An Improved LDA Approach

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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: 18
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.ch007

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

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Abstract

This chapter gives an improved LDA (ILDA) approach. After a short review and comparison of major linear discrimination methods, including the eigenface method, fisherface method, DLDA and UODV, we introduce definitions and notations. Then, the approach description of ILDA is presented. Next, we show some experimental results. Finally, we summarize some useful conclusions.

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An Improved LDA Approach

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