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Développement et Évaluation d'un Système de Reconnaissance Faciale Basé sur le Classificateur Deep Rule-Based (DRB)

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dc.contributor.author Belkhiri, khawla
dc.contributor.author Sahli maissa, maissa
dc.date.accessioned 2024-11-06T11:20:48Z
dc.date.available 2024-11-06T11:20:48Z
dc.date.issued 2024
dc.identifier.issn MM/849
dc.identifier.uri https://dspace.univ-bba.dz:443/xmlui/handle/123456789/5680
dc.description.abstract Facial recognition systems have become one of the most widely used systems in the fields of security and surveillance. Despite significant technological advancements, their performance is still affected by changes in shooting conditions, such as lighting and modifications to facial features caused by aging or different facial expressions. This thesis aims to improve the performance of facial recognition systems using a new DRB classifier. The proposed solutions have led to significant improvements compared to other classifiers (NN classifier, SVM). Image matching descriptors Gabor, LPQ, MBC, and IWBC were used in experiments applied to the ORL, 15 Yale, Face94, Face95, Face96, and Jaffe databases, which are among the most used in academic studies to compare the results and determine the degree of improvement achieved en_US
dc.language.iso fr en_US
dc.publisher Université de Bordj Bou Arreridj Faculty of Mathematics and Computer Science en_US
dc.subject Mots clés: Le système de reconnaissance faciale, DRB, classificateur NN, SVM, Gabor, LPQ, MBC, IWBC. en_US
dc.subject Facial recognition systems, DRB, NN classifier, SVM, Gabor, LPQ, MBC, IWBC. en_US
dc.title Développement et Évaluation d'un Système de Reconnaissance Faciale Basé sur le Classificateur Deep Rule-Based (DRB) en_US
dc.type Thesis en_US


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