Transparelect: A Comprehensive Approach to Biometric-Enabled Electronic Voting

Transparelect: A Comprehensive Approach to Biometric-Enabled Electronic Voting | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Transparelect: A Comprehensive Approach to Biometric-Enabled Electronic Voting Shunmugathammal M, Lalitha k, Mughuntha V, Harish B, Sai Akash BM, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5488205/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Ensuring fair and transparent elections is reliant on the authenticity of voters and the purity of ballots cast. This paper discusses the way that double voting and fraudulently verifying voters can be solved with biometric technologies incorporated together with machine learning. To do this, a dual authentication system is proposed which uses a fingerprint sensor for utmost accuracy during identification, coupled with face recognition in order to minimize instances of dual registration in traditional (Electronic Voting Machine) EVM. The system continuously checks the identities of individual voters while relaying the details of their verification process to a central control unit; this increases both effectiveness and safety. Besides, this research develops as well as tests algorithms of machine learning where Neural Networks (NN) are used to estimate turnout percentages. In addition, techniques associated to data pre-processing have been utilized in order to improve accuracy. Consequently, it shows how proposed NN based models work when predicting voting results hence contributing towards better secured and freer from any form manipulation polling systems. Voter authentication Biometric technologies Double voting prevention Neural Networks (NN) Support Vector Machine (SVM) Voter Turnout Prediction Machine Learning (ML Electronic Voting Machine EVM Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-5488205","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":380532648,"identity":"f55a7dec-b52d-4d42-b571-67fe521e36d1","order_by":0,"name":"Shunmugathammal M","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAvUlEQVRIiWNgGAWjYDACCTB5QA5MPiBFizGYTCBFS2IDiCJKi/zsHtNNN9vupM8PO/wQaIudnG4DAS0Gd86Y3c5te5a78XaaAVBLsrHZAUJaJHJAWg7nbpydANJyIHEbIS3yMyBa0g1np38gTgvDDYiWBHnpHCJtMbiRVnY759wzww3SOQUHEgyI8Iv8jORtt3PK7sjLz07f/OFDhZ0cQS1gwMgGtA6s0oAY5WDwB2hdA9GqR8EoGAWjYKQBAPcXTWLZoG+7AAAAAElFTkSuQmCC","orcid":"","institution":"SRM Institute of Science and Technology","correspondingAuthor":true,"prefix":"","firstName":"Shunmugathammal","middleName":"","lastName":"M","suffix":""},{"id":380532649,"identity":"ed590c23-de27-4c22-9c42-58561808eba5","order_by":1,"name":"Lalitha k","email":"","orcid":"","institution":"SRM Institute of Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"Lalitha","middleName":"","lastName":"k","suffix":""},{"id":380532655,"identity":"bf9f706d-184f-4636-b26a-d3b4382c2d94","order_by":2,"name":"Mughuntha V","email":"","orcid":"","institution":"SRM Institute of Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"Mughuntha","middleName":"","lastName":"V","suffix":""},{"id":380532656,"identity":"2db86887-f73c-41e0-acda-51b26399b2b9","order_by":3,"name":"Harish B","email":"","orcid":"","institution":"SRM Institute of Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"Harish","middleName":"","lastName":"B","suffix":""},{"id":380532657,"identity":"92083afb-e8cc-41ba-bfe9-6e84ad7262f8","order_by":4,"name":"Sai Akash BM","email":"","orcid":"","institution":"SRM Institute of Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"Sai","middleName":"Akash","lastName":"BM","suffix":""},{"id":380532659,"identity":"67423c04-7dc6-418c-a78a-22fd872c6e52","order_by":5,"name":"Nithish KB","email":"","orcid":"","institution":"SRM Institute of Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"Nithish","middleName":"","lastName":"KB","suffix":""}],"badges":[],"createdAt":"2024-11-20 06:38:15","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-5488205/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5488205/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":84113070,"identity":"a7d35805-d6b5-4b52-894a-dba3c9837182","added_by":"auto","created_at":"2025-06-07 04:38:35","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1125060,"visible":true,"origin":"","legend":"","description":"","filename":"ManuscriptShunmugathammalTransparelect.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5488205/v1_covered_c3dd841b-c4b5-441d-bc2f-4a17e12d5db0.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Transparelect: A Comprehensive Approach to Biometric-Enabled Electronic Voting","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Voter authentication, Biometric technologies, Double voting prevention, Neural Networks (NN), Support Vector Machine (SVM), Voter Turnout Prediction, Machine Learning (ML, Electronic Voting Machine EVM","lastPublishedDoi":"10.21203/rs.3.rs-5488205/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5488205/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eEnsuring fair and transparent elections is reliant on the authenticity of voters and the purity of ballots cast. 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