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Title:
GAYE: a face recognition system
Authors:
Kepenekci, Burcu; Tek, F. Boray; Cilingir, Onur; Sakarya, Ufuk; Akar, Gozde B.
Affiliation:
AA(TUBITAK-BILTEN (Turkey) and Middle East Technical Univ. (Turkey)), AB(TUBITAK-BILTEN (Turkey)), AC(TUBITAK-BILTEN (Turkey) and Middle East Technical Univ. (Turkey)), AD(TUBITAK-BILTEN (Turkey)), AE(Middle East Technical Univ. (Turkey))
Publication:
Image Processing: Algorithms and Systems III. Edited by Dougherty, Edward R.; Astola, Jaakko T.; Egiazarian, Karen O. Proceedings of the SPIE, Volume 5298, pp. 99-106 (2004). (SPIE Homepage)
Publication Date:
05/2004
Origin:
SPIE
Abstract Copyright:
(c) 2004: SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
DOI:
10.1117/12.528919
Bibliographic Code:
2004SPIE.5298...99K

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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