• Dr. Sharath Kumar A J
• Harshith P
• Namith Ragh
• Harshith Raj
• Parikshith

This research introduces an innovative approach to enhance election security by incorporating fingerprint sensors and face recognition technology into an electronic voting system. Traditional voting methods, such as paper ballots and Electronic Voting Machines (EVMs), are vulnerable to misuse, emphasizing the need for a more robust and reliable system. In the proposed system, voters’ fingerprints are captured and stored in a database during registration, preventing multiple registrations by the same individual. On election day, voters authenticate their identity by scanning their fingerprints, which are then compared with the stored database. This process, combined with a unique identifier, significantly reduces the risk of duplicate registrations and ensures a high success rate in the voting process. Additionally, voters can cast their ballots remotely using their unique identifier, authentication responses, and a token key provided through a dedicated election web module. The successful implementation of this system at the University of Ibadan demonstrates its effectiveness in eliminating electoral fraud and enhancing overall election security. The paper also highlights additional features incorporated into the proposed system, surpassing the functionality of existing systems.

AS608 Optical Fingerprint Sensor, Infrared Face Identification Camera, Online Database

"Biometric Voting Machine: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 3, page no.f98-f105, March-2024, Available :http://www.jetir.org/papers/JETIR2403515.pdf

"Biometric Voting Machine: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 3, page no. ppf98-f105, March-2024, Available at : http://www.jetir.org/papers/JETIR2403515.pdf