Beyond Passwords: Advancements in Facial Payments through Convolutional Neural Networks

Author(s)	Sargam Sah, Mahima Pawar, Tanvee Joshi, Prof. Sumedh Pundkar
Country	India
Abstract	This study introduces an innovative online payment solution leveraging facial recognition technology powered by Convolutional Neural Networks (CNNs). We aim to create a secure and user-friendly payment system by eliminating passwords and simplifying transactions. We outline the process of collecting and preprocessing facial data to train a robust CNN model for precise facial recognition. A prototype platform securely registers users' facial data and links it to their accounts, authorizing payments through facial analysis. Evaluation focuses on accuracy, speed, security, and user feedback, contributing to advancements in biometric-based payment solutions, and enhancing trust in online transactions.
Keywords	Facial recognition, Authentication, Secure online payments, Convolutional Neural Networks (CNN), Biometric security, Digital transaction security, User-friendly authentication
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 6, Issue 3, May-June 2024
Published On	2024-06-01
DOI	https://doi.org/10.36948/ijfmr.2024.v06i03.16401
Short DOI	https://doi.org/gtw6tx

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International Journal For Multidisciplinary Research