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Weighted LDA image projection technique for face recognition
Author(s)
Sanayha, Waiyawut
Rangsanseri, Yuttapong
Date Issued
January 1, 2009
Type
Article
Abstract
In this paper, we propose a novel image projection technique for face recognition applications based on Fisher Linear Discriminant Analysis (LDA). The projection is performed through a couple subspace analysis for overcoming the "small sample size" problem. Also, weighted pairwise discriminant hyperplanes are used in order to provide a more accurate discriminant decision than that produced by the conventional LDA. The proposed technique has been successfully tested on three face databases. Experimental results indicate that the proposed algorithm outperforms the conventional algorithms. Copyright © 2009 The Institute of Electronics, Information and Communication Engineers.
Citation
IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, E92-A(9), 2257-2265, 2009