Secure Transaction System Using Face Recognition

Abstract

The use of online payment is increasing dramatically in today's environment. As a result, this initiative was created to protect payments against internet scams. The project's main goal is to create a secure payment system that uses face recognition and Open CV in Python. It makes use of the confidence level, which is defined as the value generated by the system and used to determine the forecast's accuracy. Several graphic modules were combined with a pattern mirror to create this piece. Before entering a PIN, the system in this project uses face detection and a proxy. Because it embeds elements of the users' faces to increase system accuracy, the algorithm employed in this research will improve the security and efficiency of face recognition. To strengthen security, we have introduced three-fold encryption while the data is being transmitted for authentication. The user's bank balance is confirmed and the work is completed after the system has completed its verification. The suggested system outperforms existing functions, and its user-friendly interface makes it simple to use.