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Two-dimensional FLD for face recognition
Authors:Huilin Xiong  M.O. Ahmad
Affiliation:Department of Electrical and Computer Engineering, Concordia University, 1455 de Maisonneuve Blvd. West, Montreal, Quebec, Canada H3G 1M8
Abstract:This paper presents a new scheme of face image feature extraction, namely, the two-dimensional Fisher linear discriminant. Experiments on the ORL and the UMIST face databases show that the new scheme outperforms the PCA and the conventional PCA+FLD schemes, not only in its computational efficiency, but also in its performance for the task of face recognition.
Keywords:Fisher criterion   Principal component analysis (PCA)   Linear discriminant analysis (LDA)
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