Paper Key : IRJ************161
Author: Apeksha Jitendra Ghadage,Vaishnavi Ashok Jagtap,Devika Dhanyakumar Mane ,Mitesh Sunil Patil,Dr. Y. D. Sinkar
Date Published: 11 Nov 2024
Abstract
Facial Vision Secure is a multi-platform biometric authentication system designed to enhance security and prevent fraudulent activities on digital platforms. Leveraging advanced facial and eye recognition technologies, the system captures unique biometric data, which is encrypted and stored on a decentralized blockchain network. This decentralized architecture, powered by Ethereum and IPFS, ensures data security and user privacy by preventing tampering. During authentication, real-time biometric data is matched with stored encrypted references, offering a secure, reliable method for user identification. With a web-based application focus on mobile Android logins, Facial Vision Secure aims to achieve high accuracy, prevent spoofing attacks, and provide a seamless user experience. Results demonstrate enhanced security, precise identification, and resilient decentralized storage, setting a new benchmark in multi-platform biometric authentication. Future enhancements will integrate additional biometric features, strengthen anti-spoofing mechanisms, and expand cross-platform compatibility for an even more robust and user-friendly experience.
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