Secured E-voting System Using Two-factor Biometric Authentication

Abstract

Building a secure voting system that offers privacy of conventional voting system with proper voter authentication & transparency has been a challenge for a due course of time. The research work proposes a secured and robust electronic voting system based on popular machine learning based facial recognition algorithms and biometric authentication methodologies for the purpose of building a secure voting system. In particular, it focuses on the potential working of face detection and recognition and bio-metric authentication namely bio-metric scan, and the implementation procedure, which improves the security and decreases the duplicate vote and fraudulent to make the system as more efficient and user friendly in nature.