A survey on Iris recognition system

Sandeep Patil, Shreya Gudasalamani, N. Iyer
{"title":"A survey on Iris recognition system","authors":"Sandeep Patil, Shreya Gudasalamani, N. Iyer","doi":"10.1109/ICEEOT.2016.7755084","DOIUrl":null,"url":null,"abstract":"Biometrics recognition is the use of physiological and behavioral traits to identify an individual. Many biometric traits have been developed and are being used to authenticate the person's identity. Iris recognition system are widely used and have been proved to be efficient at individual recognition with high accuracy and nearly perfect matching. The Iris feature of two eyes of same person are not similar making it more secured way of authentication compared to other Biometric recognition systems. This paper provides a review of various methods and algorithms used by authors and their effect on performance of Iris recognition system along with identification of gap for future work. This paper also briefs about the publicly available Iris database for experimenting and researches.","PeriodicalId":383674,"journal":{"name":"2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"25","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEEOT.2016.7755084","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 25

Abstract

Biometrics recognition is the use of physiological and behavioral traits to identify an individual. Many biometric traits have been developed and are being used to authenticate the person's identity. Iris recognition system are widely used and have been proved to be efficient at individual recognition with high accuracy and nearly perfect matching. The Iris feature of two eyes of same person are not similar making it more secured way of authentication compared to other Biometric recognition systems. This paper provides a review of various methods and algorithms used by authors and their effect on performance of Iris recognition system along with identification of gap for future work. This paper also briefs about the publicly available Iris database for experimenting and researches.
虹膜识别系统综述
生物特征识别是利用生理和行为特征来识别个体。许多生物特征已经被开发出来,并被用来验证人的身份。虹膜识别系统被广泛应用于个体识别,具有较高的识别精度和近乎完美的匹配。同一个人的两只眼睛的虹膜特征不相似,使其比其他生物识别系统更安全的身份验证方式。本文综述了作者使用的各种方法和算法,以及它们对虹膜识别系统性能的影响,并为今后的工作提供了识别缺口的方法和算法。本文还简要介绍了可供实验和研究的公开Iris数据库。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信