Fingerprint and Iris Biometric Controlled Smart Banking Machine Embedded with GSM Technology for OTP

Fingerprint and Iris Biometric Controlled Smart Banking Machine Embedded with GSM Technology for OTP

V.N. Sireesha,

Assistant Professor, Department of ECE, Satya Institute of Technologyand Management, Vizianagaram, Andhra Pradesh, India. Email: -sireesha.vn@sitam.co.in

Attada Manasa

, B Tech Student, Department of ECE, Satya Institute of Technology and Management, Vizianagaram, Andhra Pradesh, India. Email: -attadamanasa29@gmail.com

Muddada Anusha,

B Tech Student, Department of ECE, Satya Institute of Technology and Management, Vizianagaram, Andhra Pradesh, India. Email: -muddadaanusha27@gmail.com

Landa Usha Ramya

, B Tech Student, Department of ECE, Satya Institute of Technology and Management, Vizianagaram, Andhra Pradesh, India. Email: -       Ushalanda428@gmail.com

Pinninti Janardhan Rao,

B Tech Student, Department of ECE, Satya Institute of Technology and Management, Vizianagaram, Andhra Pradesh, India. Email: -pinnintijana871@gmail.com

Arikathota Dhatri,

B Tech Student, Department of ECE, Satya Institute of Technology and Management, Vizianagaram, Andhra Pradesh, India. Email: - dhatriarikathota@gmail.com

Jagarana Satyanarayana,

B Tech Student, Department of ECE, Satya Institute of Technology and Management, Vizianagaram, Andhra Pradesh, India. Email: -jagaranasatya@gmail.com

ABSTRACT
This project aims to develop a highly secure and user-friendly smart banking machine that integrates fingerprint and iris biometric authentication with GSM technology for OTP (One-Time Password) verification. The system eliminates the need for traditional ATM cards and PINs, replacing them with advanced biometric authentication techniques to enhance security and convenience. The GSM module ensures secure OTP delivery to registered mobile numbers, providing an additional security layer for transactions.

Biometrics technology is rapidly progressing and offers attractive opportunities and inventions. In recent years, biometric identification has grown in popularity as a way of private identification in ATM authentication systems. Biometric authentication system is reliable, economical, save time, and has more advantage compare to other like visa cards.

The user suspects their password may be stolen or attack by thief then the user changes their password when they expect the password attack by the thief. In order to solve this kind of problem we design biometric authentication system, because biometrics is the science of using human measurements to identify people.

Biometric is selective because it has unique characteristics that is no one shares and remain the same over time. In this project, a microcontroller-based prototype of ATM cashbox access system using fingerprint sensor and Iris recognition module is implemented. An Arduino microcontroller developed by Microchip Technology is used in the system. This research, which can increase the speed of money withdrawal almost 3 times fast; could have positive impact on the customer’s satisfaction.

Digital security has acquired special importance thanks to vast amount of digital information and therefore the high value that's frequently been attached thereto. Normally we use passwords for security. Effective user authentication applications are crucial to guard information security. In response to the growing number of threats to data security, a good sort of authentication mechanisms is developed. Here we introduce a new security system which uses finger iris recognition system for authentication in ATM networks.

Keywords: Biometric security, biometric technology, ATM (Automated Teller Machine), Red-tacton, Point of Sale (POS).