CN101964056A - Bimodal face authentication method with living body detection function and system - Google Patents
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Abstract
The invention relates to data identification, in particular to a bimodal face authentication method with a living body detection function and a system. The authentication method of the invention comprises the following steps: A. establishing a database of visible light training images and near-infrared training images of known faces; and B. simultaneously collecting visible light images and near-infrared images of the heads of people to be authenticated. The invention also provides a bimodal face authentication system with a living body detection function. The invention has the beneficial effects that combined identification with the bimodal characteristics of face near-infrared images and face visible light images is adopted, as a result, the identification and authentication accuracy is improved, identification failure in the case of major changes of faces is avoided; and in addition, a living body detection module is utilized to effectively prevent personators from using photos or models to deceive others.
Description
Technical field
The present invention relates to data identification, particularly a kind of bimodal face authentication method and the system in the data identification with live body measuring ability.
Background technology
At present, the existing face authentication performance that is difficult to obtain owing to the influence that is subjected to illumination variation deeply based on the face authentication system of visible light.Though what propose in recent years can partly overcome the influence of illumination variation based near infrared face authentication system, but recognition time apart from the very long situation of people's face hour of log-on under, because people's face exists under the big situation of change (under the fat or thin situation that alters a great deal of people's face), recognition failures is generally understood by system.In addition, because existing face authentication system does not propose the living body faces detection scheme, be vulnerable to utilize the deception of faceform or photo, promptly steal registered someone facial image or produce this people's faceform after, the personator was easy to successfully fraud system when the personator placed face authentication system the place ahead with the photo of stolen people's face or model, made system think that its identity is stolen personnel selection.This is because very very approaching near the direct imaging of the imaging of (just as usually to the imaging of taking pictures of human face photo with direct very approaching to the imaging of taking pictures of people's face) and face mould and real human face in the direct imaging effect of the secondary imaging effect of the photo of visible light condition human face and real human face.
Summary of the invention
People's face exists under the big situation of change in the prior art in order to solve, recognition failures is generally understood by system, can't detect living body faces, system is subjected to the problem of the deception of photo or model easily, the invention provides a kind of bimodal face authentication method and system with live body measuring ability.
The invention provides a kind of bimodal face authentication method, may further comprise the steps with live body measuring ability:
A, foundation store the visible light training image of known identities people face and the database of near infrared training image;
B, gather head part's to be certified visible images and near-infrared image simultaneously by image capture module;
C, calculate the people's face visible images in the described visible images and the visible light distance of described visible light training image, and calculate the people's face near-infrared image in the described near-infrared image and the near infrared distance of described near infrared training image by distance calculation module;
D, by the live body detection module with the described visible light distance of minimum with set visible light relatively apart from threshold values, and with the described near infrared distance of minimum with set near infrared relatively apart from threshold values, if minimum described visible light distance is less than setting visible light apart from threshold values, and minimum described near infrared distance is greater than setting near infrared apart from threshold values, assert that then people's face to be certified is a non-living body people face, be judged to be fake user and stop authentication, otherwise, carry out next step;
E, calculate the weighted sum of described visible light distance and described near infrared distance by the image authentication module, the described weighted sum that draws is compared with setting weighted sum threshold values, if the described weighted sum that draws is greater than setting the weighted sum threshold values, then authentication is not passed through, be judged to be the disabled user and stop authentication, otherwise, carry out next step;
F, face authentication pass through;
Wherein, the order of described step D and described step e is interchangeable.
As a further improvement on the present invention, described step C comprises following substep:
C1, people's face visible images in the described visible images and described visible light training image are carried out histogram equalization by the histogram equalization module;
C2, calculate the visible light distance of described people's face visible images and described visible light training image, and calculate the people's face near-infrared image in the described near-infrared image and the near infrared distance of described near infrared training image by described distance calculation module;
C3, respectively described visible light distance and described near infrared distance is carried out normalization by the normalization module.
As a further improvement on the present invention, the described weighted sum that draws in the described step e is d, and described visible light distance is d
1, described near infrared distance is d
2, d=0.3 d then
1+ 0.7 d
2, described setting weighted sum threshold values is 0.32.
