Fingerprint-Based Voting System Using C#: A Secure Biometric Approach to Modern Elections

Integrity in elections is fundamental to democratic processes, yet traditional voting systems face significant vulnerabilities such as rigging and voter fraud. This paper introduces a biometric voting so- lution leveraging fingerprint recognition to enhance electoral transparency developed using C# and SQL Server Studio to improve electoral transparency and security. The proposed system employs bio- metric authentication to uniquely identify voters, effectively eliminating impersonation and multiple voting incidents. System performance evaluations demonstrate a biometric matching accuracy of 98%, underscoring the practicality and efficiency of biometric systems in real- world electoral environments.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-04-04
DOI
https://doi.org/10.22214/ijraset.2025.68176
Primary Topic
Internet Traffic Analysis and Secure E-voting
Type
article
Field-Weighted Citation Impact
0.00
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article

Fingerprint-Based Voting System Using C#: A Secure Biometric Approach to Modern Elections

Tarun Kancherla
International Journal for Research in Applied Science and Engineering Technology
Internet Traffic Analysis and Secure E-voting
article

Fingerprint-Based Voting System Using C#: A Secure Biometric Approach to Modern Elections

Tarun Kancherla
article en

Abstract

Integrity in elections is fundamental to democratic processes, yet traditional voting systems face significant vulnerabilities such as rigging and voter fraud. This paper introduces a biometric voting so- lution leveraging fingerprint recognition to enhance electoral transparency developed using C# and SQL Server Studio to improve electoral transparency and security. The proposed system employs bio- metric authentication to uniquely identify voters, effectively eliminating impersonation and multiple voting incidents. System performance evaluations demonstrate a biometric matching accuracy of 98%, underscoring the practicality and efficiency of biometric systems in real- world electoral environments.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(4)
Openalex Percentile: Top 97%
Internet Traffic Analysis and Secure E-voting
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