Abstract: This research paper proposes the development of a cardless ATM system that aims to provide a more secure and convenient banking experience for users. The system includes two types of accounts, individual and joint, and requires login through mobile OTP, face recognition, and fingerprint authentication. The face and fingerprint recognition technology has been developed using Convolutional Neural Network (CNN) algorithms, ensuring accurate and reliable authentication.Upon successful login, users can perform various banking operations such as withdrawing and depositing money. The system also provides notification alerts to joint account holders upon the completion of any transactions.The proposed cardless ATM system aims to reduce the risk of fraud and enhance user convenience through the implementation of advanced authentication and transaction management features.
Keywords: Cardless ATM, CNN, Mobile OTP, Face Recognition, Fingerprint, Fraud detection.
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DOI:
10.17148/IJARCCE.2023.125180
