TY - GEN
T1 - Coding gabor features for multi-modal biometrics
AU - Shen, Linlin
AU - Ji, Zhen
AU - Li, Yuwen
AU - Bai, Li
PY - 2010
Y1 - 2010
N2 - Although biometrics technology has progressed substantially, its performance is still to be improved for real applications. This paper aims to improve the accuracy of personal identification, when only single sample is registered as template, by integrating multiple hand-based biometrics. To make fusion much easier, the same feature, so called fusion code, and decision level fusion strategy are used. Two fusion cases, face & palmprint and FKP & palmprint were taken as examples to verify the effectiveness. Experimental results show that much better performance than single modal biometrics has been achieved.
AB - Although biometrics technology has progressed substantially, its performance is still to be improved for real applications. This paper aims to improve the accuracy of personal identification, when only single sample is registered as template, by integrating multiple hand-based biometrics. To make fusion much easier, the same feature, so called fusion code, and decision level fusion strategy are used. Two fusion cases, face & palmprint and FKP & palmprint were taken as examples to verify the effectiveness. Experimental results show that much better performance than single modal biometrics has been achieved.
KW - Fusion
KW - Gabor feature
KW - Multi-modal biometrics
UR - http://www.scopus.com/inward/record.url?scp=78651422732&partnerID=8YFLogxK
U2 - 10.1109/CCPR.2010.5659155
DO - 10.1109/CCPR.2010.5659155
M3 - Conference contribution
AN - SCOPUS:78651422732
SN - 9781424472109
T3 - 2010 Chinese Conference on Pattern Recognition, CCPR 2010 - Proceedings
SP - 217
EP - 220
BT - 2010 Chinese Conference on Pattern Recognition, CCPR 2010 - Proceedings
T2 - 2010 Chinese Conference on Pattern Recognition, CCPR 2010
Y2 - 21 October 2010 through 23 October 2010
ER -