Identification of Counterfeit currency and denomination using Raspberry pi

Abstract

Advancement in technology leads towards many automated systems which are capable of performing tasks without interference of humans. Money deposit machines, automatic ticket machines are one of such automated systems. In such systems it is necessary to identify the counterfeit and denomination of currency automatically. But available automated currency detection system uses computers and other processors which are bulky in size and cost of the overall system is also more. So it is necessary to develop a system which is capable of identifying the denomination of currency for small scale applications. In this paper, the proposed model will automatically identify the denomination and counterfeit of currency using raspberry pi. Identification of counterfeit and denomination is achieved with the help of basic image processing algorithms such as HSV conversion, template matching, aspect ratio identification, dominant colour and feature extraction. I. INTRODUCTION In the year of 2011 RBI conducted a survey for counterfeit currency and results of survey shows that there are nearly 69382 million counterfeit notes are in circulation. Counterfeit currency directly affects the financial system of country. To maintain the social harmony and for protection of economic prosperity it is necessary to identify and destroy the fake currency. Normally human brain is capable of identifying the fake currency on the basis of check points printed on the currency. But same task is much more difficult for machine which will identify the originality of currency. At present days, different types of systems are available which identify the fake currency but cost of such systems is much higher. So it is necessary to develop a system which can automatically recognize the denomination of currency and check whether the currency is real or fake. Such type of system is useful for automatic vending machine, automatic mobile currency recharge, and in automatic ticket counter.