FACE RECOGNITION BASED BANK TRANSACTIONS AUTHORIZATION SYSTEM

FACE RECOGNITION BASED BANK TRANSACTIONS AUTHORIZATION SYSTEM

Dr. Geetha M 1, Manoj G M 2

[1] Associate Professor, Department OF MCA, BIET, Davanagere.

[2] Student, Department of MCA, BIET, Davanagere.

ABSTRACT

This paper presents a novel approach to enhancing security in banking transactions through the integration of face recognition technology. Traditional authentication methods in banking, such as passwords and PINs, are susceptible to security breaches and fraud. In response to these vulnerabilities, there is a growing demand for more secure and user-friendly authentication mechanisms. Face recognition technology offers a promising solution by leveraging biometric features unique to each individual for authentication purposes. Upon initiating a transaction, users are prompted to authenticate themselves by capturing a live image of their face using a mobile device or webcam. The captured image is then processed by the face recognition system, which compares it against registered facial templates stored securely in the bank's database. If the face matches the authorized user, the transaction is approved; otherwise, it is denied.

Keywords: Convolutional Neural Networks, image recognition, Tensor Flow, Deep Learning, Teachable Machine.