面向身份验证的虹膜识别:在轻量级计算平台上的开发

Hermawan Nugroho, Hamada Rasheed Hassan Al-Absi, Lee Pei Shan
{"title":"面向身份验证的虹膜识别:在轻量级计算平台上的开发","authors":"Hermawan Nugroho, Hamada Rasheed Hassan Al-Absi, Lee Pei Shan","doi":"10.1109/ICASSDA.2018.8477617","DOIUrl":null,"url":null,"abstract":"With the advancement of cyber technologies, currently many applications are run on the cyberspace which make our life easier. Since it is an open space, we need tools to ensure the security. Authentication provides a mean to verify authenticity of an entity against illegal access to a device or an application in cyberspace. Recent smartphones have already equipped with biometrics system (fingerprint and face recognition) which can be used for authentication. Iris recognition is identified as the most reliable biometrics traits. It however needs a substantial computing power. In this paper, we develop an iris recognition algorithm based on Fisher algorithm which can be run in a lighter computing platform. Experiments conducted with CASIA database shows exciting results where the system achieves a very high accuracy.","PeriodicalId":185167,"journal":{"name":"2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Iris Recognition for Authentication: Development on a Lighter Computing Platform\",\"authors\":\"Hermawan Nugroho, Hamada Rasheed Hassan Al-Absi, Lee Pei Shan\",\"doi\":\"10.1109/ICASSDA.2018.8477617\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the advancement of cyber technologies, currently many applications are run on the cyberspace which make our life easier. Since it is an open space, we need tools to ensure the security. Authentication provides a mean to verify authenticity of an entity against illegal access to a device or an application in cyberspace. Recent smartphones have already equipped with biometrics system (fingerprint and face recognition) which can be used for authentication. Iris recognition is identified as the most reliable biometrics traits. It however needs a substantial computing power. In this paper, we develop an iris recognition algorithm based on Fisher algorithm which can be run in a lighter computing platform. Experiments conducted with CASIA database shows exciting results where the system achieves a very high accuracy.\",\"PeriodicalId\":185167,\"journal\":{\"name\":\"2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICASSDA.2018.8477617\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Computational Approach in Smart Systems Design and Applications (ICASSDA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASSDA.2018.8477617","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

随着网络技术的进步,目前许多应用程序都在网络空间上运行,这使我们的生活更方便。由于这是一个开放的空间,我们需要工具来确保安全。身份验证提供了一种验证实体真实性的手段,防止非法访问网络空间中的设备或应用程序。最近的智能手机已经配备了可用于身份验证的生物识别系统(指纹和面部识别)。虹膜识别被认为是最可靠的生物特征识别。然而,它需要强大的计算能力。本文开发了一种基于Fisher算法的虹膜识别算法,该算法可以在较轻的计算平台上运行。在CASIA数据库上进行的实验结果令人振奋,该系统达到了很高的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Iris Recognition for Authentication: Development on a Lighter Computing Platform
With the advancement of cyber technologies, currently many applications are run on the cyberspace which make our life easier. Since it is an open space, we need tools to ensure the security. Authentication provides a mean to verify authenticity of an entity against illegal access to a device or an application in cyberspace. Recent smartphones have already equipped with biometrics system (fingerprint and face recognition) which can be used for authentication. Iris recognition is identified as the most reliable biometrics traits. It however needs a substantial computing power. In this paper, we develop an iris recognition algorithm based on Fisher algorithm which can be run in a lighter computing platform. Experiments conducted with CASIA database shows exciting results where the system achieves a very high accuracy.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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:604180095
Book学术官方微信