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