Fake Currency Detection Using Deep Learning Algorithm

Abstract: In this Paper, the Automatic Fake Currency Recognition System is designed to detect the counterfeit paper currency to check whether it is fake or original. The existing counterfeit problem due to demonetization effects the banking system and also in other fields. A new approach of Convolution Neural Network towards identification of fake currency notes through their images is examined in this approach which is comparatively better than previous image processing techniques. This method is based on Deep Learning, which has seen tremendous success in image classification tasks in recent times. This technique can help both people and machine in identifying a fake currency note in real time through an image of the same. The Accuracy in the proposed system is evaluated using accuracy.