A robust face recognition system
This paper proposes a robust face recognition system, by providing a strong discrimination power and cancelable mechanism to biometrics data. Fisher's Linear Discriminant uses pseudo Zemike moments to derive an enhanced feature subset. On the other hand, the revocation capability is formed by 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/2347/ http://shdl.mmu.edu.my/2347/1/A%20robust%20face%20recognition%20system.pdf |
| _version_ | 1848790031514206208 |
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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 robust face recognition system, by providing a strong discrimination power and cancelable mechanism to biometrics data. Fisher's Linear Discriminant uses pseudo Zemike moments to derive an enhanced feature subset. On the other hand, the revocation capability is formed by the combination of a tokenized pseudo-random data and the enhanced template. The inner product of these factors generates a user-specific binary code, face-Hash. This two-factor basis offers an extra protection layer against biometrics fabrication since face-Hash authenticator is replaceable via token replacement. |
| first_indexed | 2025-11-14T18:06:09Z |
| format | Article |
| id | mmu-2347 |
| 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-23472017-01-05T03:58:08Z http://shdl.mmu.edu.my/2347/ A robust face recognition system Pang, Ying Han Ngo, David Chek Ling Teoh, Andrew Ben Jin QA75.5-76.95 Electronic computers. Computer science This paper proposes a robust face recognition system, by providing a strong discrimination power and cancelable mechanism to biometrics data. Fisher's Linear Discriminant uses pseudo Zemike moments to derive an enhanced feature subset. On the other hand, the revocation capability is formed by the combination of a tokenized pseudo-random data and the enhanced template. The inner product of these factors generates a user-specific binary code, face-Hash. This two-factor basis offers an extra protection layer against biometrics fabrication since face-Hash authenticator is replaceable via token replacement. Springer Berlin Heidelberg 2005 Article NonPeerReviewed text en http://shdl.mmu.edu.my/2347/1/A%20robust%20face%20recognition%20system.pdf Pang, Ying Han and Ngo, David Chek Ling and Teoh, Andrew Ben Jin (2005) A robust face recognition system. Lecture Notes in Computer Science, 3809. pp. 1217-1220. ISSN 0302-9743 http://link.springer.com/chapter/10.1007/11589990_173 10.1007/11589990_173 10.1007/11589990_173 10.1007/11589990_173 |
| spellingShingle | QA75.5-76.95 Electronic computers. Computer science Pang, Ying Han Ngo, David Chek Ling Teoh, Andrew Ben Jin A robust face recognition system |
| title | A robust face recognition system |
| title_full | A robust face recognition system |
| title_fullStr | A robust face recognition system |
| title_full_unstemmed | A robust face recognition system |
| title_short | A robust face recognition system |
| title_sort | robust face recognition system |
| topic | QA75.5-76.95 Electronic computers. Computer science |
| url | http://shdl.mmu.edu.my/2347/ http://shdl.mmu.edu.my/2347/ http://shdl.mmu.edu.my/2347/ http://shdl.mmu.edu.my/2347/1/A%20robust%20face%20recognition%20system.pdf |