基于遗传算法的虹膜卷缩轮提取方法  

Extraction Method of Autonomic Nerve Wreath Based on Genetic Algorithm

作　　者：朱立军 邓天娇 ZHU Li-Jun;DENG Tian-Jiao(School of Computer Science and Technology,Shenyang University of Chemical Technology,Shenyang 110142,China;Key Laboratory of Intelligent Technology for Chemical Process Industry of Liaoning Province,Shenyang 110142,China)

机构地区：[1]沈阳化工大学计算机科学与技术学院,沈阳110142 [2]辽宁省化工过程工业智能化技术重点实验室,沈阳110142

出　　处：《计算机系统应用》2021年第12期339-344,共6页Computer Systems & Applications

基　　金：国家自然科学基金(61271365)。

摘　　要：卷缩轮(Autonomic Nerve Wreath,ANW)是虹膜诊断学中一个重要的诊断标志.而如何提取易受光斑、色素斑及睫毛等干扰影响的卷缩轮在目前仍是一个难题.本文提出了一种基于遗传算法的虹膜卷缩轮提取方法.该方法以区域点密度作为适应度,并通过轮盘赌来选择最优个体,比较相邻两染色体间基因适应度来进行父本的选择.实验结果表明提出的方法能有效避免光斑、色素斑及睫毛等信息的干扰,提高了算法的搜索效率和准确率,提取出的卷缩轮与实际的卷缩轮较一致.The Autonomic Nerve Wreath(ANW)is an important diagnostic feature in iris diagnostics.However,how to extract it against the interference of light spots,pigment spots,and eyelashes is still a problem.This study presents an ANW extraction method based on a genetic algorithm.It takes the local point density as the fitness,selects the optimal individual through roulette,and compares the genetic fitness between two adjacent chromosomes to determine the paternal parent.Experimental results show that the proposed method can avoid the interference of light spots,pigment spots,and eyelashes and thus improve the search efficiency and accuracy of the algorithm.The extracted rolling wheel is close to the actual rolling wheel.

关 键 词：卷缩轮(ANW) 遗传算法 特征提取 最优解 点密度 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TP391.41[自动化与计算机技术—控制科学与工程] R319[医药卫生—基础医学]