Three-level biometric digital voting system
Prashant Kumar, Ramesh Chandra Poonia, Manjula Shanbhog · 2025
The aim of this research paper is to design and develop a new model of electronic voting machine (EVM) with enhanced features, that are not present in the current EVM model. The paper proposes the new model of EVM that uses biometric identifiers, such as fingerprints, iris recognition, and facial recognition, to make voting more secure and efficient. Previously, voting was done with paper ballots. This method suffered from issues like over voting, lost or misplaced ballots, and it consumed a lot of time in counting paper ballots and was also harmful for the environment due to the use of papers. The new EVM system aims to solve those issues because many security levels are added to this EVM system. It can use biometric identifiers to ensure each voter is authenticated securely and records their votes accurately. This EVM system can prevent fraud, such as voter casting multiple votes or a person illegally voting on behalf of others. The system first verifies the voters, and then the voters can cast their votes.