CARDLESS ATM TRANSACTION

The increasing demand for secure and convenient banking services has exposed the limitations of traditional ATM systems that depend on physical cards and PIN authentication. Such systems are vulnerable to fraud, card skimming, theft, and unauthorized access. To address these challenges, this paper presents a Cardless ATM Transaction System that leverages biometric authentication as a primary means of identity verification. The framework integrates face recognition and fingerprint verification with OTP-based mobile authentication, ensuring multi-factor security. Developed using Python, Flask, OpenCV, and MySQL, the system processes biometric inputs in real time, matches them against encrypted user templates, and authorizes transactions without requiring a physical ATM card. A web-based interface enables seamless interaction, while backend encryption safeguards sensitive data. Experimental evaluation demonstrates that the system achieves high recognition accuracy, reduced transaction time, and improved resilience against fraud. This approach enhances transaction security, reduces dependency on physical cards, and aligns with the growing shift towards digital banking and cashless economies.