Consent Biometrics

• US 20120249297A1
• Filed: 02/14/2012
• Published: 10/04/2012
• Est. Priority Date: 02/16/2011
• Status: Abandoned Application

• Current Assignee: Eliza Yingzi Du, Yang Kai
• Original Assignee: Eliza Yingzi Du, Yang Kai
• Inventors: Du, Eliza Yingzi, Yang, Kai
• Application Number:
  US13/396,551
• Publication Number:
  US 20120249297A1
• Time in Patent Office: Days
• US Class Current: 340/5.82
• CPC Class Codes: G07C 9/37 using biometric data, e.g. fingerprints, iris scans or voice recognition

Abstract

A system with its methods of detecting whether users are willing to access the biometric systems has been developed that includes acquiring the signal of an anatomical feature having a biometric feature, acquiring a dynamic feature for willingness test with/without biometric feature, isolating a region of the signal having the biometric feature, extracting feature descriptors from the region to identify a user, extracting a unique user consent signature from the dynamic feature for willingness test, storing the of feature descriptors and willingness signature into an electronic database and matching the feature descriptors and consent signatures with the ones stored in the electronic database during registration. Two types of consent biometrics schemes with two authentication example designs are developed.

Claims

1. A method for detecting whether users are willing to access biometric systems has been developed that includes:

acquiring the signal of a biological, psychological and/or behavior feature (or features) having a biometric feature (or biometric features);

acquiring a dynamic feature (or a series of dynamic features) for a willingness test;

isolating a region of the signal having the biometric feature;

extracting feature information from the region to identify a user;

extracting a user consent signature from the dynamic feature(s) for a willingness test;

storing the biometric feature information and consent signature into a database.

2. The method of claim 1 can be altered to include:

acquiring the signal of biological and/or behavior feature (or features) having a biometric feature (or biometric features);

isolating a region of the signal having the biometric feature;

extracting feature information from the region to identify a user;

extracting a user consent signature from the acquired biometric for willingness test;

storing the of biometric feature information and consent signature into a database.

3. The method of claim 1 can be altered to include:

acquiring a dynamic feature (or a series of dynamic features);

isolating a region of the signal having the biometric feature(s);

extracting feature information from the region to identify a user;

extracting a user consent signature from the dynamic feature(s) for willingness test;

storing the of biometric feature information and willingness signature into a database.

4. The methods of claims 1, 2, and 3, the stored information could be fused biometric feature information and/or a consent signature.

5. The method of claim 1, a biometric feature can be iris, fingerprint, face, hand geometry, palm, retina, skin, ear, ocular, DNA, any other biological, psychological and/or behavior patterns of a person, and any combinations of these biometric features that can be used for human identification/verification.

6. The method of claim 1, a dynamic feature can be eye movement, facial expression, finger movement, any other behavior and/or psychological patterns of a person, and/or any combinations of these patterns that can be extracted for behavior/psychological identification/verification.

7. The method of claim 1, a dynamic feature can also be used to extract a biometric feature.

8. The method of claim 1, a biometric feature can also be used to extract dynamic feature.

9. The method of claim 1, the acquisition method for a biometric feature and/or a dynamic feature can be close (which allows the contact of biometric trait with the sensor), and remote;

and can use video, audio, 3D video, multispectral image (video), hyperspectral image (video), magnetic resonance imaging (MRI), X-ray, any other sensing method, and any combinations of these methods that can be used for data acquisition.

10. The method of claim 1, the isolating method can be image segmentation, signal processing, data mining and signal extraction.

11. A method for including a user'"'"'s willingness into human identification or verification process has been developed that includes:

acquiring the signal of an anatomical feature having a biometric feature (or biometric features);

acquiring a dynamic feature (or a series of dynamic features) for a willingness test;

isolating a region of the signal having the biometric feature;

extracting feature information from the region to identify a user;

extracting a user consent signature from the dynamic feature(s) for a willingness test;

fusing the biometric feature and consent feature for human identification or verification;

storing of the feature information and consent signature into a database.

12. The method of claim 11 can be alternated to include:

acquiring the signal of a biological/behavior feature having a biometric feature (or biometric features);

isolating a region of the signal having the biometric feature;

extracting feature information from the region to identify a user;

extracting a user consent signature from the biometric feature(s);

fusing the biometric feature and willingness feature for human identification or verification;

storing of the feature information and willingness signature into a database.

13. The method of claim 11 can be alternated to include:

acquiring the signal of a dynamic feature (or a series of dynamic features);

isolating a region of the signal having the biometric feature;

extracting feature information from the region to identify a user;

extracting a user consent signature from the dynamic feature(s);

fusing the biometric feature and consent feature for human identification or verification;

storing of the feature information and consent signature into a database.

14. The methods of claims 11, 12, and 13, the stored information could be fused biometric feature information and consent signature.

15. The method of claim 11, a biometric feature can be iris, fingerprint, face, hand geometry, palm, retina, skin, ear, ocular, DNA, any other biological, psychological and/or behavior patterns of a person, and/or any combinations of these features that can be used for human identification/verification.

16. The method of claim 11, a dynamic feature can be eye movement, facial expression, finger movement, any other behavior/psychological patterns of a person, and any combinations of these patterns that can be extracted for behavior identification/verification.

17. The method of claim 11, a dynamic feature can also be used to extract a biometric feature.

18. The method of claim 11, a biometric feature can also be used to extract a dynamic feature.

19. The method of claim 11, the acquiring method for a biometric feature and/or a dynamic feature can be very close (which allows the contact of biometric trait with the sensor), and remote;

and can use video, audio, 3D video, multispectral image (video), hyperspectral image (video), magnetic resonance imaging (MRI), X-ray, any other sensing methods, and any combinations of these methods that can be used for data acquisition.

20. The method of claim 11, the isolating method can be image segmentation, signal processing, data mining and signal extraction.

21. The method of claim 11, a fusion method could be feature level, template level, information level fusion and/or combination of these levels.