Biometric Authentication System for Industrial Applications using Iris Recognition

被引：4

作者：

Jardine, A. ^{[1
]}

Ramotsoela, T. D. ^{[1
]}

Hancke, G. P. ^{[2
]}

机构：

[1] Univ Cape Town, Dept Elect Engn, Rondebosch, South Africa

[2] Univ Pretoria, Dept Elect Elect & Comp Engn, Pretoria, South Africa

来源：

PROCEEDINGS OF 2021 IEEE 30TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE) | 2021年

基金：

芬兰科学院; 新加坡国家研究基金会;

关键词：

Iris recognition; biometric authentication; computer vision; template matching;

D O I：

10.1109/ISIE45552.2021.9576300

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The COVID-19 pandemic has highlighted the limitations of the most popular biometric authentication systems. It is thus necessary to develop other biometric technologies to ensure that they there are alternatives when some solutions are no longer viable. This paper presented a stand-alone biometric authentication system for computers used in industrial applications. The accuracy metric used to assess the system was the equal error rate (EER) and this was used to calculate an overall system accuracy of 88.94%. The stand-alone device had limited processing power and this resulted in an overall authentication time of 3.966s. In general the system had an acceptable accuracy and some security measures were put into place to bolster the overall system security.

引用

页数：6

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