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A Feature-Based Face Recognition Approach Using Gabor Wavelet Filters Cascaded with Concurrent Neural Modules

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3 Author(s)
Neagoe, V. ; Politehnica Univ. of Bucharest, Bucharest ; Mitrache, J. ; Preotesoiu, S.

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%.

Published in:

Automation Congress, 2006. WAC '06. World

Date of Conference:

24-26 July 2006