CN101964056B - Bimodal face authentication method with living body detection function and system - Google Patents
Bimodal face authentication method with living body detection function and system Download PDFInfo
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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 receives 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 receives 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 through image capture module;
C, calculate people's face visible images and the visible light distance of said visible light training image in the said visible images, and calculate people's face near-infrared image and the near infrared distance of said near infrared training image in the said near-infrared image through distance calculation module;
D, through the live body detection module with the said visible light distance of minimum with set visible light relatively apart from threshold values; And with the said near infrared distance of minimum with set near infrared relatively apart from threshold values, if minimum said visible light distance less than setting visible light apart from threshold values, and minimum said 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 said visible light distance and said near infrared distance through the image authentication module; Said weighted sum that draws and setting weighted sum threshold values are compared; If the said weighted sum that draws is greater than setting the weighted sum threshold values, then authentication is not passed through, and is judged to be the disabled user and stops authentication; Otherwise, carry out next step;
F, face authentication pass through;
Wherein, the order of said step D and said step e is interchangeable.
As further improvement of the present invention, said step C comprises following substep:
C1, people's face visible images in the said visible images and said visible light training image are carried out histogram equalization through the histogram equalization module;
C2, calculate the visible light distance of said people's face visible images and said visible light training image, and calculate people's face near-infrared image and the near infrared distance of said near infrared training image in the said near-infrared image through said distance calculation module;
C3, respectively said visible light distance and said near infrared distance is carried out normalization through the normalization module.
As further improvement of the present invention, the said weighted sum that draws in the said step e is d, and said visible light distance is d
1, said near infrared distance is d
2, d=0.3 d then
1+ 0.7 d
2, said setting weighted sum threshold values is 0.32.
As further improvement of the present invention, the setting visible light among the said step D is 0.35 apart from threshold values, and said setting near infrared is 0.6 apart from threshold values.
As further improvement of the present invention, said step B comprises following substep:
B1, gather head part's to be certified said visible images and said near-infrared image simultaneously through said image capture module;
B2, judge whether and can from said visible images and said near-infrared image, detect people's face simultaneously through people's face detection module, if could not would return said step B1, if could would carry out next step.
As further improvement of the present invention, said bimodal face authentication method with live body measuring ability is further comprising the steps of:
G, the said people's face visible images that authentication is passed through through the training sample update module are set at said visible light training image and updated stored in the database of steps A, and said people's face near-infrared image that authentication is passed through is set at said 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 whether the image capture module of the visible light training image that stores known identities people face and the database of near infrared training image, the visible images that can gather head part to be certified simultaneously and near-infrared image, distance calculation module, decidable people's face to be certified that can calculate the visible light distance of people's face visible images and said visible light training image in the said visible images and calculate the near infrared distance of people's face near-infrared image and said near infrared training image in the said near-infrared image are 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 said distance calculation module is connected with the output terminal of said database, the output terminal of said image capture module respectively; The output terminal of said distance calculation module is connected with the input end of said live body detection module, and the output terminal of said live body detection module is connected with the input end of said image authentication module.
As further improvement of the present invention; Said image authentication module is connected with the training sample update module; The output terminal of said training sample update module is connected with the input end of said database; Said image capture module comprises at least two visible image capturing heads, is coated with optical filter on one of them said visible image capturing head to gather people's face near-infrared image.
As further improvement of the present invention; Said bimodal face authentication system with live body measuring ability also comprises histogram equalization module, normalization module and can judge whether from said visible images and said near-infrared image, to detect simultaneously people's face detection module of people's face; Wherein, The input end of said people's face detection module is connected with the output terminal of said image capture module; The output terminal of said people's face detection module is connected with the input end of said image capture module and the input end of said histogram equalization module respectively; The output terminal of said histogram equalization module is connected with the input end of said distance calculation module, and the input end of said normalization module links to each other with the output terminal of said distance calculation module, and the output terminal of said normalization module is connected with the input end of said live body detection module.
The present invention also provides a kind of bimodal face authentication system with live body measuring ability; Comprise whether the image capture module of the visible light training image that stores known identities people face and the database of near infrared training image, the visible images that can gather head part to be certified simultaneously and near-infrared image, distance calculation module, decidable people's face to be certified that can calculate the visible light distance of people's face visible images and said visible light training image in the said visible images and calculate the near infrared distance of people's face near-infrared image and said near infrared training image in the said near-infrared image are 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 said distance calculation module is connected with the output terminal of said database, the output terminal of said image capture module respectively; The output terminal of said distance calculation module is connected with the input end of said image authentication module, and the output terminal of said image authentication module is connected with the input end of said live body detection module.
