Title: Face recognition based on diagonal Discrete Cosine Transform and Two-Dimensional Principal Component Analysis.
Abstract: Combined with Discrete Cosine Transform(DCT) and Two-Dimensional Principal Component Analysis(2DPCA),a novel method in face recognition was presented in this paper.Firstly,face image is turned into diagonal image,and dimension is reduced by DCT.Then image is reconstructed by IDCT.Secondly,2DPCA is used in feature extraction,and face recognition features are obtained.Finally,the Nearest Neighbor(NN) classifier is selected to perform face recognition.Experimental results on ORL(Olivetti Research Laboratory),damaged ORL and Yale face database show that the method is efficient in face recognition.
Publication Year: 2007
Publication Date: 2007-01-01
Language: en
Type: article
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Cited By Count: 1
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