基于自适应阈值分割算法的虹膜识别系统设计

Design of iris recognition system based on adaptive threshold segmentation algorithm

在疫情环境下,为解决传统生物识别技术对公共场所出入人员的管控过程中易导致的交叉感染的问题,提出了人眼虹膜的身份识别方法。基于虹膜识别技术的安全管控系统中包括外部摄像镜头捕捉人眼图像、内部虹膜图像预处理、提取特征和与数据库比对匹配四个部分。从硬件和软件两方面入手来说明系统的设计架构和程序设计等内容,采用虹膜识别相关经典算法,得到人眼虹膜图像。实验仿真结果显示,该方法避免了识别时的接触和交叉感染等问题,身份识别的准确性、可靠性得到了提高,对于疫情期间人员管控有积极的作用。

In the epidemic environment,in order to solve the problem of cross infection caused by traditional biometric technology in the control of people entering and leaving public places,this paper proposes an identification method of human iris,which has the advantages of accuracy,uniqueness and non-contact.The security control system based on iris recognition technology includes four parts:external camera lens capturing human eye image,internal iris image preprocessing,feature extraction and comparison and matching with database.This paper explains the design architecture and program design of the system from two aspects of hardware and software,and obtains the human iris image by using the classical algorithms related to iris recognition.The experimental simulation results show that this method avoids the problems of contact and cross infection during identification,improves the accuracy and reliability of identification,and plays a positive role in personnel management and control during the epidemic.