Blockchain and AI-Driven Palmprint Biometrics for Secure Voting Systems in E-Governance Applications

Abstract

This study introduces a secure voting system enhancing voter authentication, data integrity by integrating blockchain technology with an AI-driven biometric scheme, palmprint. The proposed method ensures that fraudulent voting is eliminated and allows trust within the election process in applications of e-governance because of the use of distributed ledger technology and reliable biometric verification. The system leverages the use of smart contracts to enable safe and secure transactions. It makes use of a CNN that has been trained on the PolyU Palmprint Database to check and authenticate palm prints. Simulation results show that the AI model presents phenomenal performance with 99.85% authentication accuracy and 35.42 transaction/sec blockchain free of data integrity issues. The system is also assured of an error-free user experience, excellent scalability, and lower latency. The proposed framework presents an excellent solution towards addressing the apprehensions regarding security and efficacy about the digital voting system that promotes safe and translucent e-governance.