计算机技术与发展2016，Vol.26Issue(3)：36-39,4.DOI:10.3969/j.issn.1673-629X.2016.03.009
基于Tamura特征的虹膜结构密度计算方法
Calculation Method of Iris Structure Density Based on Tamura Features
摘要
Abstract
Iris diagnostics is a subject to judge the body health by analyzing color and structure of iris fiber tissue. The densities of differ-ent fiber structures of human eyes are different,which can be used to judge body health. A calculation method of iris fiber structure based on roughness,contrast and the direction of Tamura texture features is introduced. The image preprocessing is carried on including normali-zation,histogram equalization and local binarization before utilization of Tamura algorithm,to reduce the influence of uneven illumination by using Tamura algorithm directly and the result error. Three typical images are selected to represent three levels iris fiber structure densi-ty,calculating Tamura texture features of three typical images to determine the relationships between iris fiber structure density and select-ed characteristics. Finally,the algorithm is applied to 60 image samples in iris library built by visual inspection techniques institute in She-nyang University of Technology,and the results show that the method is consistent with the subjective judgment of roughness,which is practical and effective.关键词
Tamura纹理特征/粗糙度/虹膜纤维结构密度/局部二值化Key words
Tamura texture feature/roughness/iris fiber structure density/partial binarization分类
信息技术与安全科学引用本文复制引用
高源,宋辉,张志佳..基于Tamura特征的虹膜结构密度计算方法[J].计算机技术与发展,2016,26(3):36-39,4.基金项目
国家自然科学基金资助项目(61271365) （61271365）
辽宁省博士启动基金项目(20131078) （20131078）
