A Digit Recognition System for Paper Currency Identification Based on Virtual Instruments

This paper describes an approach to digit recognition for the serial numbers on the Chinese currency banknotes. The approach consists of a number of components including image preprocessing, image binarisation, morphological filtering, segmentation, feature extraction and digit recognition. The approach was examined and tested on 5000 banknotes with 4000 digits and the approach achieved s single digit recognition rate of more than 99.60%, a serial number recognition rate of 99.50%, and a recognition time of 157 ms. The results show that this approach is effective and efficient and can clearly meet the system requirements.