Feature Fusion Using Complex Descriminator

Feature Fusion Using Complex Descriminator

David Zhang (Hong Kong Polytechnic University, Hong Kong), Xiao-Yuan Jing (ShenZhen Graduate School of Harbin Institute of Technology, China) and Jian Yang (Hong Kong Polytechnic University, Hong Kong)
DOI: 10.4018/978-1-59140-830-7.ch013
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Abstract

This chapter describes feature fusion techniques using complex discriminator. After the introduction, we first introduce serial and parallel feature fusion strategies. Then, the complex linear projection analysis methods, complex PCA and complex LDA, are developed. Next, some feature preprocessing techniques are given. The symmetry property of parallel feature fusion is analyzed and revealed. Then, the proposed methods are applied to biometric applications, related experiments are performed and the detailed comparison analysis is exhibited. Finally, a summary is given.

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