A REVIEW OF BIOMETRIC FACIAL RECOGNITION ELECTRONIC VOTING SYSTEM: NIGERIA POLLS
- Authors
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Apena, W. O
Federal University of Technology, Akure. Nigeria
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Odeyemi, C. S
Federal University of Technology, Akure. Nigeria
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- Keywords:
- Biometric, facial recognition, verification,, polls, electorates
- Abstract
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The study examines impacts of artificial intelligence (AI) applications into the social-economic activities technology-driven knowledge management concept for Nigeria democratic poll. Election activities always take another dimension after electoral polls in Nigeria. Democratic process in Nigeria calls for global attention and local media crisis; since the last free and fair election organized, June 12, 1993. Nigerian polls require technological intervention in screening and verification of electorate during voting process to enhance credibility in election process. Biometric features are proven to be a unique process of verification and authentication for individual. This paper discusses a framework for facial biometric system using AI to design a smooth democratic process. The framework is seen as a unique form of electorates screening process and identification. The initiative will promote security, efficiency, and possible solutions for established voters’ fraud in Nigeria and enhance the fundamental rights of all citizens to participate in their democratic process using biometric verification and authentication system (BVAS) by the independent national electoral commission (INEC).
- Author Biographies
- References
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- 2024-05-20
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