This paper examines policy regarding the biometric approaches towards automated teller machine (ATM) for trustworthy and secured transactions. Fingerprint devices for ATM’s are mentioned and enforced during this project. Previously the user should carry his Debit card or Credit card whenever he goes to the ATM for his transactions. This is often a time consuming method because the person needs to insert his card in the card reader slot in a correct way and make sure he entered his pin number correctly, sometimes it may block our card if we entered wrong pin number for many times. In our proposed method we are replacing the card reader with Biometric Fingerprint sensor. The project is mainly divided into two cases i.e Authentication through Fingerprint, manual login. Here in this project multi spectral imaging (MSI) sensor is used to reduce the vulnerability of fingerprint sensors to spoof attacks. This sensor has been able to distinguish between a live finger and other soft materials. This project provides a break through against current technology in ATM and able to provide strong protection for upcoming future ATM’s.
CITATION STYLE
Telagam, N., Panda, S., Kandasamy, N., & Nanjundan, M. (2019). Smart sensor network based atm management system using lab view. International Journal of Engineering and Advanced Technology, 8(5), 2434–2444.
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