Development of Face Recognition System by Using Deep Learning and Face-Net Algorithm in the Operations Processes (Lecture Notes on Data Engineering and Communications Technologies)
Yazarlar (1)
Prof. Dr. Şakir TAŞDEMİR Sinop Üniversitesi, Türkiye
| Bölüm Adı | Development of Face Recognition System by Using Deep Learning and Face-Net Algorithm in the Operations Processes | ||
| Kitap Adı | Lecture Notes on Data Engineering and Communications Technologies | ||
| Bölüm Sayfaları | 93-105 | ||
| Kitap Türü | Kitap Bölümü | ||
| Kitap Alt Türü | Alanında uluslararası yayınlanan kitap bölümü | ||
| Kitap Niteliği | Scopus indeksinde taranan bilimsel kitap | ||
| Kitap Dili | İngilizce | Basım Tarihi | 01-2021 |
| DOI Numarası | 10.1007/978-3-030-79357-9_10 | ISBN | |
| Basıldığı Ülke | Basıldığı Şehir | ||
| Kitap Linki | https://link.springer.com/chapter/10.1007/978-3-030-79357-9_10 | ||
| UAK Araştırma Alanları |
Mühendislik
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| Özet |
| Biometry is a branch of science that studies the physical and behavioral characteristics of living things. Every human being has its physical characteristics. These features are unique features that distinguish people from others. Biometric systems are the systems established by examining the biometric properties of people to determine their identity. Facial recognition systems, a type of biometric system, using the facial features of individuals, identify snow-bodies, identify information at the distance between the eyes, nose, cheekbones, jawline, jaw and so on and individual. The real purpose here is to confirm for whom did the operation. With the development of technology, many organizations use biometric data as an authentication tool. Within the scope of our study, to check the accuracy of customers who make transactions by identification method during operational transactions. In this study, if the level of accuracy … |
| Anahtar Kelimeler |
| Convolutional Neural Network (CNN) | Deep learning | Face recognition | FaceNet |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Scopus | 3 |
| Google Scholar | 5 |