Detecting Counterfeit Money: An In-depth Exploration of Deep Learning Techniques

Proposed a novel approach for identifying counterfeit banknotes usingdeep learning techniques. The proposed method involves pre-processing the imagesof banknotes and then using a Convolutional Neural Network (CNN) to extract features. The CNN is trained on a large dataset of genuine and counterfeit banknotes to learn the underlying patterns of genuine notes and distinguish them fromfake ones. The proposed method has the potential to beimplemented in automated systems todetect counterfeit banknotes in real-time. We have used Keras deep learning library to execute ResNet50 neural net which has 48 convolution layers along with 1 Max pool and 1 Average pool layer which yields70-80% accuracy.