APPLICATION OF HOUGH TRANSFORM ON COUNTERFEIT IDENTIFICATION OF ETHIOPIAN PAPER CURRENCY DENOMINATION

Abstract

Counterfeiting is one of the critical problems affecting cash transactions. Counterfeit banknotes are becoming serious threats hampering the smooth transactions in Ethiopia. Hence, the availability of such counterfeit notes in the market needs the automation of money identification system. The importance of automatic methods for currency recognition has been increasing in the time being because of circulation of fake notes increased in today’s economy. This recognition system contains basic image processing techniques such as image acquisition, image preprocesses, feature extraction and identification using Hough Transform. Counterfeit currency identification was carried out on wide stripe and check for blind security features, which involved employing the appropriate image preprocessing algorithms to enhance the input image applying HT technique to extract security features and evaluating the performance of the Hough Transform algorithm applying on both genuine and counterfeit Ethiopian banknotes. Training, validation and testing was carried on 120 genuine and counterfeit currency notes. The results showed that using the proposed algorithm the identification rate for new, old and very old notes is 100%, 84% and 80% respectively.