Authors: Roshni.S, Sudarshana.K
Abstract: Face recognition technology has emerged as a powerful biometric solution capable of enhancing the security and efficiency of modern voting systems. Traditional voting mechanisms, including paper ballots and manual electronic verification, face numerous challenges such as voter impersonation, multiple voting, long verification times, and susceptibility to human error. In recent years, the rapid advancement of artificial intelligence and machine learning has enabled more accurate and scalable facial recognition systems, making them suitable for large-scale applications such as elections. This paper presents an in-depth study of a face recognition–based voting system, discussing its conceptual design, system architecture, methodology, security mechanisms, performance considerations, advantages, limitations, ethical implications, and future scope. The study concludes that while face recognition technology has significant potential to improve election integrity and voter convenience, successful implementation requires robust privacy protection, legal frameworks, and public trus.
