Open AccessA Research Paper on Biometric based ATM System
Author(s) -
Subhrajit Roy
Publication year - 2022
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2022.41583
Subject(s) - biometrics , password , authentication (law) , computer security , vulnerability (computing) , computer science , identification (biology) , face (sociological concept) , facial recognition system , artificial intelligence , pattern recognition (psychology) , social science , botany , sociology , biology
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.