一种新的基于小波过零检测的虹膜识别算法  

A New Algorithm Based on WT Zero-crossing Representation of Iris Recognition

作　　者：彭建[1] 朱峰[1] 李峰[1] 唐贤瑛[1] 

机构地区：[1]长沙理工大学计算机与通信工程学院,湖南长沙410076

出　　处：《计算机应用研究》2005年第6期121-122,共2页Application Research of Computers

基　　金：湖南省自然科学基金资助项目(03JJY3101)

摘　　要：虹膜识别被认为是目前最准确可靠的生物特征识别方法。提出了一种新的基于小波过零检测的虹膜识别算法,通过对分离的虹膜纹理采用小波变换来实现特征提取,最后通过Hamming距离完成模式匹配。实验结果表明,该算法识别率很高,可有效地应用于身份鉴别系统中。Iris recognition is regarded as the most reliable and accurate biometric identification system available. In this paper, a new algorithm based on the WT zero-crossing representation of iris recognition is proposed. Feature is extracted with an appropriate scale wavelet, then the Hamming distance is used to match two iris codes. Experimental results showed that the developed system with high identification rate could be used for a personal identification system in an efficient and effective manner.

关 键 词：虹膜识别 小波变换 特征提取 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]