Two-Directional PCA/LDA

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Author(s): 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)
Copyright: 2006
Pages: 42
Source title: Biometric Image Discrimination Technologies: Computational Intelligence and its Applications Series
Source Author(s)/Editor(s): 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.ch012

Keywords: Biometrics / Biotechnology and Bioinformatics / Engineering Science Reference / Medicine & Healthcare

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Abstract

This chapter introduces a two-directional PCA/LDA approach that is a useful statistical technique applied to biometric authentication. We first describe both bi-directional PCA (BDPCA) and BDPCA plus LDA. Then, some basic models and definitions related to two-directional PCA/LDA approach are given. Next, we discuss two-directional PCA plus LDA. And, finally, the experimental results and chapter summary are given.

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