Adaptive feature set updating algorithm for multimodal biometrics

Authors:
H B Kekre;V A Bharadi
Affiliations:
MPSTM, NMIMS University, Mumbai;MPSTM, NMIMS University, Mumbai
Venue:
Proceedings of the International Conference on Advances in Computing, Communication and Control
Year:
2009

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Abstract

Multimodal Biometrics is an emerging domain in biometric technology where we combine more than one biometric trait to improve the performance. Here we propose a new concept that can be used in designing future multimodal biometrics systems which can adapt to the change in the biometrics features like face, voice, signature, and gait over the time or any other factor without compromising the security. We adapt to the change in biometric features by updating feature set without re-enrollment of entire set. This technique requires use of at least one biometric feature which has very low variance or high degree of permanence, like Fingerprint, Iris, Retina etc. This algorithm can address the problem of false rejection caused by sustained change in biometric features due to aging or any other factor without the need of re-enrollment of feature set. We suggest architecture of Multimodal biometric system implementing this algorithm.