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@article{194385,
        author = {Bhakti Kailas Pawal and Anjali Chandrakant Jadhav and Pallavi Narhari Pawar and Sakshi Dipak Lad and Prof. T. S. Pawar},
        title = {Secure UPI Transaction System using Face Authentication},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {4406-4409},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=194385},
        abstract = {In today’s digital world, UPI transactions are widely used for online payments. Most UPI systems use a PIN for authentication, but PINs can be stolen or misused. To improve security, this project proposes a Secure UPI Transaction System using Face Authentication. The main aim of this project is to replace the traditional PIN-based verification method with face recognition technology. The system is developed as a web-based application using Python. It uses OpenCV and a live camera to scan and detect the user’s face during a transaction. The captured face is compared with the stored face data of the registered user for authentication and verification. If the face matches successfully, the transaction is approved. If it does not match, the transaction is rejected. This method increases banking security and reduces the risk of fraud. The system focuses on providing accurate face detection and fast verification to ensure smooth and secure UPI transactions. Overall, the proposed system enhances digital payment security by using biometric face authentication instead of a PIN, making online transactions safer and more reliable.},
        keywords = {UPI Security, Face Authentication, Face Recognition, OpenCV, Python Web Application, Biometric Verification, Banking Security, Digital Payment Security, Fraud Prevention, Python, Automation, etc.},
        month = {March},
        }