基于瞳孔变化的动态虹膜定位方法  

Method of Locate Iris Region Dynamically Based on Pupil Change

作　　者：刘冬冬 李向荣[1] 焦学䶮 续敏[1] LIU Dongdong;LI Xiangrong;JIAO Xueyan;XU Min(Institute of Mechanical and Electrical,Qingdao University of Science and Technology,Qingdao 266061)

机构地区：[1]青岛科技大学机电工程学院,青岛266061

出　　处：《计算机与数字工程》2023年第5期1169-1173,共5页Computer & Digital Engineering

摘　　要：目前虹膜识别算法较多,但仍存在计算量大、速度慢的问题,针对该问题提出了一种基于瞳孔变化的动态虹膜定位方法。该方法首先通过去除小面积过滤噪声,再将图像进行缩小,再使用Hough变换进而实现对虹膜内边界定位;在瞳孔定位之后,根据瞳孔尺寸和虹膜纹理尺寸的变化关系,建立瞳孔半径与虹膜外径关系的数学模型,对不同图像可实现动态实时定位虹膜的外边界。该方法将虹膜内边界定位时间缩减到0.17s,外边界定位缩减到0.01s。实验结果表明经该方法提取的虹膜区域,虹膜识别准确率可高达99.8%。The current iris localization algorithm has the problem of large computation and slow speed,to solve this problem,a dynamic iris localization method based on pupil change is proposed.This method firstly removes the small area to filter noise,then shrinks the image,and then uses Hough transform to locate the inner boundary of iris.According to the change of pupil size and iris texture size,the mathematical model of the relation between pupil radius and iris outer diameter is established,and the outer boundary of iris can be dynamically located in real time for different images.This method reduces the positioning time of iris inner boundary to 0.17s and outer boundary to 0.01s.The experimental results show that the iris recognition accuracy of the iris region extracted by this method can reach 99.8%.

关 键 词：去除小面积 图像缩小 动态定位 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]