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Comparative Study Of Face Recognition Deep Learning Based Methods

dc.contributor.authorREGGAM, MOunsif
dc.date.accessioned2023-03-05T08:55:43Z
dc.date.available2023-03-05T08:55:43Z
dc.date.issued2022
dc.descriptionSupervisor : Dr. KHALDI Belkacemen_US
dc.description.abstractFace recognition is considered one of most important biometric used for many practical uses such as security, law enforcement and commercialising. Because of this field’s importance, researchers started showing an increasing interest in developing and improving it. In this work, We aim to cover two dimensional and three dimensional face recognition and their different deep learning based methods and datasets that are used for training or testing.***La reconnaissance faciale est consid´er´ee comme l’une des biom´etries les plus importantes utilis´ees pour de nombreuses pratiques quotidiennes et utilisations techniques telles que la s´ecurit´e, l’application de la loi et la commercialisation. Suite `a cette importance, les chercheurs ont commenc´e `a s’int´eresser par le d´eveloppement et l’am´elioration du domaine. Dans ce travail, notre objectif est de d’explorer la reconaissance faciale en deux et trois dimensions ainsi que leurs differntes m´ethodes bas´ees sur l’apprentissage profond et base de donn´es utilis´ees pour l’entrainement ou pour tester.en_US
dc.identifier.urihttps://repository.esi-sba.dz/jspui/handle/123456789/407
dc.language.isoenen_US
dc.subjectAutomated Learningen_US
dc.subjectDeep Learningen_US
dc.subjectFace Recognitionen_US
dc.subjectCorporate Surveillanceen_US
dc.subjectNeural Networksen_US
dc.subjectAccess Controlen_US
dc.titleComparative Study Of Face Recognition Deep Learning Based Methodsen_US
dc.typeThesisen_US

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