Gabor Filter Optimization Design for Iris Texture Analysis

被引：0
作者：
Tao Xu
Xing Ming
Xiaoguang Yang
机构：
[1] Jilin University,College of Mechanical Science and Engineering
[2] Jilin University,College of Computer Science and Technology
[3] Dalian Maritime University,Dept of Mathematics and Physics
来源：
Journal of Bionic Engineering | 2004年 / 1卷 / 1期
关键词：
iris recognition; texture analysis; receptive profile; Gabor filter; parameter field; optimization method;
D O I：
10.1007/BF03399457
中图分类号：
学科分类号：
摘要：
This paper deals with an optimization design method for the Gabor filters based on the analysis of an iris texture model. By means of analyzing the properties of an iris texture image, the energy distribution regularity of the iris texture image measured by the average power spectrum density is exploited, and the theoretical ranges of the efficient valued frequency and orientation parameters can also be deduced. The analysis shows that the energy distribution of the iris texture is generally centralized around lower frequencies in the spatial frequency domain. Accordingly, an iterative algorithm is designed to optimize the Gabor parameter field. The experimental results indicate the validity of the theory and efficiency of the algorithm.
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页码：72 / 78
页数：6
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