Improvements on the linear discrimination technique with application to face recognition

Authors:
Xiao-Yuan Jing;David Zhang;Yong-Fang Yao
Affiliations:
Centre for Multimedia Signal Processing and Department of Computing, Hong Kong Polytechnic University, Flat PQ717, Kowloon, Hung Hom, Hong Kong;Centre for Multimedia Signal Processing and Department of Computing, Hong Kong Polytechnic University, Flat PQ717, Kowloon, Hung Hom, Hong Kong;Centre for Multimedia Signal Processing and Department of Computing, Hong Kong Polytechnic University, Flat PQ717, Kowloon, Hung Hom, Hong Kong
Venue:
Pattern Recognition Letters
Year:
2003

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Abstract

In this paper, new improvements for the linear discrimination technique are proposed. These improvements include effective solutions for the small sample size problem, the selection of appropriate principal component and more accurate within-class scatter estimation for the Fisher criterion. The effectiveness of our approach is proved by experimental results on the Yale face database.