Face Recognition Based on Gabor Feature Extraction and Fractal Coding

Electronic Commerce and Security（2010）

Cited 8|Views2

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Abstract

A face recognition method that based on Gabor wavelet transform and fractal is proposed, Since Gabor feature is robust to illumination and expression variations and has been successfully used in face recognition area. First, the proposed method decomposes the normalized face image by convolving the face image with multi-scale and multi-orientation Gabor filters to extract their corresponding Gabor magnitude maps. Then, link each piece of Gabor feature image according to rows and columns, and wavelet transform is used in these linked Gabor feature image for dimensionality reduction, finally, fractal code is calculated in dimension reduction of Gabor feature image. Experiments show the new method works well.

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Key words

multiorientation gabor filters,image coding,fracta,face recognition,gabor feature image,gabor filters,wavelet transforms,face image,daubechies wavelet dimension reduction,fractals,gabor feature,gabor wavelet feature extraction,fractal coding,dimensionality reduction,gabor feature extraction,multi-orientation gabor filter,multiscale gabor filters,gabor magnitude maps,feature extraction,gabor wavelet transform,corresponding gabor magnitude map,face recognition area,face recognition method,expression variations,illumination,normalized face image,new method,dimension reduction,wavelet transform,face,gabor wavelets,databases,image recognition

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