Statistical Uncorrelation Analysis

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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: 17
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.ch005

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

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Abstract

This chapter shows a special LDA approach called optimal discrimination vectors (ODV), which requires that every discrimination vector satisfy the Fisher criterion. After introduction, we first give some basic definitions. Then, uncorrelated optimal discrimination vectors (UODV) are proposed. Next, we introduce an improved UODV approach, and offer some experiments and analysis. Finally, we summarize some useful conclusions.

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