28 May 2004 GAYE: a face recognition system
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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.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Burcu Kepenekci, Burcu Kepenekci, F. Boray Tek, F. Boray Tek, Onur Cilingir, Onur Cilingir, Ufuk Sakarya, Ufuk Sakarya, Gozde Bozdagi Akar, 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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