DICAMES logo

Veuillez utiliser cette adresse pour citer ce document : https://hdl.handle.net/20.500.12177/7487
Affichage complet
Élément Dublin CoreValeurLangue
dc.contributor.advisorNdjakomo Essiane, Salomé-
dc.contributor.authorSapeya Kanedja, Sophonie-
dc.date.accessioned2022-03-01T15:33:09Z-
dc.date.available2022-03-01T15:33:09Z-
dc.date.issued2020-
dc.identifier.urihttps://hdl.handle.net/20.500.12177/7487-
dc.description.abstractFace recognition is an important function of surveillance systems to allow verification and identification of individuals of interest who appear in a scene captured by a distributed network of cameras. This project aims to use biometric images in order to improve authentication performance. In the first part, we propose a comparison of two methods of detecting the face in the image. In a second part we are interested in the identification process itself. A deep neural network approach is adopted. Our project was carried out thanks to numerous libraries among which tensorflow. Our work has also allowed us to solve the problem of real twins in facial recognition systems by proposing an on-board two-level security system.en_US
dc.format.extent75fr_FR
dc.publisherUniversité de Yaoundé Ifr_FR
dc.subjectConception et réalisationfr_FR
dc.subjectSystème biométriquefr_FR
dc.subjectLa reconnaissance facialefr_FR
dc.titleConception et réalisation d’un système biométrique utilisant la reconnaissance faciale.fr_FR
dc.typeThesis-
Collection(s) :Mémoires soutenus

Fichier(s) constituant ce document :
Fichier Description TailleFormat 
ENSET_EBO_BC_21_0038.pdf1.73 MBAdobe PDFMiniature
Voir/Ouvrir


Tous les documents du DICAMES sont protégés par copyright, avec tous droits réservés.