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Research on Kernel-Based Feature Fusion Algorithm in Multimodal Recognition

Authors :
Xu Xiaona
Pan Xiuqin
Zhao Yue
Pu Qiumei
Source :
2009 International Conference on Information Technology and Computer Science.
Publication Year :
2009
Publisher :
IEEE, 2009.

Abstract

Ear and face based multimodal recognition could fully utilize their connection relationship, and implement recognizing people without their cooperation because of ear’s special physiological location and structure. In this paper akernel-based feature fusion algorithm is presented and applied to multimodal recognition based on fusing ear and face. With the algorithm, the associated feature vectors of ear and profile face are established for the following classification. The experimental results show that the method is efficient for feature fusion, and the multimodal recognition based on ear and profile face performs better than ear or profile face unimodal biometric recognition.

Details

Database :
OpenAIRE
Journal :
2009 International Conference on Information Technology and Computer Science
Accession number :
edsair.doi...........b0ca7e4ccd6d4ea9488378e311f2e824