The invention has the beneficial effects as follows: through such scheme; Adopt the identification of uniting of people's face near-infrared image and people's face visible images bimodal characteristic; Improved the identification authentication precision; Effectively avoid people's face to have the problem of recognition failures under the big situation of change,, effectively avoided the personator to cheat through photo or model through the live body detection module.
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 with bimodal face authentication system implementation example one of live body measuring ability according to the 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 with bimodal face authentication system implementation example two of live body measuring ability according to the invention.
Embodiment
Below in conjunction with description of drawings and embodiment the present invention is further specified.
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 through said image capture module 102;
B2, judge whether and from said visible images and said near-infrared image, to detect people's face simultaneously through people's face detection module; If could not would return said step B1; If could the human face region intercepting in the said visible images would be come out as " people's face visible images "; With the human face region intercepting in the said near-infrared image come out as " people's face near-infrared image ", and carry out next step;
C1, said people's face visible images and said visible light training image are carried out histogram equalization through histogram equalization module 104;
C2, calculate the visible light distance of said people's face visible images and said visible light training image, and calculate the near infrared distance of said people's face near-infrared image and said near infrared training image through said distance calculation module 105;
C3, respectively said visible light distance and said near infrared distance is carried out normalization through normalization module 106.
D, through live body detection module 107 with the said visible light distance of minimum with set visible light relatively apart from threshold values; And with the said near infrared distance of minimum with set near infrared relatively apart from threshold values, if minimum said visible light distance less than setting visible light apart from threshold values, and minimum said 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 said visible light distance and said near infrared distance through image authentication module 108; Said weighted sum that draws and setting weighted sum threshold values are compared; If the said weighted sum that draws is greater than setting the weighted sum threshold values, then authentication is not passed through, and is judged to be the disabled user and stops authentication; Otherwise, carry out next step;
F, face authentication pass through;
G, the said people's face visible images that authentication is passed through through training sample update module 109 are set at said visible light training image and updated stored in the database 101 of steps A, and said people's face near-infrared image that authentication is passed through is set at said near infrared training image and updated stored in the database 101 of steps A.
Wherein, The order of said step D and said step e is interchangeable; Whether comprise people's face in the image that can confirm to collect through step B2, avoid carrying out authentication 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 said weighted sum that draws in the said step e is d, and said visible light distance is d
1, said near infrared distance is d
2, d=0.3 d then
1+ 0.7 d
2, said setting weighted sum threshold values is preferably 0.32.
Setting visible light among the said step D is preferably 0.35 apart from threshold values, and said 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 the 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 the 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 bimodal face authentication system implementation example one with live body measuring ability; Comprise whether the image capture module 102 of the visible light training image that stores known identities people face and the database 101 of near infrared training image, the visible images that can gather head part to be certified simultaneously and near-infrared image, distance calculation module 103, decidable people's face to be certified that can calculate the visible light distance of people's face visible images and said visible light training image in the said visible images and calculate the near infrared distance of people's face near-infrared image and said near infrared training image in the said near-infrared image are 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 said distance calculation module 105 is connected with the output terminal of said database 101, the output terminal of said image capture module 102 respectively; The output terminal of said distance calculation module 105 is connected with the input end of said live body detection module 107, and the output terminal of said live body detection module 107 is connected with the input end of said 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 said image authentication module 108 is connected with the input end of training sample update module 109; The output terminal of said training sample update module 109 is connected with the input end of said database 101, and said image capture module 102 comprises at least two visible image capturing heads, is coated with optical filter on one of them said visible image capturing head to gather people's face near-infrared image; Adopt two visible image capturing heads can avoid the use of outer camera, can reduce cost.
As shown in Figure 2; Said bimodal face authentication system with live body measuring ability also comprises histogram equalization module 104, normalization module 106 and can judge whether from said visible images and said near-infrared image, to detect simultaneously people's face detection module 103 of people's face; Wherein, The input end of said people's face detection module 103 is connected with the output terminal of said image capture module 102; The output terminal of said people's face detection module 103 is connected with the input end of said image capture module 102 and the input end of said histogram equalization module 104 respectively; The output terminal of said histogram equalization module 104 is connected with the input end of said distance calculation module 105; The input end of said normalization module 106 links to each other with the output terminal of said distance calculation module 105, and the output terminal of said normalization module 106 is connected with the input end of said live body detection module 107.
The practical operation of a kind of bimodal face authentication system implementation example one with live body measuring ability provided by the invention can be: the user is the touch-screen input its ID number of the bimodal face authentication system through having the live body measuring ability at first; System accepts this ID number; Trigger two camera work immediately; And the simultaneously visible images and the near-infrared image of shooting people face; 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 through 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 bimodal face authentication system implementation example one preferred employing provided by the invention with 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 through 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 through said image capture module 102;
B2, judge whether and from said visible images and said near-infrared image, to detect people's face simultaneously through people's face detection module; If could not would return said step B1; If could the human face region intercepting in the said visible images would be come out as " people's face visible images "; With the human face region intercepting in the said near-infrared image come out as " people's face near-infrared image ", and carry out next step;
C1, said people's face visible images and said visible light training image are carried out histogram equalization through histogram equalization module 104;
C2, calculate the visible light distance of said people's face visible images and said visible light training image, and calculate the near infrared distance of said people's face near-infrared image and said near infrared training image through said distance calculation module 105;
C3, respectively said visible light distance and said near infrared distance is carried out normalization through normalization module 106.
