Enhancing E-Voting with Retinal Authentication
Lakshmi S Hanne, B. Meenakshi Sundaram, M Rakshitha, V Karrthik Kishore, Arthy Meenakshi, Santhosh Krishna B V · 2024
In modern e-voting systems, ensuring robust security and integrity is paramount. To address this, the paper suggests the integration of retinal authentication as a pioneering method for voter verification. The proposed paper advocates the utilization of iris recognition technology to verify the voters. Leveraging the Daugman algorithm, unique patterns within the eye are meticulously identified, serving as an unparalleled biometric identifier. Subsequently, employing the RSA algorithm, this data is encrypted to fortify its confidentiality. An Artificial Neural Network (ANN) is then employed to authenticate the encrypted patterns, ensuring accuracy and reliability. Once verified, users are granted voting eligibility, marking a significant stride towards eliminating fraudulency of votes and enhancing the efficacy of the current voting infrastructure. By reducing the possibility of duplicate votes, retinal authentication enhances the voting system’s dependability and impartiality. With this creative strategy, we can take a big step forward in maintaining democratic values and strengthening election integrity in the digital age. In such vital applications, retinal authentication is a useful technique for guaranteeing secure and precise identification due to the complexity, stability, and uniqueness of retinal patterns. Hence, this innovative approach not only bolsters security but also fosters trust and transparency in the democratic process.