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http://dx.doi.org/10.5391/JKIIS.2007.17.2.252

A Study on the Face Recognition Using PCA Algorithm  

Lee, John-Tark (Dept. of Electrical Engineering, Dong A University)
Kueh, Lee-Hui (Dept. of Electrical Engineering, Dong A University)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.17, no.2, 2007 , pp. 252-258 More about this Journal
Abstract
In this paper, a face recognition algorithm system using Principal Component Analysis (PCA) is proposed. The algorithm recognized a person by comparing characteristics (features) of the face to those of known individuals of Intelligent Control Laboratory (ICONL) face database. Simulations are carried out to investigate the algorithm recognition performance, which classified the face as a face or non-face and then classified it as known or unknown one. Particularly, a Principal Components of Linear Discriminant Analysis (PCA + LDA) face recognition algorithm is also proposed in order to confirm the recognition performances and the adaptability of a proposed PCA for a certain specific system.
Keywords
Face recognition; Principal Component Analysis (PCA) Algorithm; Intelligent Control Laboratory (ICONL) database; Linear Discriminant Analysis (LDA) Algorithm;
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