GAYE: A face recognition system

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

*Bu çalışma için yazışmadan sorumlu yazar

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1 Atıf (Scopus)

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.

Orijinal dilİngilizce
Sayfa (başlangıç-bitiş)99-106
Sayfa sayısı8
DergiProceedings of SPIE - The International Society for Optical Engineering
Hacim5298
DOI'lar
Yayın durumuYayınlandı - 2004
Harici olarak yayınlandıEvet
EtkinlikImaging Processing: Algorithms and Systems III - San Jose, CA, United States
Süre: 19 Oca 200420 Oca 2004

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