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@article{171729,
        author = {Nidhi kushwaha, and Dr. Ashok verma, and Dr. Sharda patel},
        title = {Currency Recognition Using Image Processing Cross Correlation Technique},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {8},
        pages = {1061-1066},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=171729},
        abstract = {This paper currency recognition always depends on the currency note characteristics of a particular country and the extraction of different features directly affects the ability of currency recognition. The currency has great significance in today’s life and may be because the Indian currency recognition is a great area of interest. It is very complex to count different denomination notes in a bunch. This paper proposes an image processing technique for the identification of Indian currency. First we acquire the image using simple scanner or digital camera with a particular size. We use different methods for Indian currency identification like shape recognition, feature extraction and digit recognition. The characteristics extraction is performed on the given images of the currency and it is compared with the characteristics of the original currency. The image processing approach is discussed with MATLAB to detect the features of Indian currency. Image processing involves the changing of nature of an image in order to improve its quality of information for human interpretation. The result will be the identification of Indian currency.},
        keywords = {Indian currency recognition, shape recognition, feature extraction, Digit recognition},
        month = {January},
        }