Smart Voting System Using Face Recognition Computer Vision
Year: 2025
Type: article
Abstract: In modern democracies, ensuring a secure and reliable voting process is crucial. Traditional voting systems areprone to issues such as voter fraud, impersonation, and long queues. This paper presents a Smart Voting Systemthat leverages Face Recognition and Computer Vision to enhance security and efficiency in elections. Thesystem authenticates voters using facial recognition technology, eliminating the need for manual identityverification. The methodology involves image acquisition, pre-processing, feature extraction, and face matchingusing deep learning models. The results indicate that our system improves voter authentication accuracy andreduces fraudulent voting activities. The proposed system ensures transparency, security, and ease of access,making it a viable solution for modern electoral processes.
Authors: G. GOPALA KRISHNA, K. NAGA BHAVITHA, K. MANIKANTA, S. NAVYASREE, P.VISHNU VARDHAN
Language: English
Subfield: Signal Processing
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6930484661
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