19 June 2017 Method for secure electronic voting system: face recognition based approach
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Proceedings Volume 10443, Second International Workshop on Pattern Recognition; 104430H (2017) https://doi.org/10.1117/12.2280495
Event: Second International Workshop on Pattern Recognition, 2017, Singapore, Singapore
Abstract
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.
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M. Affan Alim, M. Affan Alim, Misbah M. Baig, Misbah M. Baig, Shahzain Mehboob, Shahzain Mehboob, Imran Naseem, Imran Naseem, } "Method for secure electronic voting system: face recognition based approach", Proc. SPIE 10443, Second International Workshop on Pattern Recognition, 104430H (19 June 2017); doi: 10.1117/12.2280495; https://doi.org/10.1117/12.2280495
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