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Original Article

Smart Elector Authentication System Leveraging RFID and Fingerprint Biometrics for Secure Voting

Ranjitha J U1 Srividiya C N2 Rohini N B3 Manoj S4 Rohan S5

1 3 4 5 Students, Department of ECE, BGS Institute of Technology, Adichunchanagiri University, B G Nagara, Karnataka, India. 2 Assistant Professor, Department of ECE, BGS Institute of Technology, Adichunchanagiri University, B G Nagara, Karnataka, India.

Published Online: May-August 2025

Pages: 04-10

Cite this article

↗ https://www.doi.org/10.59256/indjece.20250202002
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Abstract

The demand for secure, transparent, and tamper- resistant voting mechanisms has increased in the wake of growing concerns over electoral fraud, impersonation, and data breaches. This paper presents a novel Smart Voting System leveraging dual-layer authentication using Radio Frequency Identification (RFID) and biometric fingerprint verification. The system is designed to authenticate voters through their unique RFID cards and biometric identities, thereby preventing unauthorized access and ensuring each vote is cast only once. Votes are encrypted and securely stored in a centralized cloud- based platform, enabling real-time monitoring and result verification. Furthermore, the system incorporates blockchain- inspired data integrity concepts for immutable vote records. The proposed architecture significantly enhances transparency, reduces manual intervention, and supports remote voting through constituency mapping. This approach not only modernizes the electoral process but also ensures data confidentiality, integrity, and ease of access for voters and election administrators alike.

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Citations

Ranjitha J U, Srividiya C N, Rohini N B, Manoj S, Rohan S, “Smart Elector Authentication System Leveraging RFID and Fingerprint Biometrics for Secure Voting”, Indian Journal of Electronics and Communication Engineering, Volume 02, Issue 02, May-August 2025, PP: 04-10.

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© 2026 The Author(s). Published by Fifth Dimension Research Publication.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/ ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.

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