Deep Learning - based Banknote Classification: Harnessing Artificial Neural Networks

Banknote authentication is crucial for maintaining financial transactions’ integrity and security. Conventional techniques, including rule-based systems or human inspection, may be weak.. Image processing is the primary approach for banknote identification, and deep learning, with neural networks being the most important aspect, in big data processing. The study examined banknotes from several nations and suggested a deep learning-based system to identify fake notes using Deep learning model, therefore reducing the financial harm that fake currency may bring to individuals. The study evaluates deep learning algorithm’sability to distinguish between authentic and fraudulent notes and groups them according to fidelity. The efficiency number is based on how well the system recognizes phony notes. Since the algorithm’s accuracy is probably the best, money authentication is a useful tool that help banks to identify fake notes.