A Deep Learning Approach for Enhanced Counterfeit Currency Detection and Classification
M R Pruthvi, Y. M. Saumya, B. Jaishma Kumari, M. Prajna, K. V. Jithya · Advances in engineering research/Advances in Engineering Research · 2025
Counterfeit currency poses a significant threat to financial systems around the world.In this study, an innovative approach to counterfeit currency detection and classification is proposed leveraging the power of deep learning.The proposed system integrates deep learning models, each trained to identify intricate patterns and features inherent in genuine and counterfeit currency notes.These networks are trained on a comprehensive dataset comprising authentic and counterfeit currency images, allowing the system to learn and distinguish subtle visuals that are challenging for traditional methods.The deep learning approach further refines the detection process, providing a robust and adaptable solution capable of handling various counterfeiting techniques.The pro-posed deep learning approach represents a significant advancement in counterfeit currency detection, combining the strengths of deep neural networks.