Fusion of face and iris features for multimodal biometrics

Authors:
Ching-Han Chen;Chia Te Chu
Affiliations:
Institute of Electrical Engineering, I-Shou University, Kaohsiung County, Taiwan, R.O.C.;Institute of Electrical Engineering, I-Shou University, Kaohsiung County, Taiwan, R.O.C.
Venue:
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Year:
2006

Citing 7
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Abstract

The recognition accuracy of a single biometric authentication system is often much reduced due to the environment, user mode and physiological defects. In this paper, we combine face and iris features for developing a multimode biometric approach, which is able to diminish the drawback of single biometric approach as well as to improve the performance of authentication system. We combine a face database ORL and iris database CASIA to construct a multimodal biometric experimental database with which we validate the proposed approach and evaluate the multimodal biometrics performance. The experimental results reveal the multimodal biometrics verification is much more reliable and precise than single biometric approach.