Title: LDA for face recognition based on image segmentation
Abstract: A method of LDA for face recognition is presented,based on image segmentation.Firstly,in the method,the original images are divided into block images,which are also called sub-images.Then,the well-known LDA method is directly employed to the sub-images obtained from the previous step,and the new lower dimensionality patterns that replace the original patterns are obtained.Finally the recognition results are obtained by the general minimum distance classifier.This method is introduced to overcome the draw-backs existing in the traditional LDA method.The advantage of the represented way is that the local discriminant features of the original image is efficiently extracted.The experimental results show that the proposed method is superior to Fisherfaces at the recognition rates.
Publication Year: 2007
Publication Date: 2007-01-01
Language: en
Type: article
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Cited By Count: 4
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