Enhancing Electoral Integrity and Accessibility: A Blockchain and Facial Recognition-Based Electronic Voting System

Abstract

A novel electronic voting system (EVS) was developed by integrating blockchain technology and advanced facial recognition to enhance electoral security, transparency, and accessibility.The system integrates a public, permissionless blockchain-specifically the Ethereum platform-to ensure end-to-end transparency and immutability throughout the voting lifecycle.To reinforce identity verification while preserving voter privacy, a facial recognition technology based on the ArcFace algorithm was employed.This biometric approach enables secure, contactless voter authentication, mitigating risks associated with identity fraud and multiple voting attempts.The confluence of blockchain technology and facial recognition in a unified architecture was shown to improve system robustness against tampering, data breaches, and unauthorized access.The proposed system was designed within a rigorous research framework, and its technical implementation was critically assessed in terms of security performance, scalability, user accessibility, and system latency.Furthermore, potential ethical implications and privacy considerations were addressed through the use of decentralized identity management and encrypted biometric data storage.The integration strategy not only enhances the verifiability and auditability of election outcomes but also promotes greater inclusivity by enabling remote participation without compromising system integrity.This study contributes to the evolving field of electronic voting by demonstrating how advanced biometric verification and distributed ledger technologies can be synchronously leveraged to support democratic processes.The findings are expected to inform future deployments of secure, accessible, and transparent electoral platforms, offering practical insights for governments, policymakers, and technology developers aiming to modernize electoral systems in a post-digital era.