Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{165189,
        author = {Challa Bhavya Sri and S Bhavani and S Bhavani and M Bhumika  and K Brahmasree},
        title = {Fake Currency Detection Using Deep Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {11},
        number = {1},
        pages = {700-703},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=165189},
        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 experimental results demonstrate the effectiveness of the proposed method in detecting fake currency with high accuracy, which can be used to prevent economic losses and protect consumers from fraud. The proposed method has the potential to be implemented in automated systems to detect counterfeit banknotes in real- time.},
        keywords = {},
        month = {},
        }