Universiti Teknologi Malaysia Institutional Repository

CSLDA and LDA fusion based face recognition

Razzak, M. I. and Khan, M. K. and Alghathbar, K. and Yusof, Rubiyah (2011) CSLDA and LDA fusion based face recognition. Przeglad Elektrotechniczny, 87 (1). pp. 210-214. ISSN 0033-2097

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Official URL: http://pe.org.pl/articles/2011/1/42.pdf


Face recognition has great demands and become one of the most important research area of pattern recognition but there are several issues involved in it. Unsupervised statistical methods i.e. PCA, LDA, ICA are the most popular algorithms in face recognition that finds the set of basis images and represents faces as linear combination of those images. This paper presents a novel layered face recognition method based on CSLDA and LDA. The basic aim is to decrease FAR by reducing the face dataset to very small size through layered linear discriminant analysis. Although the computational complexity at the time of recognition is much higher than conventional PCA and LDA because weights are computed for small subspace at time of recognition but it provide a good results especially for large dataset. CSLDA of LDA is insensitive to large dataset and also small sample size and it provided 84% accuracy on Banca face database. The proposed approach is also applicable on other applications and recognition methods i.e. PCA, KDA, DLDA etc.

Item Type:Article
Uncontrolled Keywords:face recognition, fuzzy rules, LDA, small sample size, SSS, subspace
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:28819
Deposited By: Liza Porijo
Deposited On:29 Nov 2012 04:45
Last Modified:29 Nov 2012 04:45

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