A review on Gabor wavelets for face recognition

被引：29
作者：
Linlin Shen
Li Bai
机构：
[1] University of Nottingham,School of Computer Science and Information Technology
来源：
Pattern Analysis and Applications | 2006年 / 9卷
关键词：
Joint time–frequency analysis; Gabor wavelets; Face recognition;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Due to the robustness of Gabor features against local distortions caused by variance of illumination, expression and pose, they have been successfully applied for face recognition. The Facial Recognition Technology (FERET) evaluation and the recent Face Verification Competition (FVC2004) have seen the top performance of Gabor feature based methods. This paper aims to give a detailed survey of state of the art 2D face recognition algorithms using Gabor wavelets for feature extraction. Existing problems are covered and possible solutions are suggested.
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页码：273 / 292
页数：19
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