Abstract
In recent years, a lot of illegal fake notes have been created, and printed without any permission from the government. This leads to great loss for the government by using these fake notes. Currency plays a major role in the development of the society or nation. India has already been cursed with some major problems like black money and corruption. This proposed system describes the method for validating currency notes. The given currency will be validated using image processing methods. The currency image is showed in the dissimilarity space. We use many kinds of pixel levels for detection of the fake currency. In previous days only some places used to print this fake currency, but nowadays anyone can print the fake note using a simple laser printer with accuracy. At present, fake Currency recognition is being a vigorous topic for researchers in many potential applications. Pattern recognition and neural network pattern recognition are some of the techniques for detecting fake note. Here for detecting the fake note we use MATLAB. It is used for recognizing fake currency.
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Nagaraj, P., Muneeswaran, V., Muthamil Sudar, K., Hammed, S., Lokesh, D.L., Samara Simha Reddy, V. (2022). An Exemplary Template Matching Techniques for Counterfeit Currency Detection. In: Chen, J.IZ., Tavares, J.M.R.S., Iliyasu, A.M., Du, KL. (eds) Second International Conference on Image Processing and Capsule Networks. ICIPCN 2021. Lecture Notes in Networks and Systems, vol 300. Springer, Cham. https://doi.org/10.1007/978-3-030-84760-9_32
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