GAYE: A face recognition system

Kepenekci B., Tek F. B., Cilingir O., Sakarya U., Akar G.

Conference on Image Processing - Algorithms and Systems III, San-Jose, Costa Rica, 19 - 21 January 2004, vol.5298, pp.99-106 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 5298
  • Doi Number: 10.1117/12.528919
  • City: San-Jose
  • Country: Costa Rica
  • Page Numbers: pp.99-106
  • Keywords: face recognition, face detection, Gabor wavelet transform, feature extraction
  • Istanbul Technical University Affiliated: Yes


In this paper, a new face recognition system, GAYE, is presented. GAYE is a fully automatic system that detects and recognizes faces in cluttered scenes. The input of the system is any digitized image/image sequence that includes face/faces. The basic building blocks of the system are face detection, feature extraction and feature comparison. Face detection is based on skin color segmentation. For feature extraction, a novel approach is proposed that depends on the Gabor wavelet transform of the face image. By comparing facial feature vectors system finally makes a decision if the incoming person is recognized or not. Real time system tests show that GAYE achieves a recognition ratio over %90.