Indian currency recognition based on texture analysis

The bank notes are the most popular means of the value circulation. The present day financial self-service has made the currency recognition a key activity of the automated banking process. The process of the currency recognition by some extrinsic feature becomes error prone due the pollution and depreciation suffered by the currency during the transactions. Therefore we propose an Indian currency recognition system based on the intrinsic feature of the currency. In the present work we extracted texture as intrinsic features for currency recognition and evaluated the class discriminating capability of these features for Indian currency.