TY - GEN
T1 - A robust face recognition system
AU - Pang, Ying Han
AU - Jin, Andrew Teoh Beng
AU - Ling, David Ngo Chek
PY - 2005
Y1 - 2005
N2 - 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 Zernike 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, faceHash. This two-factor basis offers an extra protection layer against biometrics fabrication since face-Hash authenticator is replaceable via token replacement.
AB - 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 Zernike 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, faceHash. This two-factor basis offers an extra protection layer against biometrics fabrication since face-Hash authenticator is replaceable via token replacement.
UR - http://www.scopus.com/inward/record.url?scp=33745609004&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33745609004&partnerID=8YFLogxK
U2 - 10.1007/11589990_173
DO - 10.1007/11589990_173
M3 - Conference contribution
AN - SCOPUS:33745609004
SN - 3540304622
SN - 9783540304623
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 1217
EP - 1220
BT - AI 2005
T2 - 18th Australian Joint Conference on Artificial Intelligence, AI 2005: Advances in Artificial Intelligence
Y2 - 5 December 2005 through 9 December 2005
ER -