FAKE CURRENCY DETECTION USING DEEP LEARNING

FAKE CURRENCY DETECTION USING DEEP LEARNING

Avinash Parthan, Ayush Rathore, B. Pranitha, B. Sai Varun, Dr. S. Satyanarayana

CSE AIML, MALLA REDDY UNIVERSITY, HYDERABAD

Abstract: Proposed a novel approach for identifying counterfeit banknotes using deep learning techniques. The proposed method involves pre-processing the images of 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 from fake ones.

The proposed method has the potential to be implemented in automated systems to detect 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 yields 70-80% accuracy.

Keywords: Fake currency detection, Counterfeit currency detection, Currency forgery detection, Deep learning, Convolutional neural network (CNN), Image processing.