Fingerprint-Based Biometric Authentication System for Secure ATM Transactions

Abstract

Automated Teller Machines (ATMs) play a vital role in modern banking by providing customers with convenient access to financial services. However, conventional ATM authentication methods based on debit or credit cards and Personal Identification Numbers (PINs) remain susceptible to security threats such as card theft, PIN disclosure, card skimming, and unauthorized access. To address these challenges, this paper proposes a Fingerprint-Based Biometric Authentication System for Secure ATM Transactions, which replaces or complements traditional PIN-based authentication with fingerprint recognition technology. The proposed system employs a fingerprint sensor to capture the user's biometric data, extracts unique fingerprint features, and compares them with securely stored templates in the authentication database before granting access to banking services. A system architecture integrating a fingerprint scanner, authentication module, database server, and ATM transaction unit is presented to ensure secure and efficient user verification. The proposed approach enhances authentication accuracy, minimizes the risk of fraudulent transactions, and improves user convenience by eliminating the dependence on memorized PINs. Furthermore, the system is designed to provide rapid authentication while maintaining data confidentiality and operational reliability. The study demonstrates that biometric authentication offers a more robust and reliable security mechanism than conventional ATM authentication methods, making it a promising solution for next-generation banking systems. Future enhancements may incorporate multimodal biometrics and artificial intelligence-based spoof detection techniques to further strengthen ATM security.