A Comparison of Classification Approaches for Deep Face Recognition


Ozturk K., YILMAZ M. B.

2017 International Conference on Computer Science and Engineering (UBMK), Antalya, Turkey, 5 - 08 October 2017, pp.227-232 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/ubmk.2017.8093380
  • City: Antalya
  • Country: Turkey
  • Page Numbers: pp.227-232
  • Keywords: face recognition, deep face recognition, INDEPENDENT COMPONENT ANALYSIS
  • Akdeniz University Affiliated: Yes

Abstract

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.