Abstract
Abstract: Biometrics-based authentication is a potential alternative to password-based authentication. Of all biometric methods, face-based identification is one of the most convenient one. In ATM systems, facial images are captured using a high resolution camera. Bank security measures can play an important role in preventing customer attacks. These measures are of paramount importance in addressing the weaknesses of civil lawsuits. Banks must meet the criteria to provide their customers with a secure banking environment. This paper focuses on the increased vulnerability and criminal activity of automated teller machines (ATMs), not the bank themselves. Both customers and bankers. Keywords: Automated Teller Machine (ATM), Camera, Verification, Crime, E-Banking.
Publisher
International Journal for Research in Applied Science and Engineering Technology (IJRASET)
Subject
General Earth and Planetary Sciences,General Environmental Science
Cited by
2 articles.
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1. Deep Neural Networks Based Security Solution for ATM Transactions;Communications in Computer and Information Science;2024
2. Touchless Secure QR-Based ATM System;Proceedings of the 8th International Conference on Advanced Intelligent Systems and Informatics 2022;2022-11-18