Color space for face authentication using enhanced fisher linear discriminant model (EFM)

Authors:
D. Saigaa;S. Lelandais;N. Benoudjit;K. Benmahammed
Affiliations:
Automatics Department, University of Mohamed Khider, Biskra, Algeria;Complex Systems Laboratory, University of Evry Val d'Essonne, Evry, France;Electronics Department, University of Setif, Algeria;Electronics Department, University of Batna, Algeria
Venue:
AEE'06 Proceedings of the 5th WSEAS international conference on Applications of electrical engineering
Year:
2006

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Abstract

The performance of face authentication systems has steadily improved over the last few years, mainly focusing on models rather than on feature processing. State-of-the-art methods often use the grayscale face image as input. In this paper, we propose to use the color information as a feature for face image. The proposed feature set is tested on a benchmark database, namely XM2VTS, using Enhanced Fisher linear discriminant Model (EFM). Results show that the color information improves the performance and that the proposed model achieves robust state-of-the-art results.