storage medium |
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