Smart Voting Machine using Fingerprint Sensor and Face Recognition
N. Bhuvaneswary, Challa Venkata Reddy, Chava Aravind, Kammari Hari Prasad · 2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC) · 2022
Election is the mechanism which is used by people to choose a leader. The citizens can cast their vote either through ballet paper or Electronic Voting Machine [EVM]. Using either way of voting has a chance to misuse the other votes. As a result, this research work proposes a fingerprint sensor and face recognition-enabled electronic voting system. This helps to conduct a safe election without rigging as fingerprint and face are used as identification features. The vote caster fingerprints will be taken and it will be extracted and saved in the database for the voter registration and authentication processes. Storing the information in the database will prevent more than one registration from a single person. At the time of voting or during voting day, the individual person need to scan his/her fingerprint and it will be compared with the fingerprint database if the fingerprint is found in the fingerprint database. By using the Voter identity number and fingerprint, numerous duplicate registrations can be stopped and this will lead to high rate of actual success during voting. Voters can cast their ballots from any part if world by using their voter's unique identifier, authentication responses given on enrollment, and a token key supplied immediately for every member via the specially designed election web module. The administrator will send the token to the linked candidate's Email address. This proposed project has been implemented on University of Ibadan. Finally, the University of Ibadan had successfully completed the online voting system project by eliminating the occurrence of rigging. Some extra features are added to the project when compared with the existing system.