International Journal of Advanced Research in Computer and Communication Engineering

Abstract: Elections are an essential part of democratic systems, but traditional voting methods still face challenges such as identity fraud, duplicate voting, and difficulties in voter verification. Manual authentication processes are time-consuming and may lead to errors, reducing transparency and efficiency during elections. With the advancement of biometric technologies and artificial intelligence, secure electronic voting systems can be developed to improve voter authentication and prevent unauthorized voting. This paper proposes VOTEX – One Person One Vote, a biometric-based voting system that combines fingerprint verification and face recognition to ensure secure and accurate identification. The system captures voter details and biometric data during registration, verifies identity through multi-level authentication, and prevents multiple voting by maintaining real-time vote status in the database. It also provides flexible authentication options for disabled voters to ensure accessibility and inclusiveness. By integrating technologies such as Flask, OpenCV, MTCNN, CNN-based face recognition, and MySQL, the proposed system aims to provide a reliable, secure, and user-friendly voting solution that enhances electoral transparency and trust.

Keywords: Biometric authentication, electronic voting system, face recognition, fingerprint verification, MTCNN, CNN, Flask framework, secure voting, voter authentication, one person one vote

Downloads: | DOI: 10.17148/IJARCCE.2026.15221