As a further improvement on the present invention, the setting visible light among the described step D is 0.35 apart from threshold values, and described setting near infrared is 0.6 apart from threshold values.
As a further improvement on the present invention, described step B comprises following substep:
B1, gather head part's to be certified described visible images and described near-infrared image simultaneously by described image capture module;
B2, judge whether and can from described visible images and described near-infrared image, detect people's face simultaneously by people's face detection module, if could not would return described step B1, if could would carry out next step.
As a further improvement on the present invention, described bimodal face authentication method with live body measuring ability is further comprising the steps of:
G, will authenticate the described people's face visible images that passes through by the training sample update module and be set at described visible light training image and updated stored in the database of steps A, described people's face near-infrared image that authentication is passed through is set at described near infrared training image and updated stored in the database of steps A.
The present invention also provides a kind of bimodal face authentication system with live body measuring ability, comprise the visible light training image that stores known identities people face and the database of near infrared training image, can gather the head part's to be certified visible images and the image capture module of near-infrared image simultaneously, can calculate the visible light distance of people's face visible images and described visible light training image in the described visible images and calculate the distance calculation module of the near infrared distance of people's face near-infrared image and described near infrared training image in the described near-infrared image, whether decidable people's face to be certified is whether live body detection module and decidable people's face to be certified of live body is the image authentication module of validated user, wherein, the input end of described distance calculation module respectively with the output terminal of described database, the output terminal of described image capture module connects, the output terminal of described distance calculation module is connected with the input end of described live body detection module, and the output terminal of described live body detection module is connected with the input end of described image authentication module.
As a further improvement on the present invention, described image authentication module is connected with the training sample update module, the output terminal of described training sample update module is connected with the input end of described database, described image capture module comprises at least two visible image capturing heads, is coated with optical filter on one of them described visible image capturing head to gather people's face near-infrared image.
As a further improvement on the present invention, described bimodal face authentication system with live body measuring ability also comprises the histogram equalization module, normalization module and people's face detection module that can judge whether from described visible images and described near-infrared image, to detect simultaneously people's face, wherein, the input end of described people's face detection module is connected with the output terminal of described image capture module, the output terminal of described people's face detection module is connected with the input end of described image capture module and the input end of described histogram equalization module respectively, the output terminal of described histogram equalization module is connected with the input end of described distance calculation module, the input end of described normalization module links to each other with the output terminal of described distance calculation module, and the output terminal of described normalization module is connected with the input end of described live body detection module.
The present invention also provides a kind of bimodal face authentication system with live body measuring ability, comprise the visible light training image that stores known identities people face and the database of near infrared training image, can gather the head part's to be certified visible images and the image capture module of near-infrared image simultaneously, can calculate the visible light distance of people's face visible images in the described visible images and described visible light training image and calculate people's face near-infrared image in the described near-infrared image and the distance calculation module of the near infrared distance of described near infrared training image, whether decidable people's face to be certified is whether live body detection module and decidable people's face to be certified of live body is the image authentication module of validated user, wherein, the input end of described distance calculation module respectively with the output terminal of described database, the output terminal of described image capture module connects, the output terminal of described distance calculation module is connected with the input end of described image authentication module, and the output terminal of described image authentication module is connected with the input end of described live body detection module.
The invention has the beneficial effects as follows: pass through such scheme, adopt the identification of uniting of people's face near-infrared image and people's face visible images bimodal feature, improved the identification authentication precision, effectively avoid people's face to have the problem of recognition failures under the big situation of change, by the live body detection module, effectively avoided the personator to cheat by photo or model.
Description of drawings
Fig. 1 is the schematic flow sheet of the embodiment one of a kind of bimodal face authentication method with live body measuring ability of the present invention;
Fig. 2 is the structural representation of the embodiment one of the bimodal face authentication system with live body measuring ability of the present invention;
Fig. 3 is the schematic flow sheet of the embodiment two of a kind of bimodal face authentication method with live body measuring ability of the present invention;
Fig. 4 is the structural representation of the embodiment two of the bimodal face authentication system with live body measuring ability of the present invention.
Embodiment
The present invention is further described below in conjunction with description of drawings and embodiment.
Drawing reference numeral among Fig. 1 to Fig. 4 is: database 101; Image capture module 102; People's face detection module 103; Histogram equalization module 104; Distance calculation module 105; Normalization module 106; Live body detection module 107; Image authentication module 108; Training sample update module 109.
As shown in Figure 1, a kind of embodiment one with bimodal face authentication method of live body measuring ability may further comprise the steps:
A, foundation store the visible light training image of known identities people face and the database 101 of near infrared training image;
B1, gather head part's to be certified visible images and near-infrared image simultaneously by described image capture module 102;
B2, judge whether and from described visible images and described near-infrared image, to detect people's face simultaneously by people's face detection module, if could not would return described step B1, if could the human face region in the described visible images would be intercepted out as " people's face visible images ", with the human face region in the described near-infrared image intercept out as " people's face near-infrared image ", and carry out next step;
C1, described people's face visible images and described visible light training image are carried out histogram equalization by histogram equalization module 104;
C2, calculate the visible light distance of described people's face visible images and described visible light training image, and calculate the near infrared distance of described people's face near-infrared image and described near infrared training image by described distance calculation module 105;
C3, respectively described visible light distance and described near infrared distance is carried out normalization by normalization module 106.
D, by live body detection module 107 with the described visible light distance of minimum with set visible light relatively apart from threshold values, and with the described near infrared distance of minimum with set near infrared relatively apart from threshold values, if minimum described visible light distance is less than setting visible light apart from threshold values, and minimum described near infrared distance is greater than setting near infrared apart from threshold values, assert that then people's face to be certified is a non-living body people face, be judged to be fake user and stop authentication, otherwise, carry out next step;
E, calculate the weighted sum of described visible light distance and described near infrared distance by image authentication module 108, the described weighted sum that draws is compared with setting weighted sum threshold values, if the described weighted sum that draws is greater than setting the weighted sum threshold values, then authentication is not passed through, be judged to be the disabled user and stop authentication, otherwise, carry out next step;
F, face authentication pass through;
G, will authenticate the described people's face visible images that passes through by training sample update module 109 and be set at described visible light training image and updated stored in the database 101 of steps A, described people's face near-infrared image that authentication is passed through is set at described near infrared training image and updated stored in the database 101 of steps A.
Wherein, the order of described step D and described step e is interchangeable, whether comprise people's face in the image that can determine to collect by step B2, avoid authenticating not collecting people's face or gather the incomplete situation of people's face that step G can effectively avoid people's face to have the situation of bigger variation.
Can on the normalization basis, carry out the matching score layer and merge, and draw the final authentication result of people's face according to fusion results.
The described weighted sum that draws in the described step e is d, and described visible light distance is d
1, described near infrared distance is d
2, d=0.3 d then
1+ 0.7 d
2, described setting weighted sum threshold values is preferably 0.32.
Setting visible light among the described step D is preferably 0.35 apart from threshold values, and described setting near infrared is preferably 0.6 apart from threshold values.
A kind of embodiment one with bimodal face authentication method of live body measuring ability provided by the invention can also may further comprise the steps, concentrate some neighbour's samples of determining people's face near-infrared image to be certified from everyone the near infrared training image of face, and from the concentrated some neighbour's samples of determining people's face visible images to be certified of the visible light training image of everyone face, people's face near-infrared image to be certified is expressed as the linear combination of corresponding neighbour's sample, goes out similarity between this people's face near-infrared image and all categories according to the coefficient calculations of linear combination; People's face visible images to be certified is expressed as the linear combination of corresponding neighbour's sample, goes out similarity between this people's face visible images and all categories according to the coefficient calculations of linear combination.
