基于改进Log-Gabor滤波器的虹膜识别算法

Peng Yao, Jun Yu Li, Xueyi Ye, Zhenquan Zhuang, Bin Li
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引用次数: 125

摘要

本文提出了一种基于改进Log-Gabor滤波器的虹膜识别算法。该算法在一般程序上与Daugman方法相似,但采用改进的Log-Gabor滤波器来提取虹膜相位信息,取代了Daugman方法中使用的复杂Gabor滤波器。对数Gabor滤波器相对于复杂Gabor滤波器的优点是前者是严格的带通滤波器,而后者不是。严格带通的特性使得Log-Gabor滤波器更适合提取虹膜的相位特征,而不受背景亮度的影响。本文还对基于复杂Gabor滤波器的方法与本文提出的方法进行了对比实验
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Iris Recognition Algorithm Using Modified Log-Gabor Filters
In this paper, we presented an iris recognition algorithm based on modified Log-Gabor filters. The algorithm is similar as the method proposed by Daugman in general procedure while modified Log-Gabor filters are adopted to extract the iris phase information instead of complex Gabor filters used in Daugman's method. The advantage of Log-Gabor filters over complex Gabor filters is the former are strictly bandpass filters and the latter are not. The property of strictly bandpass makes the Log-Gabor filters more suitable to extract the iris phase features regardless of the background brightness. The comparison experiments between complex Gabor filters based methods and the proposed method are also presented in this paper
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