Please use this identifier to cite or link to this item: http://dspace.ensta.edu.dz/jspui/handle/123456789/303
Title: State of the art on facial recognition methods for determination of kinship
Authors: AMEUR, Lina
MOKDAD, Fatiha (Directeur de thèse)
Keywords: LBP
feature selection
kinship verification
face analysis
deep learning
metric learning
feature extraction
Issue Date: 2024
Publisher: ENSTA
Abstract: Facial 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.
Description: Mémoire de fin d’étude du Master: Systèmes Embarqués:Alger: Ecole Nationale Supérieure des Technologie Avancées(ex ENST): 2024
URI: http://dspace.ensta.edu.dz/jspui/handle/123456789/303
Appears in Collections:ART- Systèmes Embarqués

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