• K.K. Surya
• A. Balachandar

Automatic Teller Machines, or ATMs, are often utilised by individuals nowadays. The number of people using ATMs to withdraw cash is growing daily. The ATM is a crucial piece of equipment everywhere. The typical ATM that is currently in use is prone to crimes because of the rapid advancement of technology. Debit card fraud has received a total of 270,000 reports, making it the most widely reported identity theft in 2021. To improve the overall transaction experience, usefulness, and convenience at the ATM, a secure and effective ATM is required. Relating to machine vision is developing quickly in the modern world. Recent developments in Authentication via biometrics technologies, like finger printing, a retinal scan, and face identification, it significantly improved the risky ATM situation. The purpose of this project is to provide a computer vision technique that will address the security risk connected to accessing ATM machines. If this system were to be extensively adopted, both the faces and the accounts of the users would be protected. Face Verification, In order to remotely verify an unauthorised user's identity, a dedicated artificial intelligent agent will generate and send a Clickbait URL to the bank account holder. Although it is clear that human biometric characteristics cannot be duplicated. By allowing the legitimate account holder to to his accounts and only his accounts, our solution goes a long way towards addressing the issue with accounts security. This prevents the chance of theft and duplication of ATM cards leading to fraud. The experimental outcomes on real-time datasets show that the suggested strategy outperforms cutting-edge deep learning techniques in terms of learning effectiveness and matching precision. The proposed method achieves the maximum accuracy with 97.93% when using this real-time dataset.

Face Detection, Fraud Detection, Machine Learning, Biometric Authentication, Feature Extraction

"REAL TIME SECURE CLICKBAIT AND BIOMETRIC ATM USER AUTHENTICATION AND MULTIPLE BANK TRANSFER SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 9, page no.c818-c824, September-2023, Available :http://www.jetir.org/papers/JETIR2309295.pdf

"REAL TIME SECURE CLICKBAIT AND BIOMETRIC ATM USER AUTHENTICATION AND MULTIPLE BANK TRANSFER SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 9, page no. ppc818-c824, September-2023, Available at : http://www.jetir.org/papers/JETIR2309295.pdf