Enhancing transaction security through decentralized biometric identity verification using face recognition on ethereum

Abstract

Facial recognition technology has been recognized as a powerful tool for enhancing security and authentication, especially in transaction systems. However, serious risks—like data breaches and unauthorized access—are presented by traditional methods that store biometric data in centralized databases. To address these concerns, a decentralized facial biometric system built on blockchain and smart contracts has been developed. User privacy and security are prioritized by this approach. Instead of being reliant on a central database, transactions are securely verified by our system through a comparison of users’ facial biometrics with data that has already been stored in a distributed, tamper-resistant way. By distributing the data across a decentralized network, the system minimizes the risk of unauthorized access or data breaches. This setup not only strengthens security but also builds trust with users by protecting their privacy—while still delivering consistent and reliable performance.