E, calculate the weighted sum of said visible light distance and said near infrared distance through image authentication module 108; Said weighted sum that draws and setting weighted sum threshold values are compared; If the said weighted sum that draws is greater than setting the weighted sum threshold values, then authentication is not passed through, and is judged to be the disabled user and stops authentication; Otherwise, carry out next step;
D, through live body detection module 107 with the said visible light distance of minimum with set visible light relatively apart from threshold values; And with the said near infrared distance of minimum with set near infrared relatively apart from threshold values, if minimum said visible light distance less than setting visible light apart from threshold values, and minimum said 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, the said people's face visible images that authentication is passed through through training sample update module 109 are set at said visible light training image and updated stored in the database 101 of steps A, and said people's face near-infrared image that authentication is passed through is set at said near infrared training image and updated stored in the database 101 of steps A.
Wherein, the order of said step D and said 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 said weighted sum that draws in the said step e is d, and said visible light distance is d
1, said near infrared distance is d
2, d=0.3 d then
1+ 0.7 d
2, said setting weighted sum threshold values is preferably 0.32.
Setting visible light among the said step D is preferably 0.35 apart from threshold values, and said 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 the 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 the 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 bimodal face authentication system implementation example two with live body measuring ability; Comprise whether the image capture module 102 of the visible light training image that stores known identities people face and the database 101 of near infrared training image, the visible images that can gather head part to be certified simultaneously and near-infrared image, distance calculation module 105, decidable people's face to be certified that can calculate the visible light distance of people's face visible images and said visible light training image in the said visible images and calculate the near infrared distance of people's face near-infrared image and said near infrared training image in the said near-infrared image are 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 said distance calculation module 105 is connected with the output terminal of said database 101, the output terminal of said image capture module 102 respectively; The output terminal of said distance calculation module 105 is connected with the input end of said image authentication module 108, and the output terminal of said image authentication module 108 is connected with the input end of said 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 said image authentication module 108 is connected with the input end of said training sample update module 109; The output terminal of said training sample update module 109 is connected with the input end of said database 101, and said image capture module 102 comprises at least two visible image capturing heads, is coated with optical filter on one of them said visible image capturing head.
As shown in Figure 4; Said bimodal face authentication system with live body measuring ability also comprises histogram equalization module 104, normalization module 106 and can judge whether from said visible images and said near-infrared image, to detect simultaneously people's face detection module 103 of people's face; Wherein, The input end of said people's face detection module 103 is connected with the output terminal of said image capture module 102; The output terminal of said people's face detection module 103 is connected with the input end of said image capture module 102 and the input end of said histogram equalization module 104 respectively; The output terminal of said histogram equalization module 104 is connected with the input end of said distance calculation module 105; The input end of said normalization module 106 links to each other with the output terminal of said distance calculation module 105, and the output terminal of said normalization module 106 is connected with the input end of said live body detection module 107.
The practical operation of a kind of bimodal face authentication system implementation example two with live body measuring ability provided by the invention can be: the user is the touch-screen input its ID number of the bimodal face authentication system through having the live body measuring ability at first; System accepts this ID number; Trigger two camera work immediately; And the simultaneously visible images and the near-infrared image of shooting people face; 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 through 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 bimodal face authentication system implementation example two preferred employings provided by the invention with 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 through 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 is to combine concrete preferred implementation to the further explain that the present invention did, and can not assert that practical implementation of the present invention is confined to these explanations.For the those of ordinary skill of technical field under the present invention, under the prerequisite that does not break away from the present invention's design, can also make some simple deduction or replace, all should be regarded as belonging to protection scope of the present invention.
Claims (8)
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 through image capture module;
C, calculate people's face visible images and the visible light distance of said visible light training image in the said visible images, and calculate people's face near-infrared image and the near infrared distance of said near infrared training image in the said near-infrared image through distance calculation module;
D, through the live body detection module with the said visible light distance of minimum with set visible light relatively apart from threshold values; And with the said near infrared distance of minimum with set near infrared relatively apart from threshold values, if minimum said visible light distance less than setting visible light apart from threshold values, and minimum said 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 said visible light distance and said near infrared distance through the image authentication module; Said weighted sum that draws and setting weighted sum threshold values are compared; If the said weighted sum that draws is greater than setting the weighted sum threshold values, then authentication is not passed through, and is judged to be the disabled user and stops authentication; Otherwise, carry out next step;
F, face authentication pass through;
Wherein, the order of said step D and said step e can be exchanged;
Said step C comprises following substep:
C1, people's face visible images in the said visible images and said visible light training image are carried out histogram equalization through the histogram equalization module;
C2, calculate the visible light distance of said people's face visible images and said visible light training image, and calculate people's face near-infrared image and the near infrared distance of said near infrared training image in the said near-infrared image through said distance calculation module;
C3, respectively said visible light distance and said near infrared distance is carried out normalization through the normalization module.
