Title: Method for face description and recognition by local multi-channel Gabor filters and ICA
Abstract: Face recognition is an active research area in the artificial intelligence.This paper proposed a new face recognition algorithm using the RBF network based on local multi-channel Gabor filters and fixed point ICA(LMGICA).The normalized face image was firstly sampled and blocked,and then the blocked face image was filtered by multi-orientation Gabor filters with multi-scale to extract their corresponding local Gabor magnitude map(LGMM),which were constructed to higher dimensional feature vectors.Next,reduced the dimensionality of these vectors by means of principal component analysis(PCA).Finally,analyzed and extracted the independent components in the resulting vectors with dimensionality were reduced by using ICA recognition classification.The experiment results demonstrate and evaluate performance of the method compared by the classic Gabor filters and PCA,ICA.
Publication Year: 2008
Publication Date: 2008-01-01
Language: en
Type: article
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