Counterfeit Currency Recognition Using SVM With Note to Coin Exchanger

Every year RBI (Reserve bank of India) faces problem of Counterfeit Currency notes or destroyed notes. So Fake Currency Recognition in India got great importance. Fake notes in India are of Rs.100, 500 and 1000 are being flooded into the system. In order to deal with such problems, an automated recognition of currency notes is introduced with the help of feature extraction. By extracting sufficient monetary characteristics from the currency image, it is possible to find out counterfeit currency and it very is essential for accuracy and robustness of the automated system. Now a day"s requirement of coins is increasing at places like bus stand, railway station, malls and parks. The main motive behind the project is to design an efficient and simple machine which will fulfill the need of coins for transactions so that people will not face problem of coins. This project is to provide coins for genuine note, for this purpose we have developed mechanical coin dispensing model in which camera takes picture of note. After that it find"s out its value using image processing technique and then according to the value equivalent number of coins is dispensed.

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