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Proceedings Paper

GAYE: a face recognition system
Author(s): Burcu Kepenekci; F. Boray Tek; Onur Cilingir; Ufuk Sakarya; Gozde Bozdagi Akar
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Paper 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.

Paper Details

Date Published: 28 May 2004
PDF: 8 pages
Proc. SPIE 5298, Image Processing: Algorithms and Systems III, (28 May 2004); doi: 10.1117/12.528919
Show Author Affiliations
Burcu Kepenekci, TUBITAK-BILTEN (Turkey)
Middle East Technical Univ. (Turkey)
F. Boray Tek, TUBITAK-BILTEN (Turkey)
Onur Cilingir, TUBITAK-BILTEN (Turkey)
Middle East Technical Univ. (Turkey)
Ufuk Sakarya, TUBITAK-BILTEN (Turkey)
Gozde Bozdagi Akar, Middle East Technical Univ. (Turkey)

Published in SPIE Proceedings Vol. 5298:
Image Processing: Algorithms and Systems III
Edward R. Dougherty; Jaakko T. Astola; Karen O. Egiazarian, Editor(s)

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