Title :
An Improved Face Recognition Method Based on Gabor Wavelet Transform and SVM
Author :
Zaiying Liu ; Lixiao Zhang ; Linling Zhu
Author_Institution :
Inst. of Inf. Sci., Shanghai Sanda Univ., Shanghai, China
Abstract :
This paper proposed an improved face recognition method based on Gabor wavelet transform and SVM. Firstly, the approach utilizes discrete Gabor wavelet transform to face images. then the dimensions of Gabor feature vectors are reduced and transform feature base can be got by using the improved Fisher face method proposed in this paper. by projecting the face image onto the base, the transform coefficient used to be the input of classifier can be got. Finally face image can be classified using a SVM with error correction. Experiment results show that the method of this paper is robust and effective.
Keywords :
face recognition; feature extraction; support vector machines; wavelet transforms; Fisherface method; SVM; discrete Gabor wavelet transform; face images; face recognition method; feature base; Classification algorithms; Face; Face recognition; Support vector machines; Training; Wavelet transforms; Gabor wavelet transform; SVM; face recognition;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-2646-9
DOI :
10.1109/ISCID.2012.101
