A Face Authentication System Using Landmark Detection
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Eser Sahibi
Velican ERCAN
M. Erdal ÖZBEK
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Tür
Makale
- Yayın Tarihi 2021
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Yayıncı
İzmir Katip Çelebi Üniversitesi
- Dergi Adı Journal of Artificial Intelligence and Data Science 1, ( 1 ), pp.28 - 34
- Tek Biçim Adres https://hdl.handle.net/11469/1925
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Konu Başlıkları
Bilgisayar bilimi
Yapay zeka
Biyometri
Biometric data is the key for many security applications. Authentication relies on the individual’s measurable biometric properties collected as features. In this study, a face authentication system is built to be used in opening the entrance door accessing to the apartments and housing estates. The proposed system consists of three stages. In the first stage, landmarks on the face are captured using a deep neural network. Then six selected features from the landmarks are extracted and traditional machine learning algorithms are used to authenticate users. In the last stage, a user interface is built. Face recognition tests achieved an accuracy rate of 89.79%.
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47
06.06.2022 tarihinden bu yana
İndirme
2
06.06.2022 tarihinden bu yana
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