A novel approach has been presented to address the challenges in the banks, accountancy firms, monetary organizations related to the threats and inefficiencies related to the detection of fraud. In banking, fraud discovery and deterrence mention to a set of events and technical gears that support in noticing and stopping deceitful activity. Fraud detection refers to spotting plausible scam intimidations using approaches to track transactions, and account access requests, and open new account openings. Fraud prevention and detection in banking relies on a combination of technical and logical methods. Logical procedures that are often adopted comprises of arithmetical data analysis methods such as parameter calculations, data matching, lapse study, probability distribution and modelling. The technology of dividing images into pixels and comparing them using the neural networks is used here to differentiate between the fake credit card and a genuine credit card. The detection system has its applications in wide areas including banks, accountancy firms, monetary organizations, etc.