Authors: Harshvardhan Patil, Dhruv Agrawal, SuryaPratap Singh Solanki, Parth Patel
Abstract: This research paper explores the development of a next-generation banking system that integrates biometric authentication, specifically facial recognition, to ensure robust security and a seamless user experience. The project, titled CENT (Centralized Enhanced Neural- banking Technology), combines machine learning models, backend services, frontend design, and database integration to simulate a secure and scalable financial application. Built using technologies like OpenCV and TensorFlow, the system features a comprehensive pipeline including face detection, user registration, account management, and transaction processing, all accessible through a modern web interface. This paper elaborates on the project's architecture, system requirements, design methodology, implementation details, and real-world applications, providing a comprehensive overview of the CENT system.
DOI: http://doi.org/10.5281/zenodo.17597420
