GAYE: A face recognition system


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

Conference on Image Processing - Algorithms and Systems III, San-Jose, Kostarika, 19 - 21 Ocak 2004, cilt.5298, ss.99-106 identifier identifier

  • Cilt numarası: 5298
  • Doi Numarası: 10.1117/12.528919
  • Basıldığı Şehir: San-Jose
  • Basıldığı Ülke: Kostarika
  • Sayfa Sayıları: ss.99-106

Özet

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.