2D Direct LDA Algorithm for Face Recognition

Authors:
Dong Uk Cho;Un Dong Chang;Bong Hyun Kim;Se Hwan Lee;Young Lae J.Bae;Soo Cheol Ha
Affiliations:
Chungbuk Provincial University of Science & Technology, Chungbuk, South Korea;Chungbuk National University, Chungbuk, South Korea;Hanbat National University, Daejeon, South Korea;Daejeon, South Korea;Chungbuk Provincial University of Science & Technology, Chungbuk, South Korea;Daejeon University, Daejeon, South Korea
Venue:
SERA '06 Proceedings of the Fourth International Conference on Software Engineering Research, Management and Applications
Year:
2006

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Abstract

A new low-dimensional feature representation technique is presented in this paper. Linear discriminant analysis is a popular feature extraction method. However, in the case of high dimensional data, the computational difficulty and the small sample size problem are often encountered. In order to solve these problems, we propose Two Dimensional Direct LDA algorithm named 2D-DLDA, which directly extracts the image scatter matrix from 2D image and uses Direct LDA algorithm for face recognition. The ORL face database is used to evaluate the performance of the proposed method. The experimental results indicate that the performance of the proposed method is superior to DLDA.