Binarized revocable biometrics in face recognition
This paper proposes a novel revocable two-factor authentication approach which combines user-specific tokenized pseudo-random bit sequence with biometrics data via a logic operation. Through the process, a distinct binary code per person, coined as bio-Bit, is formed. There is no deterministic way t...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Springer Berlin Heidelberg
2005
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| Subjects: | |
| Online Access: | http://shdl.mmu.edu.my/2348/ http://shdl.mmu.edu.my/2348/1/Binarized%20revocable%20biometrics%20in%20face%20recognition.pdf |
| _version_ | 1848790031766913024 |
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| author | Pang, Ying Han Ngo, David Chek Ling Teoh, Andrew Ben Jin |
| author_facet | Pang, Ying Han Ngo, David Chek Ling Teoh, Andrew Ben Jin |
| author_sort | Pang, Ying Han |
| building | MMU Institutional Repository |
| collection | Online Access |
| description | This paper proposes a novel revocable two-factor authentication approach which combines user-specific tokenized pseudo-random bit sequence with biometrics data via a logic operation. Through the process, a distinct binary code per person, coined as bio-Bit, is formed. There is no deterministic way to acquire bio-Bit without having both factors. This feature offers an extra protection layer against biometrics fabrication since bio-Bit authenticator is replaceable via token replacement. The proposed method also presents functional advantages of obtaining zero equal error rate and yielding a clean separation between the genuine and imposter populations. Thereby, false accept rate can be eradicated without suffering from the increased occurrence of false reject rate. |
| first_indexed | 2025-11-14T18:06:09Z |
| format | Article |
| id | mmu-2348 |
| institution | Multimedia University |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T18:06:09Z |
| publishDate | 2005 |
| publisher | Springer Berlin Heidelberg |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-23482017-01-05T03:50:58Z http://shdl.mmu.edu.my/2348/ Binarized revocable biometrics in face recognition Pang, Ying Han Ngo, David Chek Ling Teoh, Andrew Ben Jin QA75.5-76.95 Electronic computers. Computer science This paper proposes a novel revocable two-factor authentication approach which combines user-specific tokenized pseudo-random bit sequence with biometrics data via a logic operation. Through the process, a distinct binary code per person, coined as bio-Bit, is formed. There is no deterministic way to acquire bio-Bit without having both factors. This feature offers an extra protection layer against biometrics fabrication since bio-Bit authenticator is replaceable via token replacement. The proposed method also presents functional advantages of obtaining zero equal error rate and yielding a clean separation between the genuine and imposter populations. Thereby, false accept rate can be eradicated without suffering from the increased occurrence of false reject rate. Springer Berlin Heidelberg 2005 Article NonPeerReviewed text en http://shdl.mmu.edu.my/2348/1/Binarized%20revocable%20biometrics%20in%20face%20recognition.pdf Pang, Ying Han and Ngo, David Chek Ling and Teoh, Andrew Ben Jin (2005) Binarized revocable biometrics in face recognition. Lecture Notes in Computer Science, 3802. pp. 788-795. ISSN 0302-9743 http://link.springer.com/chapter/10.1007/11596981_115 10.1007/11596981_115 10.1007/11596981_115 10.1007/11596981_115 |
| spellingShingle | QA75.5-76.95 Electronic computers. Computer science Pang, Ying Han Ngo, David Chek Ling Teoh, Andrew Ben Jin Binarized revocable biometrics in face recognition |
| title | Binarized revocable biometrics in face recognition |
| title_full | Binarized revocable biometrics in face recognition |
| title_fullStr | Binarized revocable biometrics in face recognition |
| title_full_unstemmed | Binarized revocable biometrics in face recognition |
| title_short | Binarized revocable biometrics in face recognition |
| title_sort | binarized revocable biometrics in face recognition |
| topic | QA75.5-76.95 Electronic computers. Computer science |
| url | http://shdl.mmu.edu.my/2348/ http://shdl.mmu.edu.my/2348/ http://shdl.mmu.edu.my/2348/ http://shdl.mmu.edu.my/2348/1/Binarized%20revocable%20biometrics%20in%20face%20recognition.pdf |