GAYE: A face recognition system

Date

2004-01-21

Author

Kepenekci, B
Tek, FB
Cilingir, O
Sakarya, U
Akar, Gözde

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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

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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: https://hdl.handle.net/11511/33103.