Bangladeshi Currency Recognition and Counterfeit Detection Using Convolutional Neural Networks

Abstract

This thesis explores the recognition of Bangladeshi currency and the detection of counterfeit notes using deep learning. The primary objective of the study has been to discover if there is a reliable and time efficient solution where both genuine and fake notes of different denominations are identified. For this, I have also provided and compared different deep learning models like MobileNet V2, Inception V3, ResNet50, VGG16 and VGG19. Captioning Test Result Table results from test shows MobileNet V2 among the models are the highest. Its accuracy on the dataset was 96.11%. In terms of performance, the accuracy, recall and F 1 -score proved the robustness of such a prediction model. So, in summary, in this particular case we see the model does a good job in classifying real notes and fake notes.