2. according to the said bimodal face authentication method with live body measuring ability of claim 1, it is characterized in that the said weighted sum that draws in the said step e is d, said visible light distance is d
1, said near infrared distance is d
2, d=0.3 d then
1+ 0.7 d
2, said setting weighted sum threshold values is 0.32.
3. according to the said bimodal face authentication method with live body measuring ability of claim 1, it is characterized in that: the setting visible light among the said step D is 0.35 apart from threshold values, and said setting near infrared is 0.6 apart from threshold values.
4. according to the said bimodal face authentication method of claim 1, it is characterized in that said step B comprises following substep with live body measuring ability:
B1, gather head part's to be certified said visible images and said near-infrared image simultaneously through said image capture module;
B2, judge whether and can from said visible images and said near-infrared image, detect people's face simultaneously through people's face detection module, if could not would return said step B1, if could would carry out next step.
5. according to the said bimodal face authentication method of claim 1, it is characterized in that said bimodal face authentication method with live body measuring ability is further comprising the steps of with live body measuring ability:
G, the said people's face visible images that authentication is passed through through the training sample update module are set at said visible light training image and updated stored in the database of steps A, and said people's face near-infrared image that authentication is passed through is set at said near infrared training image and updated stored in the database of steps A.
6. 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, the visible images that can gather head part to be certified simultaneously and near-infrared image image capture module, can calculate the visible light distance of people's face visible images and said visible light training image in the said visible images and calculate the near infrared distance of people's face near-infrared image and said near infrared training image in the said near-infrared image distance calculation module, can judge whether people's face to be certified is the live body detection module of live body and can judge whether people's face to be certified is the image authentication module of validated user; Wherein, The input end of said distance calculation module is connected with the output terminal of said database, the output terminal of said image capture module respectively; The output terminal of said distance calculation module is connected with the input end of said live body detection module; The output terminal of said live body detection module is connected with the input end of said image authentication module; Wherein, Said bimodal face authentication system with live body measuring ability also comprises histogram equalization module, normalization module and can judge whether from said visible images and said near-infrared image, to detect simultaneously people's face detection module of people's face; Wherein, The input end of said people's face detection module is connected with the output terminal of said image capture module; The output terminal of said people's face detection module is connected with the input end of said image capture module and the input end of said histogram equalization module respectively; The output terminal of said histogram equalization module is connected with the input end of said distance calculation module, and the input end of said normalization module links to each other with the output terminal of said distance calculation module, and the output terminal of said normalization module is connected with the input end of said live body detection module.
7. according to the said bimodal face authentication system of claim 6 with live body measuring ability; It is characterized in that: said bimodal face authentication system with live body measuring ability comprises the training sample update module; The output terminal of said image authentication module is connected with the input end of said training sample update module; The output terminal of said training sample update module is connected with the input end of said database; Said image capture module comprises at least two visible image capturing heads, is coated with optical filter on one of them said visible image capturing head.
8. 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, the visible images that can gather head part to be certified simultaneously and near-infrared image image capture module, can calculate the visible light distance of people's face visible images and said visible light training image in the said visible images and calculate the near infrared distance of people's face near-infrared image and said near infrared training image in the said near-infrared image distance calculation module, can judge whether people's face to be certified is the live body detection module of live body and can judge whether people's face to be certified is the image authentication module of validated user; Wherein, The input end of said distance calculation module is connected with the output terminal of said database, the output terminal of said image capture module respectively; The output terminal of said distance calculation module is connected with the input end of said image authentication module; The output terminal of said image authentication module is connected with the input end of said live body detection module; Wherein, Said bimodal face authentication system with live body measuring ability also comprises histogram equalization module, normalization module and can judge whether from said visible images and said near-infrared image, to detect simultaneously people's face detection module of people's face; Wherein, The input end of said people's face detection module is connected with the output terminal of said image capture module; The output terminal of said people's face detection module is connected with the input end of said image capture module and the input end of said histogram equalization module respectively; The output terminal of said histogram equalization module is connected with the input end of said distance calculation module, and the input end of said normalization module links to each other with the output terminal of said distance calculation module, and the output terminal of said normalization module is connected with the input end of said live body detection module.
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