As shown in Figure 2, a kind of embodiment one with bimodal face authentication system of live body measuring ability, comprise the visible light training image that stores known identities people face and the database 101 of near infrared training image, can gather the head part's to be certified visible images and the image capture module 102 of near-infrared image simultaneously, can calculate the visible light distance of people's face visible images in the described visible images and described visible light training image and calculate people's face near-infrared image in the described near-infrared image and the distance calculation module 103 of the near infrared distance of described near infrared training image, whether decidable people's face to be certified is whether live body detection module 107 and decidable people's face to be certified of live body is the image authentication module 108 of validated user, wherein, the input end of described distance calculation module 105 respectively with the output terminal of described database 101, the output terminal of described image capture module 102 connects, the output terminal of described distance calculation module 105 is connected with the input end of described live body detection module 107, and the output terminal of described live body detection module 107 is connected with the input end of described image authentication module 108.
As shown in Figure 2, bimodal face authentication system with live body measuring ability also comprises training sample update module 109, the output terminal of described image authentication module 108 is connected with the input end of training sample update module 109, the output terminal of described training sample update module 109 is connected with the input end of described database 101, described image capture module 102 comprises at least two visible image capturing heads, be coated with optical filter on one of them described visible image capturing head to gather people's face near-infrared image, adopt two visible image capturing heads can avoid using outer camera, can reduce cost.
As shown in Figure 2, described bimodal face authentication system with live body measuring ability also comprises histogram equalization module 104, normalization module 106 and people's face detection module 103 that can judge whether from described visible images and described near-infrared image, to detect simultaneously people's face, wherein, the input end of described people's face detection module 103 is connected with the output terminal of described image capture module 102, the output terminal of described people's face detection module 103 is connected with the input end of described image capture module 102 and the input end of described histogram equalization module 104 respectively, the output terminal of described histogram equalization module 104 is connected with the input end of described distance calculation module 105, the input end of described normalization module 106 links to each other with the output terminal of described distance calculation module 105, and the output terminal of described normalization module 106 is connected with the input end of described live body detection module 107.
The practical operation of the embodiment one of a kind of bimodal face authentication system with live body measuring ability provided by the invention can be: the user at first touch-screen of the bimodal face authentication system by having the live body measuring ability imports its ID number, system accepts this ID number, trigger two camera work immediately, and take the visible images and the near-infrared image of people face simultaneously, behind the people's face visible images that detects the active user and people's face near-infrared image, system will call and take out its previously stored corresponding with the ID that receives number everyone face visible light training image and near infrared training image, and compare with above-mentioned visible light training image and near infrared training image respectively by active user's people's face visible light and people's face near-infrared image.
In order to shoot near-infrared image more clearly, can have arrangement near-infrared LED light source in the bimodal face authentication system of live body measuring ability, this near-infrared LED light emitted wavelength is 850nm.
A kind of two visible image capturing heads of embodiment one preferred employing provided by the invention with bimodal face authentication system of live body measuring ability, rather than adopt infrared camera to take near-infrared image, its concrete scheme is, cover optical filter therein on visible image capturing head and gather near-infrared image, make native system have low-cost characteristics, the optical filter that native system adopts is to stop wavelength to pass through greater than the ripple of 715 nm by allowing wavelength less than the ripple of 715 nm, and its center cutoff wavelength is about 756nm, and wavelength is the transmittance general about 90% of the ripple of 850nm.
As shown in Figure 3, a kind of embodiment two with bimodal face authentication method of live body measuring ability may further comprise the steps:
A, foundation store the visible light training image of known identities people face and the database 101 of near infrared training image;
B1, gather head part's to be certified visible images and near-infrared image simultaneously by described image capture module 102;
B2, judge whether and from described visible images and described near-infrared image, to detect people's face simultaneously by people's face detection module, if could not would return described step B1, if could the human face region in the described visible images would be intercepted out as " people's face visible images ", with the human face region in the described near-infrared image intercept out as " people's face near-infrared image ", and carry out next step;
C1, described people's face visible images and described visible light training image are carried out histogram equalization by histogram equalization module 104;
C2, calculate the visible light distance of described people's face visible images and described visible light training image, and calculate the near infrared distance of described people's face near-infrared image and described near infrared training image by described distance calculation module 105;
C3, respectively described visible light distance and described near infrared distance is carried out normalization by normalization module 106.
