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To develop a secure online voting system that prevents impersonation and multiple voting using machine learning and biometrics.

February 2, 2026Open Access

Secure E-Voting Using Multimodal Biometric

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To develop a secure online voting system that prevents impersonation and multiple voting using machine learning and biometrics.
Utilizes facial biometric authentication with real-time face recognition.
Implements action-based liveness detection to verify the voter's presence.
Captures multiple facial expressions during voter registration for accurate identification.
Employs Euclidean distance for duplicate face detection.
Maintains secure voter metadata while preserving anonymity during elections.
Significantly reduces spoofing attempts during online voting.
Prevents multiple registrations by the same voter.
Ensures one-person-one-vote integrity through continuous monitoring.
Demonstrates effectiveness with lightweight deployment on standard hardware.

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This project demonstrates a secure e-voting system using facial biometrics and liveness detection, improving voter integrity.

Dongare et al. (2026) studied this question.

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