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Elsevier, Procedia Environmental Sciences, (11), p. 139-146, 2011

DOI: 10.1016/j.proenv.2011.12.022

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A real-time face recognition system based on BDPCA plus BDDLDA

Journal article published in 2011 by Jing Li, Zehong Yang, Yixu Song, Quan Yang, Fangwen Zhai
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Holistic-based methods, especially principal component analysis(PCA) and linear discriminant analysis(LDA), are very popularly used in face recognition. In last several years, the direct LDA(D-LDA) method was suggested to overcome the so-call “small simple size” problem. Besides, the researchers suggest bidirectional PCA(BDPCA) method, which may be more real-time and effective than PCA, and proposed BDPCA plus LDA (BDPCA+LDA). In the same way, we suggest bidirectional D-LDA(BDDLDA) should be faster than D-LDA, and proposed BDPCA plus BDDLDA (BDPCA+BDDLDA). In this paper, we present a real-time face recognition system for operating system authentication based on BDPCA+BDDLDA. A face database, which was collected with a CCD camera on the laptop, is used to evaluate this system. Experimental results show that this practical system is real-time and effective.