Title: Towards a secure and automated platform for fingerprint-based electronic voting machine

Authors: Ifthekhar Ahammad; Pradip Lal Biswas; Juwel Chowdhury; Obaedur Rahim Rizbhi; Sanjana Siraj; Ashraful Islam

Addresses: Department of Electrical and Electronic Engineering, Leading University (LU), Rang Mahal Tower, Bandar Bazar, Sylhet-3100, Bangladesh ' Department of Electrical and Electronic Engineering, Leading University (LU), Rang Mahal Tower, Bandar Bazar, Sylhet-3100, Bangladesh ' Department of Electrical and Electronic Engineering, Leading University (LU), Rang Mahal Tower, Bandar Bazar, Sylhet-3100, Bangladesh ' Department of Electrical and Electronic Engineering, Leading University (LU), Rang Mahal Tower, Bandar Bazar, Sylhet-3100, Bangladesh ' Department of Electrical and Electronic Engineering, Leading University (LU), Rang Mahal Tower, Bandar Bazar, Sylhet-3100, Bangladesh ' Department of Electrical and Electronic Engineering, Leading University (LU), Rang Mahal Tower, Bandar Bazar, Sylhet-3100, Bangladesh

Abstract: Electronic voting machines (EVM) inherit the act of voting using electronic systems to cast and count votes. This paper deals with the design and development of an electronic voting machine using biometric fingerprint identification system in order to provide better performance, flexibility and economic advantages with higher level of security to the casting and voting system. The proposed fingerprint-based EVM allows the voters to scan their fingerprint, which is then compared with the database. Upon completion of voter identification, voters are allowed to cast their votes and votes are updated immediately. The proposed electronic voting system is fast, efficient and fraud-free. It provides better security with biometric fingerprint system, makes the voting machine user friendly and reduces the cost to a minimum level.

Keywords: EVM; fingerprint; voting machine; automatic; biometrics; machines; robotics.

DOI: 10.1504/IJIMR.2018.090943

International Journal of Intelligent Machines and Robotics, 2018 Vol.1 No.1, pp.34 - 44

Received: 02 Mar 2017
Accepted: 10 Mar 2017
Published online: 04 Apr 2018 *