Please use this identifier to cite or link to this item: http://dspace.ensta.edu.dz/jspui/handle/123456789/303
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dc.contributor.authorAMEUR, Lina-
dc.contributor.authorMOKDAD, Fatiha (Directeur de thèse)-
dc.date.accessioned2025-03-11T08:36:46Z-
dc.date.available2025-03-11T08:36:46Z-
dc.date.issued2024-
dc.identifier.urihttp://dspace.ensta.edu.dz/jspui/handle/123456789/303-
dc.descriptionMémoire de fin d’étude du Master: Systèmes Embarqués:Alger: Ecole Nationale Supérieure des Technologie Avancées: 2024en_US
dc.description.abstractFacial recognition technology has significantly evolved over the past decade, finding applications in security, social media, and various other fields. One of the emerging and intriguing applications of this technology is kinship determina- tion, which involves determining familial relationships based on facial features. In this paper, we established the state-of-the-art understanding of these methods is essential for advancing this field and leveraging its potential for practical applications.en_US
dc.language.isoenen_US
dc.publisherENSTAen_US
dc.subjectLBPen_US
dc.subjectfeature selectionen_US
dc.subjectkinship verificationen_US
dc.subjectface analysisen_US
dc.subjectdeep learningen_US
dc.subjectmetric learningen_US
dc.subjectfeature extractionen_US
dc.titleState of the art on facial recognition methods for determination of kinshipen_US
dc.typeArticleen_US
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