Abstract

Almost every country in the world face the problem of counterfeit currency notes, but in India the problem is acute as the country is hit hard by this evil practice. Fake notes in India in denominations of Rs.100, 500 and 1000 are being flooded into the system. In order to deal with such type of problems, an automated recognition of currency notes in introduced by with the help of feature extraction, classification based in SVM, Neural Nets, and heuristic approach. This technique is also subjected with the computer vision where all processing with the image is done by machine. The machine is fitted with a CDD camera which will scan the image of the currency note considering the dimensions of the banknote and software will process the image segments with the help of SVM and character recognition methods. ANN is also introduced in this paper to train the data and classify the segments using its datasets. To implement this design we are dealing with MATLAB Tool.

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