Currency Recognition System

This project presents a Currency Recognition System designed to accurately identify and authenticate various denominations of currency notes. Utilizing advanced image processing and machine learning techniques, the system detects unique features of genuine notes to differentiate them from counterfeits. A diverse dataset of currency images, including genuine and counterfeit notes, is used for training and evaluation. Key features such as color, texture, and security elements are extracted and analyzed. The system demonstrates high accuracy in tests, offering a reliable solution for counterfeit detection. Future improvements will focus on enhancing robustness and real-time processing.