Human Face Recognition Using Deep Neural Networks

dc.contributor.authorKaplan, Kaplan
dc.contributor.authorKuncan, Fatma
dc.date.accessioned2024-12-24T19:19:22Z
dc.date.available2024-12-24T19:19:22Z
dc.date.issued2022
dc.departmentSiirt Üniversitesi
dc.description.abstractIn recent years, many researchers have been using computer-based systems containing artificial intelligence applications for different applications. Human recognition application is one of the studies carried out in this field. Face and object recognition applications, which were originally designed for security measures, are also used in the entertainment and shopping sectors recently. These applications are gaining even more popularity with the mobile application development of various companies. In face recognition applications, deep learning methods can be preferred if the data is large and complex. In this study, a 3-layer Convolutional Neural Network (CNN) has been developed for a face recognition application. The developed model was applied to the Libor Spacek's Facial Images Databases dataset. As a result of the application of the proposed method on the data set, it was determined that the accuracy rate was 99.29%. This means that the application can be adapted for real recognition systems.
dc.identifier.endpage198
dc.identifier.issn2687-4415
dc.identifier.issue2
dc.identifier.startpage189
dc.identifier.trdizinid1136691
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1136691
dc.identifier.urihttps://hdl.handle.net/20.500.12604/5685
dc.identifier.volume4
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofMühendislik bilimleri ve araştırmaları dergisi (Online)
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241222
dc.subjectDeep Learning
dc.subjectConvolutional Neural Networks
dc.subjectFace Recognition
dc.subjectFaces96
dc.titleHuman Face Recognition Using Deep Neural Networks
dc.typeArticle

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