An Innovative Approach in Electronic Voting System Based on Fingerprint and Visual Semagram

An election is a formal procedure through which a group of individuals decides on an individual or multiple individual to be in a position of authority using mechanical, paper-based and electronic methods. Despite the measures to secure the voting systems from fraudulent activities among corrupt politicians and election officers, attackers have been compromising the security measures thereby, providing illegitimate opportunities for unwanted contestants to win elections. This research was on the development of an electronic voting system using fingerprint and visual semagram techniques. The proposed e-voting model had six modules for effectiveness in the e-voting system. It was implemented using Java in Android Studio and C-Sharp (C#) in Microsoft Visual Studio, and was tested in an official deanship election of five faculties in a tertiary institution. Every illegible staff was enrolled and presented with a voter identification number (VIN) card. The voter's fingerprint and VIN were the fundamental credentials required for authentication and to poll a legitimate vote to a preferred contestant at a designated polling centre. The sensitive results were firstly encrypted and secondly concealed in an image to produce "Vimago" using the visual semagram technique. The "Vimago" was subjected to steganalysis and concealed results were not detected. An Equal Error Rate of 0.0019, a sensitivity of 0.9962 and an accuracy of 99.81% were obtained from the experiment. Based on the experimental results, the proposed e-voting model is highly recommended for use by various electoral commissions for voting and security agencies for the dissemination of sensitive information through the public network, the manufacturers of electronic voting machines are hereby offered a model for use in the development and securing of a fingerprint-based platform for a voting system were made among other recommendations.