E, calculate the weighted sum of described visible light distance and described near infrared distance by image authentication module 108, the described weighted sum that draws is compared with setting weighted sum threshold values, if the described weighted sum that draws is greater than setting the weighted sum threshold values, then authentication is not passed through, be judged to be the disabled user and stop authentication, otherwise, carry out next step;
D, by live body detection module 107 with the described visible light distance of minimum with set visible light relatively apart from threshold values, and with the described near infrared distance of minimum with set near infrared relatively apart from threshold values, if minimum described visible light distance is less than setting visible light apart from threshold values, and minimum described near infrared distance is greater than setting near infrared apart from threshold values, assert that then people's face to be certified is a non-living body people face, be judged to be fake user and stop authentication, otherwise, carry out next step;
F, face authentication pass through;
G, will authenticate the described people's face visible images that passes through by training sample update module 109 and be set at described visible light training image and updated stored in the database 101 of steps A, described people's face near-infrared image that authentication is passed through is set at described near infrared training image and updated stored in the database 101 of steps A.
Wherein, the order of described step D and described step e is interchangeable, and step G can effectively avoid people's face to have the situation of bigger variation.
Can on the normalization basis, carry out the matching score layer and merge, and draw the final authentication result of people's face according to fusion results.
The described weighted sum that draws in the described step e is d, and described visible light distance is d
1, described near infrared distance is d
2, d=0.3 d then
1+ 0.7 d
2, described setting weighted sum threshold values is preferably 0.32.
Setting visible light among the described step D is preferably 0.35 apart from threshold values, and described setting near infrared is preferably 0.6 apart from threshold values.
A kind of embodiment two with bimodal face authentication method of live body measuring ability provided by the invention can also may further comprise the steps, concentrate some neighbour's samples of determining people's face near-infrared image to be certified from everyone the near infrared training image of face, and from the concentrated some neighbour's samples of determining people's face visible images to be certified of the visible light training image of everyone face, people's face near-infrared image to be certified is expressed as the linear combination of corresponding neighbour's sample, goes out similarity between this people's face near-infrared image and all categories according to the coefficient calculations of linear combination; People's face visible images to be certified is expressed as the linear combination of corresponding neighbour's sample, goes out similarity between this people's face visible images and all categories according to the coefficient calculations of linear combination.
As shown in Figure 4, a kind of embodiment two with bimodal face authentication system of live body measuring ability, comprise the visible light training image that stores known identities people face and the database 101 of near infrared training image, can gather the head part's to be certified visible images and the image capture module 102 of near-infrared image simultaneously, can calculate the visible light distance of people's face visible images in the described visible images and described visible light training image and calculate people's face near-infrared image in the described near-infrared image and the distance calculation module 105 of the near infrared distance of described near infrared training image, whether decidable people's face to be certified is whether live body detection module 107 and decidable people's face to be certified of live body is the image authentication module 108 of validated user, wherein, the input end of described distance calculation module 105 respectively with the output terminal of described database 101, the output terminal of described image capture module 102 connects, the output terminal of described distance calculation module 105 is connected with the input end of described image authentication module 108, and the output terminal of described image authentication module 108 is connected with the input end of described live body detection module 107.
As shown in Figure 4, bimodal face authentication system with live body measuring ability also comprises training sample update module 109, the output terminal of described image authentication module 108 is connected with the input end of described training sample update module 109, the output terminal of described training sample update module 109 is connected with the input end of described database 101, described image capture module 102 comprises at least two visible image capturing heads, is coated with optical filter on one of them described visible image capturing head.
As shown in Figure 4, described bimodal face authentication system with live body measuring ability also comprises histogram equalization module 104, normalization module 106 and people's face detection module 103 that can judge whether from described visible images and described near-infrared image, to detect simultaneously people's face, wherein, the input end of described people's face detection module 103 is connected with the output terminal of described image capture module 102, the output terminal of described people's face detection module 103 is connected with the input end of described image capture module 102 and the input end of described histogram equalization module 104 respectively, the output terminal of described histogram equalization module 104 is connected with the input end of described distance calculation module 105, the input end of described normalization module 106 links to each other with the output terminal of described distance calculation module 105, and the output terminal of described normalization module 106 is connected with the input end of described live body detection module 107.
