A Comparison of Classification Approaches for Deep Face Recognition

Ozturk K., YILMAZ M. B.

2017 International Conference on Computer Science and Engineering (UBMK), Antalya, Türkiye, 5 - 08 Ekim 2017, ss.227-232 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/ubmk.2017.8093380
  • Basıldığı Şehir: Antalya
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.227-232
  • Anahtar Kelimeler: face recognition, deep face recognition, INDEPENDENT COMPONENT ANALYSIS
  • Akdeniz Üniversitesi Adresli: Evet

Özet

Face recognition is a mature domain with lots of different techniques proposed in the literature. Convolutional neural networks have been the most successful approach to face recognition problem recently. In this work, performance of three different face recognition models are compared. Features are extracted using a pre-trained convolutional neural network.