Hanaf Hamran, M. Abdullah, M. E. Naveed, Abdul Rehman Afzal
{"title":"Design and Implementation of Secure Electronic Voting System Using Fingerprint Biometrics","authors":"Hanaf Hamran, M. Abdullah, M. E. Naveed, Abdul Rehman Afzal","doi":"10.57041/jaic.v1i1.887","DOIUrl":null,"url":null,"abstract":"Fingerprint-Based Voting Project is an application that recognizes users based on their fingerprints. Each person has a different finger pattern, so you can easily authenticate voters. This system allows voters to vote using their fingerprints. Fingerprints are used to identify users uniquely. As the fingerprint minutiae features differ for each human being, the fingerprint is utilized to authenticate the voters. Voters can only vote once for a candidate. The system will not allow the voter to vote for a second time. The system allows administrators to add names and candidate photos of candidates nominated for election. The administrator only has the right to add the names and photos of nominated candidates. The admin will verify voters and register voter names. Administrators authenticate users by verifying their identities and then enrolling voters. Users can log in and vote for candidates after receiving a user ID and password from the administrator. The system allows the user to vote for only one candidate for a particular election. The voter and the admin can view the election results using the election ID. Voting results will be updated immediately. This study shows that the proposed web-based voting system is fast, efficient and fraud-free.","PeriodicalId":48494,"journal":{"name":"Journal of Artificial Intelligence and Soft Computing Research","volume":"17 1","pages":""},"PeriodicalIF":3.3000,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Artificial Intelligence and Soft Computing Research","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.57041/jaic.v1i1.887","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0
Abstract
Fingerprint-Based Voting Project is an application that recognizes users based on their fingerprints. Each person has a different finger pattern, so you can easily authenticate voters. This system allows voters to vote using their fingerprints. Fingerprints are used to identify users uniquely. As the fingerprint minutiae features differ for each human being, the fingerprint is utilized to authenticate the voters. Voters can only vote once for a candidate. The system will not allow the voter to vote for a second time. The system allows administrators to add names and candidate photos of candidates nominated for election. The administrator only has the right to add the names and photos of nominated candidates. The admin will verify voters and register voter names. Administrators authenticate users by verifying their identities and then enrolling voters. Users can log in and vote for candidates after receiving a user ID and password from the administrator. The system allows the user to vote for only one candidate for a particular election. The voter and the admin can view the election results using the election ID. Voting results will be updated immediately. This study shows that the proposed web-based voting system is fast, efficient and fraud-free.
期刊介绍:
Journal of Artificial Intelligence and Soft Computing Research (available also at Sciendo (De Gruyter)) is a dynamically developing international journal focused on the latest scientific results and methods constituting traditional artificial intelligence methods and soft computing techniques. Our goal is to bring together scientists representing both approaches and various research communities.