Empirical Assessment of Artificial Intelligence Enabled Electronic Voting System Using Face Biometric Verification Strategy
Mani Tamilselvi, B. Manimaran, Sanasam Chanu Inunganbi · 2023
Each and every citizen has a primary concern to vote for the nation, in which it is the basic need to all countries in the globe. But the fact is, every election around 20% votes are not polled from the voter side. This is due to the conditions of rural village problems, lack of time, health issues and so on. So that the need for an electronic voting system is formed, but the major issue in the system is security. All the voters have a question in their mind is the concern of privacy and security issues. This paper is intended to design a novel face based biometric methodology to authenticate to place their valuable vote in the correct manner. The goal of this methodology is to create an electronic voting mechanism that will make elections more reliable and convenient. Voters prefer to submit their ballots in specific locations for voting, such as polling booths and are willing to wait in a long line to do so. Fake votes cast by ineligible voters might generate just as many issues. For that reason, this work proposes an electronic voting mechanism that has the potential to be quite helpful. The government may be able to conserve the budget normally spent on elections thanks to this technique. This proposed scheme introduced a face recognition approach to identify the respective voter and authenticate them to vote further, only if the respective person is eligible to vote with correct identity. The logic of Artificial Intelligence (AI) is applied to check the process, that is the face matching with the trained samples and the resulting section provides the proper proof to the efficiency of the proposed scheme in detail. As a whole, the system is being created to facilitate the work of the Independent Electoral Commission of India and to lessen the burden on people who work there.