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Please use this identifier to cite or link to this item: http://hdl.handle.net/2328/25834

Title: Illumination invariant face recognition
Authors: Kouzani, Abbas
He, Fangpo
Sammut, Karl
Bouzerdoum, A.
Keywords: Face recognition
Filtering theory
Image representation
Issue Date: 1998
Publisher: Institute of Electrical and Electronics Engineers Computer Society (IEEE Publishing)
Citation: Kouzani, A., He, F., Sammut, K. and Bouzerdoum, A. 1998. Illumination invariant face recognition. 1998 IEEE International Conference on Systems, Man, and Cybernetics, vol. 5, 4240 - 4245.
Abstract: Few of the face recognition methods reported in the literature are capable of recognising faces under varying illumination conditions. The paper discusses a method which can achieve a higher recognition rate than those obtained for existing methods. The novelty of this new method is the use of an embossing technique to process a face image before presenting it to a standard face recognition system. Using a large database of face images, the performance of the proposed method is evaluated by comparing it against the performances of three existing methods. The experimental results demonstrate the successfulness of the proposed method.
URI: http://hdl.handle.net/2328/25834
ISBN: 0780347781
Appears in Collections:Computer Science, Engineering and Mathematics - Collected Works

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