FACE AUTHENTICATION USING LOGIC FUSION OF COLOR WITH EFM FEATURE EXTRACTION

  • M. FEDIAS Electrical Engineering department, LMSE Laboratory, University of Mohamed Khider B.P 145 R.P Biskra (07000), Algeria.
  • M. S. MIMOUNE Electrical Engineering department, LMSE Laboratory, University of Mohamed Khider B.P 145 R.P Biskra (07000), Algeria.
  • M. BOUMEHREZ Electrical Engineering department, LMSE Laboratory, University of Mohamed Khider B.P 145 R.P Biskra (07000), Algeria.

Résumé

In this paper, we investigate the use of colour information to face authentication systems. In order to improve the performance
of these systems many colour components have been used. The results in different colorimetric components are combined by
using a logic fusion for classification with different operators. For the extraction of feature vectors we have applied the
Enhanced Fisher linear discriminant Model (EFM) which is presented as an alternative features extraction algorithm to
Principal Component Analysis (PCA) which is widely used in automatic face recognition. We calculate the error rates in the
two sets of data validation and data test according to the Lausane protocol (XM2VTS). The results obtained show that the use
of colour improves the performance of authentication by (3%) compared to greyscale system. This system can be employed in
high security.

Références

Face authentication using logic fusion of Color with EFM Feature Extraction
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Comment citer
FEDIAS, M.; S. MIMOUNE, M.; BOUMEHREZ, M.. FACE AUTHENTICATION USING LOGIC FUSION OF COLOR WITH EFM FEATURE EXTRACTION. Courrier du Savoir, [S.l.], v. 18, juin 2014. ISSN 1112-3338. Disponible à l'adresse : >http://revues.univ-biskra.dz/index.php/cds/article/view/651>. Date de consultation : 02 jui. 2020
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