Multimodal Biometric Recognition Based on Complex KFDA

Authors:
Zhifang Wang;Qiong Li;Xiamu Niu;Christoph Busch
Affiliations:
-;-;-;-
Venue:
IAS '09 Proceedings of the 2009 Fifth International Conference on Information Assurance and Security - Volume 02
Year:
2009

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A robust face and ear based multimodal biometric system using sparse representation

Pattern Recognition

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Abstract

A novel multimodal biometric recognition algorithm based on complex kernel Fisher discriminant analysis (complex KFDA) is proposed. Complex KFDA exploits two phases to generalize KFDA and perform classification for the fusion feature set: complex KPCA plus complex LDA. As two distinct biometric modals, the features of iris and face are fused in parallel to test our algorithm. Experimental results show that the proposed algorithm achieves much better performance than other conventional multimodal biometric algorithms.