改进的虹膜图像分割算法研究  

Research on improved iris image segmentation algorithm

作　　者：钟彩[1] 彭春富[1] Zhong Cai;Peng Chunfu(Changde Vocational and Technical College,Changde 415000,China)

机构地区：[1]常德职业技术学院,湖南常德415000

出　　处：《无线互联科技》2022年第4期102-103,共2页Wireless Internet Technology

基　　金：2021年学院科研项目,项目名称:基于分类识别算法的关键技术研究,项目编号:常职院通〔2021〕15号,ZY2105。

摘　　要：为进一步改善既有虹膜图像分割的基本属性,文章设计了一种改进的虹膜图像分割算法。本算法应用边缘检测联合Hough转换的形式实现对虹膜内外边缘的精准定位,应用最小二乘法联合边缘检测的方式检测上下眼睑,基于阈值法检测睫毛。经实验分析,统计发现本算法能显著缩短定位时间,定位精准率高达98.83%,凸显了自身的实用价值。In order to further improve the basic attributes of existing iris image segmentation,an improved iris image segmentation algorithm is designed.This algorithm uses the form of edge detection combined with Hough transform to accurately locate the inner and outer edges of the iris,uses the least square method combined with edge detection to detect the upper and lower eyelids,and detects eyelashes based on the threshold method.Through experimental analysis,statistics show that this algorithm can significantly shorten the positioning time,and the positioning accuracy is as high as 98.83%,which fully demonstrates its own value.

关 键 词：虹膜分割 定位检测 HOUGH变换 阈值法 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]