Survey on Paper Currency Recognition System

Abstract Paper currency recognition is an important active research area in pattern recognition. The recognition system mainly consists of few basic steps like image acquisition, its preprocessing, feature extraction and finally recognition of the currency. Normally scanner is used in order to acquire the image. Then these images are processed by using various preprocessing techniques and then different features of the images are extracted, by using neural network classifies the images. Applications on currency recognition includes foreign exchange, automatic selling of things and in banks. Recognition ability depends on the currency note characteristics of the particular country and extracted features.