The practical operation of the embodiment two of a kind of bimodal face authentication system with live body measuring ability provided by the invention can be: the user at first touch-screen of the bimodal face authentication system by having the live body measuring ability imports its ID number, system accepts this ID number, trigger two camera work immediately, and take the visible images and the near-infrared image of people face simultaneously, behind the people's face visible images that detects the active user and people's face near-infrared image, system will call and take out its previously stored corresponding with the ID that receives number everyone face visible light training image and near infrared training image, and compare with above-mentioned visible light training image and near infrared training image respectively by active user's people's face visible light and people's face near-infrared image.
In order to shoot near-infrared image more clearly, can have arrangement near-infrared LED light source in the bimodal face authentication system of live body measuring ability, this near-infrared LED light emitted wavelength is 850nm.
A kind of two visible image capturing heads of embodiment two preferred employings provided by the invention with bimodal face authentication system of live body measuring ability, rather than adopt infrared camera to take near-infrared image, its concrete scheme is, cover optical filter therein on visible image capturing head and gather near-infrared image, make native system have low-cost characteristics, the optical filter that native system adopts is to stop wavelength to pass through greater than the ripple of 715 nm by allowing wavelength less than the ripple of 715 nm, and its center cutoff wavelength is about 756nm, and wavelength is the transmittance general about 90% of the ripple of 850nm.
Above content be in conjunction with concrete preferred implementation to further describing that the present invention did, can not assert that concrete enforcement of the present invention is confined to these explanations.For the general technical staff of the technical field of the invention, without departing from the inventive concept of the premise, can also make some simple deduction or replace, all should be considered as belonging to protection scope of the present invention.
Claims (10)
1. the bimodal face authentication method with live body measuring ability is characterized in that, may further comprise the steps:
A, foundation store the visible light training image of known identities people face and the database of near infrared training image;
B, gather head part's to be certified visible images and near-infrared image simultaneously by image capture module;
C, calculate the people's face visible images in the described visible images and the visible light distance of described visible light training image, and calculate the people's face near-infrared image in the described near-infrared image and the near infrared distance of described near infrared training image by distance calculation module;
D, by the live body detection module with the described visible light distance of minimum with set visible light relatively apart from threshold values, and with the described near infrared distance of minimum with set near infrared relatively apart from threshold values, if minimum described visible light distance is less than setting visible light apart from threshold values, and minimum described near infrared distance is greater than setting near infrared apart from threshold values, assert that then people's face to be certified is a non-living body people face, be judged to be fake user and stop authentication, otherwise, carry out next step;
E, calculate the weighted sum of described visible light distance and described near infrared distance by the image authentication module, the described weighted sum that draws is compared with setting weighted sum threshold values, if the described weighted sum that draws is greater than setting the weighted sum threshold values, then authentication is not passed through, be judged to be the disabled user and stop authentication, otherwise, carry out next step;
F, face authentication pass through;
Wherein, the order of described step D and described step e is interchangeable.
2. according to the described bimodal face authentication method of claim 1, it is characterized in that described step C comprises following substep with live body measuring ability:
C1, people's face visible images in the described visible images and described visible light training image are carried out histogram equalization by the histogram equalization module;
C2, calculate the visible light distance of described people's face visible images and described visible light training image, and calculate the people's face near-infrared image in the described near-infrared image and the near infrared distance of described near infrared training image by described distance calculation module;
C3, respectively described visible light distance and described near infrared distance is carried out normalization by the normalization module.
3. according to the described bimodal face authentication method with live body measuring ability of claim 2, it is characterized in that the described weighted sum that draws in the described step e is d, described visible light distance is d
1, described near infrared distance is d
2, d=0.3 d then
1+ 0.7 d
2, described setting weighted sum threshold values is 0.32.
