基于Snake模型的虹膜定位算法  

Iris Location Algorithm Based on Snake Model

作　　者：李峰[1] 刘国彦[1] 章登勇[1] 朱峰[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：《小型微型计算机系统》2006年第8期1567-1569,共3页Journal of Chinese Computer Systems

基　　金：国家自然科学基金项目(60075019)资助;湖南省自然科学基金项目(05JJ30123)资助;湖南省教育厅科学(05C246)资助.

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.快速、准确地定位虹膜是虹膜识别系统的关键.提出一种基于Snake模型的虹膜定位算法:采用Canny检测算子定位虹膜内边缘,运用Snake模型锁定虹膜外边缘.实验表明,该方法速度快、精度高,并且具备良好的鲁棒性.Iris recognition is regarded as the most reliable and accurate blometric identification system available. The speed and accuracy of iris localization is crucial in an iris recognition system. In this paper, a new iris localization algorithm based on snake model was proposed： the inner boundary is found using Canny edge detector and the outer boundary is localized by Snake model. Extensive experimental results show that the method has satisfying performance both in speed and in precision, also good robustness.

关 键 词：虹膜识别 生物特征识别 虹膜识别系统 SNAKE模型 虹膜定位 Canny检测算子 

分 类 号：TP317[自动化与计算机技术—计算机软件与理论]