FINGERPRINT BASED ATM SYSTEM

Abstract

Automated Teller Machines (ATMs) are widely used for banking transactions, providing customers with convenient access to financial services. Traditional ATM systems primarily rely on card-based authentication and Personal Identification Numbers (PINs), which are vulnerable to theft, card cloning, unauthorized access, and fraud. Biometric authentication offers a more secure and reliable alternative for user verification. This paper presents a Fingerprint-Based ATM System that utilizes fingerprint recognition technology to enhance the security and efficiency of ATM transactions. The proposed framework captures a user's fingerprint, performs image preprocessing and feature extraction, and compares the extracted biometric features with stored fingerprint templates for authentication. Advanced image processing and pattern matching techniques are employed to ensure accurate identification and minimize false acceptance and rejection rates. Upon successful authentication, users are granted access to banking services such as cash withdrawal, balance inquiry, and fund transfer. Experimental analysis demonstrates that the proposed system improves security, reduces fraud risks, and enhances user convenience compared to traditional PIN-based ATM systems. The developed framework provides a secure, user-friendly, and efficient solution for modern banking applications.