Method for secure electronic voting system: face recognition based approach
Muhammad Affan Alim, Misbah M. Baig, Shahzain Mehboob, Imran Naseem · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2017
In this paper, we propose a framework for low cost secure electronic voting system based on face recognition. Essentially Local Binary Pattern (LBP) is used for face feature characterization in texture format followed by chi-square distribution is used for image classification. Two parallel systems are developed based on smart phone and web applications for face learning and verification modules. The proposed system has two tire security levels by using person ID followed by face verification. Essentially class specific threshold is associated for controlling the security level of face verification. Our system is evaluated three standard databases and one real home based database and achieve the satisfactory recognition accuracies. Consequently our propose system provides secure, hassle free voting system and less intrusive compare with other biometrics.