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Proceedings Paper

Method for secure electronic voting system: face recognition based approach
Author(s): M. Affan Alim; Misbah M. Baig; Shahzain Mehboob; Imran Naseem
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Paper 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.

Paper Details

Date Published: 19 June 2017
PDF: 5 pages
Proc. SPIE 10443, Second International Workshop on Pattern Recognition, 104430H (19 June 2017);
Show Author Affiliations
M. Affan Alim, Karachi Institute of Economics and Technology (Pakistan)
Misbah M. Baig, Karachi Institute of Economics and Technology (Pakistan)
Shahzain Mehboob, Karachi Institute of Economics and Technology (Pakistan)
Imran Naseem, Karachi Institute of Economics and Technology (Pakistan)

Published in SPIE Proceedings Vol. 10443:
Second International Workshop on Pattern Recognition
Xudong Jiang; Masayuki Arai; Guojian Chen, Editor(s)

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