ATM was most popular for the bank customer for money transactions due to technology improvements in financial infrastructure.A new generation of ATM card-less transactions based on face and fingerprint recognition system is replacing ATM cards to enhance security.A high-quality image has an essential role in the recognition process using machine learning which is based on a convolutional neural network (CNN).Face and Fingerprint image is used for authentication purpose.Firstly, a particular person's face and Fingerprint image is compared with the database images.Then the comparing output result is matched, the Money Transaction Process initiated.If an unauthorized person is identified, the payment process is not started.It will fail.Thus, a bank model which provides security by using Facial and fingerprint verification software by adding up Fingerprint and face recognition systems can reduce forced transactions to a great extent and offer complex safe authentication.
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