Face Recognition Using Multiscale Gabor Wavelet

Lin Huang, Wenjing Zhang
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引用次数: 4

Abstract

This paper proposes and analyzes multiscale Gabor wavelet and eigenface method for face recognition. The face images are processed by using one-dimensional (1D) filter masks to extract the Gabor features without two-dimensional (2D) Fourier transform. The results of analysis and experiments show that the computational cost and the storage amount of Gabor features in PGE method are significantly lower than the ones in general 2D Gabor wavelet methods with a comparable recognition rate.
基于多尺度Gabor小波的人脸识别
提出并分析了多尺度Gabor小波和特征人脸识别方法。利用一维(1D)滤波蒙版对人脸图像进行处理,提取Gabor特征,不进行二维(2D)傅里叶变换。分析和实验结果表明,在识别率相当的情况下,PGE方法的计算量和Gabor特征存储量明显低于一般二维Gabor小波方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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