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).
