基于机器视觉技术的虹膜定位算法研究

Research on Iris Location Algorithm Based on Machine Vision Technology

为解决现有虹膜识别技术的缺陷,提出了一种基于机器视觉技术的虹膜定位算法。该算法采用Halcon软件,读取本地虹膜图像,对图像进行Bolb分析,粗略定位出虹膜区域,精确地定位出虹膜内外边界以及眼睑区域。该算法在CASIA-IrisV4数据库中进行实验。实验结果表明,基于机器视觉的定位算法开发周期短、定位准确率较高、速度较快,能够满足虹膜识别对算法的要求。

In order to solve the defects of existing iris recognition technology,an iris location algorithm based on machine vision technology is proposed in this paper.The algorithm is implemented by Halcon software,reads the local iris image,performs Bolb analysis on the image to roughly locate the iris region,and accurately locates the inner and outer boundaries of iris and eyelid region.The algorithm is tested in CASIA-IrisV4 database.The experimental results show that the localization algorithm based on machine vision has the advantages of short development cycle,high localization accuracy and fast speed,and can meet the requirements of iris recognition algorithm.