TY - GEN
T1 - Error-rate based biometrics fusion
AU - Toh, Kar Ann
PY - 2007
Y1 - 2007
N2 - This paper addresses the face verification problem by fusing visual and infra-red face verification systems. Unlike the conventional least squares error minimization approach which involves fitting of a learning model to data density and then perform a threshold process for error counting, this work directly formulates the required target error count rate in terms of design model parameters. A simple power series model is adopted as the fusion classifier and our experiments show promising results.
AB - This paper addresses the face verification problem by fusing visual and infra-red face verification systems. Unlike the conventional least squares error minimization approach which involves fitting of a learning model to data density and then perform a threshold process for error counting, this work directly formulates the required target error count rate in terms of design model parameters. A simple power series model is adopted as the fusion classifier and our experiments show promising results.
UR - http://www.scopus.com/inward/record.url?scp=37849049374&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=37849049374&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-74549-5_21
DO - 10.1007/978-3-540-74549-5_21
M3 - Conference contribution
AN - SCOPUS:37849049374
SN - 9783540745488
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 191
EP - 200
BT - Advances in Biometrics - International Conference, ICB 2007, Proceedings
PB - Springer Verlag
T2 - 2007 International Conference on Advances in Biometrics, ICB 2007
Y2 - 27 August 2007 through 29 August 2007
ER -