BIOMETRIC BASED POINT OF SALE AUTHENTICATION SYSTEM

O. Abikoye, G. K. Afolabi, T. O. Aro
{"title":"BIOMETRIC BASED POINT OF SALE AUTHENTICATION SYSTEM","authors":"O. Abikoye, G. K. Afolabi, T. O. Aro","doi":"10.15282/IJSECS.5.1.2019.3.0053","DOIUrl":null,"url":null,"abstract":"Several problems are encountered by cardholders at the point of sale (POS) terminal, these include; inadequate security of automated teller machine (ATM) card through theft, not remembering personal identity number (PIN) and the problem of identifying cardholder as the owner of the card, these have caused delay process in transactions and also reduce the integrity of the POS machine. The existing POS machine uses PIN-Card as an authentication process in which the security can be easily breached. This paper proffers a solution to reduce the identified problems by applying a biometric system into POS machine. Iris scan was introduced at the authentication level of the existing POS machine. A system prototype was designed to imitate a typical PIN-card based POS system that used iris recognition to improve upon the security of the POS. The developed system demonstrated a two-tier architectural structure for recognition: the identification and verification module. The verification module which focused on the enrolment, normalization, localization, extraction of features and matching of iris images obtained from CASIA database. The experimental results showed that the developed system could significantly minimize cardholder fraud at the POS machine if not totally eradicated.","PeriodicalId":31240,"journal":{"name":"International Journal of Software Engineering and Computer Systems","volume":"17 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Software Engineering and Computer Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15282/IJSECS.5.1.2019.3.0053","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Several problems are encountered by cardholders at the point of sale (POS) terminal, these include; inadequate security of automated teller machine (ATM) card through theft, not remembering personal identity number (PIN) and the problem of identifying cardholder as the owner of the card, these have caused delay process in transactions and also reduce the integrity of the POS machine. The existing POS machine uses PIN-Card as an authentication process in which the security can be easily breached. This paper proffers a solution to reduce the identified problems by applying a biometric system into POS machine. Iris scan was introduced at the authentication level of the existing POS machine. A system prototype was designed to imitate a typical PIN-card based POS system that used iris recognition to improve upon the security of the POS. The developed system demonstrated a two-tier architectural structure for recognition: the identification and verification module. The verification module which focused on the enrolment, normalization, localization, extraction of features and matching of iris images obtained from CASIA database. The experimental results showed that the developed system could significantly minimize cardholder fraud at the POS machine if not totally eradicated.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于生物识别的销售点认证系统
持卡人在销售点(POS)终端会遇到几个问题,包括;自动柜员机(ATM)卡的安全性不足,如被盗、不记得个人身份号码(PIN)以及识别持卡人为持卡人的问题,这些都造成了交易过程的延迟,也降低了POS机的完整性。现有的POS机使用PIN-Card作为身份验证过程,其安全性很容易被破坏。本文提出了一种将生物识别系统应用于POS机以减少识别问题的解决方案。在现有POS机的认证层引入虹膜扫描。设计了一个系统原型,模拟了一个典型的基于pin卡的POS系统,该系统使用虹膜识别来提高POS系统的安全性。开发的系统展示了识别的两层架构结构:身份识别和验证模块。验证模块主要对从CASIA数据库中获取的虹膜图像进行入组、归一化、定位、特征提取和匹配。实验结果表明,所开发的系统在不完全消除POS机持卡人欺诈的情况下,可以显著减少持卡人欺诈。
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 去求助
来源期刊
自引率
0.00%
发文量
14
期刊最新文献
The Mobile Augmented Reality Application for Improving Learning of Electronic Component Module in TVET A Systematic Mapping on Android-based Platform for Smart Inventory System Sentiment Classification of Tweets with Explicit Word Negations and Emoji Using Deep Learning Protocol Efficiency Using Multiple Level Encoding in Quantum Secure Direct Communication Protocol SECURING IOT HEALTHCARE APPLICATIONS AND BLOCKCHAIN: ADDRESSING SECURITY ATTACKS
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1