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GAYE: A face recognition system

机译:GAYE:人脸识别系统

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摘要

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.
机译:本文提出了一种新的人脸识别系统GAYE。 GAYE是一种全自动系统,可以检测和识别混乱场景中的人脸。系统的输入是任何包含面部的数字化图像/图像序列。该系统的基本构建模块是面部检测,特征提取和特征比较。人脸检测基于肤色细分。对于特征提取,提出了一种新颖的方法,该方法依赖于面部图像的Gabor小波变换。通过比较面部特征向量,系统最终决定是否识别传入的人。实时系统测试表明,GAYE的识别率超过%90。

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