BIOMETRIC ELECTRONIC VOTING SYSTEM FOR UNIVERSITY ELECTIONS

Abstract

Over the years, various Biometric Voting System were proposed to exploit the utility of fingerprint patterns for user authentication. However, there are problems associated with these fingerprint pattern authentication systems such as: scars on fingers. This research was undertaken to develop methods to mitigate rigging attack. Two authentication methods using: (i) optical scan voting systems allow a computer to count a voter's mark on a ballot; and (ii) DRE voting machines which collect and tabulate votes in a single machine, were proposed. The first and second proposed methods were incoiporated into the proposed (AFI) automated fingerprint identification, voter registration system. To improve the efficiency of voting system, reduce rate of rigging, collection of votes secure and reliable. In many proposals, the security of data, privacy of the voters and the accuracy of the vote are also main aspects that have to be taken into consideration while building secure Finger-print electronic voting system. In this project the authenticating voters and polling data security aspects for finger-print electronic voting system is covered. It ensures that vote casting cannot be altered by unauthorized person. Voter identification is required during two phases of the electoral process: first for voter registration in order to establish the right to vote and afterwards, at voting time, to allow a citizen to exercise their right to vote by verifying if the person satisfies all the requirements needed to vote (authentication).