Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/10097
Title: Improvements on the linear discrimination technique with application to face recognition
Authors: Jing, XY
Zhang, D 
Yao, YF
Keywords: Face recognition
Linear discrimination
Principal component selection
Small sample size problem
Within-class scatter estimation
Issue Date: 2003
Source: Pattern recognition letters, 2003, v. 24, no. 15, p. 2695-2701 How to cite?
Journal: Pattern Recognition Letters 
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.
URI: http://hdl.handle.net/10397/10097
ISSN: 0167-8655
DOI: 10.1016/S0167-8655(03)00112-0
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