GAYE: A face recognition system

Burcu Kepenekci*, F. Boray Tek, Onur Çilingir, Ufuk Sakarya, Gozde Bozdagi Akar

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)


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.

Original languageEnglish
Pages (from-to)99-106
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
Publication statusPublished - 2004
Externally publishedYes
EventImaging Processing: Algorithms and Systems III - San Jose, CA, United States
Duration: 19 Jan 200420 Jan 2004


  • Face detection
  • Face recognition
  • Feature extraction
  • Gabor wavelet transform


Dive into the research topics of 'GAYE: A face recognition system'. Together they form a unique fingerprint.

Cite this