Currency recognition system for visually impaired: Egyptian banknote as a study case

Abstract

One of the most important problems facing visual impaired people is money recognition especially for paper currency. In this paper we present a simple system currency recognition system applied on Egyptian banknote. Our proposed system is based on simple image processing utilities that insure performing the process as fast and robust as possible. The basic techniques utilized in our proposed system include image foreground segmentation, histogram enhancement, region of interest (ROI) extraction and finally template matching based on the cross-correlation between the captured image and our data set. The experimental results demonstrate that the proposed method can recognize Egyptian paper money with high quality reaches 89% and short time.