宁夏大学学报（自然科学版）2013，Vol.34Issue(1)：22-25,4.
基于二维小波变换及邻域均值滤波的虹膜定位算法
Iris Localization Algorithm Based on Two-dimensional Wavelet Transform and Neighborhood Average Filter
摘要
Abstract
An iris localization algorithm based on two-dimensional wavelet transform and neighborhood average filter is proposed to improve the accuracy and the speed of the iris localization. Firstly, the algorithm segments the pupil area of the iris by the threshold. Secondly, it locates the iris inner edge by the edge detection operator in the pupil area. Thirdly, the human eye iris images is processed by the two-dimensional wavelet transform to reduce the image resolution, In order to reduce the impact of the iris texture on the judgment of the iris outer edge points. Fourthly, the algorithm extracts the iris outer edge points by the neighborhood average filter. Finally, it locates the iris outer edge by the outer edge points. The simulation results show that the algorithm locates the iris inner and outer edge with average time of 1. 75 s and accuracy of 99. 7%, the error of iris outer edge localization is less than 4. 2%, The algorithm has a higher practical value in the iris recognition system.关键词
虹膜识别/虹膜定位/二维小波变换/邻域均值滤波Key words
iris recognition/ iris localization/ two-dimensional wavelet transform/ neighborhood average filter分类
信息技术与安全科学引用本文复制引用
赵静..基于二维小波变换及邻域均值滤波的虹膜定位算法[J].宁夏大学学报（自然科学版）,2013,34(1):22-25,4.基金项目
宁夏自然科学基金资助项目(NZ1137) （NZ1137）
宁夏大学科研基金资助项目(NDZR10-22) （NDZR10-22）