4. according to the described bimodal face authentication method with live body measuring ability of claim 2, it is characterized in that: the setting visible light among the described step D is 0.35 apart from threshold values, and described setting near infrared is 0.6 apart from threshold values.
5. according to the described bimodal face authentication method of claim 1, it is characterized in that described step B comprises following substep with live body measuring ability:
B1, gather head part's to be certified described visible images and described near-infrared image simultaneously by described image capture module;
B2, judge whether and can from described visible images and described near-infrared image, detect people's face simultaneously by people's face detection module, if could not would return described step B1, if could would carry out next step.
6. according to the described bimodal face authentication method of claim 1, it is characterized in that described bimodal face authentication method with live body measuring ability is further comprising the steps of with live body measuring ability:
G, will authenticate the described people's face visible images that passes through by the training sample update module and be set at described visible light training image and updated stored in the database of steps A, described people's face near-infrared image that authentication is passed through is set at described near infrared training image and updated stored in the database of steps A.
7. bimodal face authentication system with live body measuring ability, it is characterized in that: comprise the visible light training image that stores known identities people face and the database of near infrared training image, can gather the head part's to be certified visible images and the image capture module of near-infrared image simultaneously, can calculate the visible light distance of people's face visible images in the described visible images and described visible light training image and calculate people's face near-infrared image in the described near-infrared image and the distance calculation module of the near infrared distance of described near infrared training image, whether decidable people's face to be certified is whether live body detection module and decidable people's face to be certified of live body is the image authentication module of validated user, wherein, the input end of described distance calculation module respectively with the output terminal of described database, the output terminal of described image capture module connects, the output terminal of described distance calculation module is connected with the input end of described live body detection module, and the output terminal of described live body detection module is connected with the input end of described image authentication module.
8. according to the described bimodal face authentication system of claim 7 with live body measuring ability, it is characterized in that: described bimodal face authentication system with live body measuring ability comprises the training sample update module, the output terminal of described image authentication module is connected with the input end of described training sample update module, the output terminal of described training sample update module is connected with the input end of described database, described image capture module comprises at least two visible image capturing heads, is coated with optical filter on one of them described visible image capturing head.
9. according to the described bimodal face authentication system of claim 7 with live body measuring ability, it is characterized in that: described bimodal face authentication system with live body measuring ability also comprises the histogram equalization module, normalization module and people's face detection module that can judge whether from described visible images and described near-infrared image, to detect simultaneously people's face, wherein, the input end of described people's face detection module is connected with the output terminal of described image capture module, the output terminal of described people's face detection module is connected with the input end of described image capture module and the input end of described histogram equalization module respectively, the output terminal of described histogram equalization module is connected with the input end of described distance calculation module, the input end of described normalization module links to each other with the output terminal of described distance calculation module, and the output terminal of described normalization module is connected with the input end of described live body detection module.
10. bimodal face authentication system with live body measuring ability, it is characterized in that: comprise the visible light training image that stores known identities people face and the database of near infrared training image, can gather the head part's to be certified visible images and the image capture module of near-infrared image simultaneously, can calculate the visible light distance of people's face visible images in the described visible images and described visible light training image and calculate people's face near-infrared image in the described near-infrared image and the distance calculation module of the near infrared distance of described near infrared training image, whether decidable people's face to be certified is whether live body detection module and decidable people's face to be certified of live body is the image authentication module of validated user, wherein, the input end of described distance calculation module respectively with the output terminal of described database, the output terminal of described image capture module connects, the output terminal of described distance calculation module is connected with the input end of described image authentication module, and the output terminal of described image authentication module is connected with the input end of described live body detection module.
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|---|---|---|---|
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Effective date of registration: 20200331 Address after: Room 704, building C1, Lugu Yuyuan, No. 27, Wenxuan Road, Changsha hi tech Development Zone, Changsha City, Hunan Province Patentee after: Hunan Weilian Intelligent Technology Co., Ltd Address before: 518000 building C, Innovation Research Institute, Nanshan District hi tech Zone, Guangdong, Shenzhen 1-6 Patentee before: Xu Yong |
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