Title :
Coding Gabor Features for Multi-Modal Biometrics
Author :
Shen, Linlin ; Ji, Zhen ; Li, Yuwen ; Bai, Li
Author_Institution :
Shenzhen Key Lab. of Embedded Syst. Design, Shenzhen Univ., Shenzhen, China
Abstract :
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.
Keywords :
Gabor filters; biometrics (access control); feature extraction; image coding; image fusion; image recognition; Gabor feature coding; decision level fusion strategy; fusion code; hand based biometric; multimodal biometric; palmprint; personal identification; Accuracy; Biomedical imaging; Biometrics; Databases; Face; Feature extraction; Testing;
Conference_Titel :
Pattern Recognition (CCPR), 2010 Chinese Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-7209-3
Electronic_ISBN :
978-1-4244-7210-9
DOI :
10.1109/CCPR.2010.5659155