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GAYE: A face recognition system
Date
2004-01-21
Author
Kepenekci, B
Tek, FB
Cilingir, O
Sakarya, U
Akar, Gözde
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
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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.
Subject Keywords
Face recognition
,
Face detection
,
Gabor wavelet transform
,
Feature extraction
URI
https://hdl.handle.net/11511/33103
DOI
https://doi.org/10.1117/12.528919
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar