A combination approach to human face recognition

Abstract EN

In this paper, we propose a combination approach for face recognition based on combination of two features extractor schemes named Singular Value Decomposition and Gabor filters.

Singular value decomposition (SVD) is a good method to extract image features because it has invariance for the rotation and mirroring transformation, and also has better robustness for noise and light intensity transform.

Gabor filters produce perfect localization features in frequency and spatial domains.

From theexperimental results, the suggested approach obtains a good recognition rate.

A recognition rate of more than 98% has been achieved on the ORL database.The proposed approach has also been compared to some existing techniques and the results obtained by the proposed method are far better than these techniques.