IDENTITY RECOGNITION SYSTEM AND METHOD BASED ON HYBRID BIOMETRICS
An identity recognition system and method capture an image of a subject that is projected by light of different wavelengths, extract various biometric informations from the image, analyze and compare for each of the biometric informations to generate a matching score, and determine an identity for the subject according to all of the matching scores. The system and method have higher recognition accuracy, lower false acceptance rate, lower false rejection rate, and higher flexibility.
1 . An identity recognition system based on hybrid biometrics, comprising:
a light source configured to provide light of different wavelengths under control to project on a subject;
an image sensor configured to capture an image of the subject to generate an image signal;
a recognition module coupled to the image sensor, configured to receive the image signal and extract various biometric informations from the image, analyze and compare for each of the biometric informations to generate a matching score; and
an analysis unit coupled to the recognition module, configured to determine an identity for the subject according to all of the matching scores.
2 . The identity recognition system of claim 1 , wherein the various biometric informations comprise a fingerprint feature and a vein feature.
3 . The identity recognition system of claim 2 , wherein the recognition module comprises:
a finger detection unit coupled to the image sensor, configured to analyze the image by a finger feature or a brightness variation of the image to detect presence and location of a finger, and extract the fingerprint feature and the vein feature from the image;
a fingerprint recognition unit coupled to the finger detection unit, configured to analyze and compare the fingerprint feature to generate a fingerprint matching score; and
a vein recognition unit coupled to the finger detection unit, configured to analyze and compare the vein feature to generate a vein matching score.
4 . The identity recognition system of claim 3 , wherein the analysis unit compares a sum of the fingerprint matching score and the vein matching score with a threshold to determine the identity of the subject.
5 . The identity recognition system of claim 3 , wherein the analysis unit compares the fingerprint matching score and the vein matching score with two thresholds, respectively, to determine the identity of the subject.
6 . The identity recognition system of claim 1 , wherein the various biometric informations comprise a face feature and an iris feature.
7 . The identity recognition system of claim 6 , wherein the recognition module comprises:
a face detection unit coupled to the image sensor, configured to analyze the image by the face feature or a brightness variation of the image to detect presence and location of a face, and extract the face feature from the image;
a face recognition unit coupled to the face detection unit, configured to analyze and compare the face feature to generate a face matching score;
an iris detection unit coupled to the image sensor, configured to extract the iris feature from the image; and
an iris recognition unit coupled to the iris detection unit, configured to analyze and compare the iris feature to generate an iris matching score.
8 . The identity recognition system of claim 7 , wherein the analysis unit compares a sum of the face matching score and the iris matching score with a threshold to determine the identity of the subject.
9 . The identity recognition system of claim 7 , wherein the analysis unit compares the face matching score and the iris matching score with two thresholds, respectively, to determine the identity of the subject.
10 . The identity recognition system of claim 1 , wherein the various biometric informations comprise a fingerprint feature, a vein feature, and a face feature.
11 . The identity recognition system of claim 10 , wherein the recognition module comprises:
a finger detection unit coupled to the image sensor, configured to analyze the image by a finger feature or a brightness variation of the image to detect presence and location of a finger, and extract the fingerprint feature and the vein feature from the image;
a fingerprint recognition unit coupled to the finger detection unit, configured to analyze and compare the fingerprint feature to generate a fingerprint matching score;
a vein recognition unit coupled to the finger detection unit, configured to analyze and compare the vein feature to generate a vein matching score;
a face detection unit coupled to the image sensor, configured to analyze the image by the face feature or a brightness variation of the image to detect presence and location of a face, and extract the face feature from the image; and
a face recognition unit coupled to the face detection unit, configured to analyze and compare the face feature to generate a face matching score.
12 . The identity recognition system of claim 11 , wherein the analysis unit compares a sum of the fingerprint matching score, the vein matching score, and the face matching score with a threshold to determine the identity of the subject.
13 . The identity recognition system of claim 11 , wherein the analysis unit compares the fingerprint matching score, the vein matching score, and the face matching score with three thresholds, respectively, to determine the identity of the subject.
14 . The identity recognition system of claim 1 , further comprising a light controller coupled to the light source, configured to adjust a light intensity of the light source.
15 . The identity recognition system of claim 1 , further comprising an autofocus lens module between the image sensor and the subject.
16 . An identity recognition method based on hybrid biometrics, comprising:
a.) providing light of different wavelengths to project on a subject;
b.) capturing an image of the subject;
c.) extracting various biometric informations from the image;
d.) analyzing and comparing for each of the biometric informations to generate a matching score; and
e.) determining an identity for the subject according to all of the matching scores.
17 . The identity recognition method of 16 , wherein the step c comprises extracting a fingerprint feature and a vein feature.
18 . The identity recognition method of 17 , wherein the step d comprises:
analyzing and comparing the fingerprint feature to generate a fingerprint matching score; and
analyzing and comparing the vein feature to generate a vein matching score.
19 . The identity recognition method of 18 , wherein the step e comprises comparing a sum of the fingerprint matching score and the vein matching score with a threshold to determine the identity of the subject.
20 . The identity recognition method of 18 , wherein the step e comprises comparing the fingerprint matching score and the vein matching score with two thresholds, respectively, to determine the identity of the subject.
21 . The identity recognition method of 16 , wherein the step c comprises extracting a face feature and an iris feature.
22 . The identity recognition method of 21 , wherein the step d comprises:
analyzing and comparing the face feature to generate a face matching score; and
analyzing and comparing the iris feature to generate an iris matching score.
23 . The identity recognition method of 22 , wherein the step e comprises comparing a sum of the face matching score and the iris matching score with a threshold to determine the identity of the subject.
24 . The identity recognition method of 22 , wherein the step e comprises comparing the face matching score and the iris matching score with two thresholds, respectively, to determine the identity of the subject.
25 . The identity recognition method of 16 , wherein the step c comprises extracting a fingerprint feature, a vein feature, and a face feature.
26 . The identity recognition method of 25 , wherein the step d comprises:
analyzing and comparing the fingerprint feature to generate a fingerprint matching score;
analyzing and comparing the vein feature to generate a vein matching score; and
analyzing and comparing the face feature to generate a face matching score.
27 . The identity recognition method of 26 , wherein the step e comprises comparing a sum of the fingerprint matching score, the vein matching score, and the face matching score with a threshold to determine the identity of the subject.
28 . The identity recognition method of 18 , wherein the step e comprises comparing the fingerprint matching score, the vein matching score, and the face matching score with three thresholds, respectively, to determine the identity of the subject.
29 . The identity recognition method of 16 , further comprising generating a control signal according to a brightness of the image for adjusting an intensity of the light.
30 . The identity recognition method of 16 , wherein the step b comprises adjusting a focal length for capturing the image from a different depth of field.