GAYE: A face recognition system

Kepenekci, B
Tek, FB
Cilingir, O
Sakarya, U
Akar, Gözde
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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Citation Formats
B. Kepenekci, F. Tek, O. Cilingir, U. Sakarya, and G. Akar, “GAYE: A face recognition system,” 2004, vol. 5298, Accessed: 00, 2020. [Online]. Available: