计算机技术与发展Issue(12)：96-100,5.DOI:10.3969/j.issn.1673-629X.2014.12.023
一种新的基于特征选择的虹膜识别方法
A Novel Iris Recognition Method Based on Feature Selection
摘要
Abstract
In order to improve the accuracy of iris recognition,a novel iris recognition method based on feature selection is proposed.U-sing the elastic template for locating efficiently iris image.Aiming at texture distribution characteristics of iris image,multi-scale Gabor filter is used to extract feature in different texture region of iris.Then,use genetic algorithm and particle swarm optimization algorithm for feature selection,removal of redundant information in the feature vector.Finally,the SVM classification model is used for iris recognition. In order to test the validity of the method,the method is verified in the CASIA iris database,the experimental results show that this meth-od has high recognition accuracy.关键词
特征选择/最优化/虹膜识别/边界定位/归一化Key words
feature selection/optimization/iris recognition/boundary localization/normalization分类
信息技术与安全科学引用本文复制引用
姚明海,王娜,李劲松..一种新的基于特征选择的虹膜识别方法[J].计算机技术与发展,2014,(12):96-100,5.基金项目
辽宁省社会科学规划基金项目（L13BXW006）；辽宁省社科联项目 （）
