文档介绍：第 31 卷第 2 期仪器仪表学报 No. 2
2010 年 2 月 Chinese Journal of Scientific Instrument Feb. 2010
基于纹理分布特征的虹膜识别算法*
苑玮琦,赵彦明,张志佳
(沈阳工业大学视觉检测技术研究所沈阳 110178)
摘要:二维小波变换方向性差,不能从方向和频率同时描述虹膜纹理。基于此,分析了归一化虹膜纹理的分布特点,提出
了基于纹理分布特征的虹膜识别算法。对原始人眼图像进行虹膜定位等预处理操作,得到归一化的虹膜纹理图像;对归一化
虹膜图像进行了二维小波多尺度变换,结合虹膜纹理分布特点,选择小波分解水平通道;依据点能量贡献度,消除伪特征点
并进行了点能量编码;计算了不同虹膜编码间海明距离,以其为依据进行分类。在给定距离阈值为的前提下,可以达
到 %的正确识别率。实验证明该算法是有效、可行的,并具有较高的识别率,识别速度也很快。
关键词:纹理分布;虹膜识别;小波变换;多尺度;虹膜
中图分类号: 文献标识码:A 国家标准学科分类代码:
Iris recognition algorithm based on texture distribution feature
Yuan Weiqi, Zhao Yanming, Zhang Zhijia
(Computer Vision Group, Shenyang University of Technology, Shenyang 110178, China)
Abstract:2D wavelet transformation is weak in direction and can’t describe iris texture in direction and frequency
at the same time. Thus, this paper analyzes the features of iris texture distribution and proposes an iris recognition
algorithm based on texture distribution feature. Firstly, the algorithm carries out preprocessing of the original eye
image such as iris localization and gets the normalized iris features image; secondly, 2D wavelet transformation is
performed on the normalized iris images. bining the features of iris texture distribution, the horizon-
tal channel of wavelet position is selected; and according to the energy weights, the pseudo-feature points
are