28 May 2004 GAYE: a face recognition system
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Abstract
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.
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Burcu Kepenekci, F. Boray Tek, Onur Cilingir, Ufuk Sakarya, Gozde Bozdagi Akar, "GAYE: a face recognition system", Proc. SPIE 5298, Image Processing: Algorithms and Systems III, (28 May 2004); doi: 10.1117/12.528919; https://doi.org/10.1117/12.528919
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