Secured E voting System Using Two factor Biometric Authentication
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.
2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC)