Abstract: People now-a-days utilize Automated Teller Machines (ATMs) in large numbers. People rely on ATMs to meet their daily demands in a convenient manner. As it is a crucial aspect, security is a must. ATMs are automated teller machines that allow clients to deposit or withdraw money from banks. It has been discovered that the frequency of crimes involving ATMs has increased, necessitating the need for improved ATM security. RFID technology, fingerprint, facial recognition, iris scan, OTP, reference number, random keypad, and other technologies are all utilized to ensure the security of ATM machines. In a standard ATM system, card and PIN numbers are required for authentication, which causes security issues like lost cards, stolen pin numbers, card cloning, shoulder surfing, fake keyboard, skimming, etc. This paper mainly focuses on the implementation of Anti spoofing based facial recognition for ATM system using liveness detection.
Keywords: ATM, Liveness Detection, Facial Recognition, Landmark Detection, OTP.
| DOI: 10.17148/IJARCCE.2022.115124