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@article{159590,
        author = {Darshan Ravindra and Akash C S and Chethan Surya P and Dhanush Gowda G S},
        title = {FAKE CURRENCY DETECTION USING IMAGE PROCESSING},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {12},
        pages = {259-263},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=159590},
        abstract = {Counterfeit currency notes are being mass produced at an accelerated rate due to the advancements in color printing technolog. A simple laser printer may now be used by anyone to print currency notes with the highest level of accuracy. A few years ago, printing could only be done in a print shop. As a result, the problem of phone notes being used in place of real ones has greatly escalated. India has unluckily been plagued by issues like corruption and black money. Also a significant issue is money note counterfeiting. This prompts the development of a technology that more quickly and effectively detects fraudulent money notes. The suggested strategy offers a method for examining Indian currency notes. The principles of image processing are used to verify money notes. In this article, several properties of Indian currency notes are extracted. The advantages of the suggested system include its simplicity and excellent performance speed. The outcome will indicate whether or not the money note is phone.},
        keywords = {CNN, Fake currency, Open CV, Deep Learning.},
        month = {},
        }