Title: Face Recognition Method Based on Principal Component Analysis
Abstract: PCA(Principal Component Analysis) is the most used method in human face recognition.PCA algorithm can get the linear transformation matrix which transform a high-dimensional to low-dimensional space,can approximate the original data with lower dimension feature vector.This transformation matrix can be used to obtain a subspace(eigenfaces).When identifying,the face is projected to the subspace,using nearest neighbor method has been a recent point in order to identify the identity of the person.
Publication Year: 2010
Publication Date: 2010-01-01
Language: en
Type: article
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Cited By Count: 2
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