DocumentCode :
478756
Title :
Local Feature Based Face Recognition
Author :
Huang, Mei ; Zhou, Jiliu ; He, Kun ; Xiong, Shuhua ; Li, Tao
Author_Institution :
Coll. of Electron. & Inf. Eng., Sichuan Univ., Chengdu
Volume :
1
fYear :
2006
fDate :
20-24 June 2006
Firstpage :
274
Lastpage :
277
Abstract :
Accuracy of statistical face recognition is determined by face´s distributed feature. Applying statistical recognition to faces without obvious distributed feature is meaningless. But such faces can be classified by subtle differences between local features. So local feature based face recognition by obtaining local feature and its dimension is proposed in this paper. Experiments show that, the algorithm is satisfactory
Keywords :
Gabor filters; face recognition; feature extraction; image classification; statistical analysis; wavelet transforms; Gabor wavelet transform; face classification; face distributed feature; local feature based face recognition; statistical face recognition; Convolution; Data mining; Educational institutions; Face detection; Face recognition; Frequency; Gabor filters; Lighting; Nose; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Computational Sciences, 2006. IMSCCS '06. First International Multi-Symposiums on
Conference_Location :
Hanzhou, Zhejiang
Print_ISBN :
0-7695-2581-4
Type :
conf
DOI :
10.1109/IMSCCS.2006.83
Filename :
4673558
Link To Document :
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