Title: Research on Face Recognition Methods Based on Principal Component Analysis
Abstract: A method for face recognition based on principal component analysis (PCA) is described.Transforming face image training sets using PCA,subspace of feature is extracted from the transformation matrix by singular value decomposition,the training images and test images is projected in the subspace,select classifier for face recognition.Experimental results show that PCA is well in the subspace of face images to extract feature information in order to achieve face recognition.
Publication Year: 2010
Publication Date: 2010-01-01
Language: en
Type: article
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