DocumentCode :
2926555
Title :
A Feature-Based Face Recognition Approach Using Gabor Wavelet Filters Cascaded with Concurrent Neural Modules
Author :
Neagoe, Victor-Emil ; Mitrache, John ; Preotesoiu, Stefan
Author_Institution :
Politehnica Univ. of Bucharest, Bucharest
fYear :
2006
fDate :
24-26 July 2006
Firstpage :
1
Lastpage :
6
Abstract :
We propose a face recognition model consisting of the following stages: facial feature localization (23 essential points, corresponding to eyes, mouth, nose, and face boundary); feature representation by Gabor wavelet based filtering (GWF); dimensionality reduction using principal component analysis (PCA); neural classification using concurrent self-organizing maps (CSOM). For the ORL face database, we obtain a recognition score of 96%.
Keywords :
Gabor filters; face recognition; feature extraction; filtering theory; image classification; image representation; principal component analysis; self-organising feature maps; wavelet transforms; Gabor wavelet based filtering; PCA; concurrent neural modules; concurrent self-organizing maps; dimensionality reduction; facial feature localization; feature representation; feature-based face recognition approach; neural classification; principal component analysis; Eyes; Face recognition; Facial features; Filtering; Gabor filters; Mouth; Nose; Principal component analysis; Self organizing feature maps; Wavelet analysis; Concurrent Self-Organizing Maps; Face Recognition; Facial Features; Gabor Wavelet Filters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation Congress, 2006. WAC '06. World
Conference_Location :
Budapest
Print_ISBN :
1-889335-33-9
Type :
conf
DOI :
10.1109/WAC.2006.376035
Filename :
4259951
Link To Document :
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