A robust face recognition system

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

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Abstract

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.

Item Type: Article
Additional Information: Book Title: AI 2005: Advances in Artificial Intelligence Book Subtitle: 18th Australian Joint Conference on Artificial Intelligence, Sydney, Australia, December 5-9, 2005. Proceedings ISBN: 978-3-540-30462-3
Subjects: Q Science > QA Mathematics > QA75.5-76.95 Electronic computers. Computer science
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 23 Aug 2011 07:23
Last Modified: 05 Jan 2017 03:58
URI: http://shdl.mmu.edu.my/id/eprint/2347

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