A Digit Recognition System for Paper Currency Identification based on Virtual Machines


Authors: Ji Qian, Dongping Qian, Mengjie Zhang
Source: GZipped PostScript (54kb); Adobe PDF (154kb)


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 is examined and tested on 5000 banknotes with 4000 digits and achieves a single digit recognition rate of more than 99.60%, a serial number recognition rate of 99.50% , and a recognition time of 157ms. The results show that this approach is effective and efficient and can clearly meet the system requirements.

Keywords: Digit recognition, banknotes, image processing, computer vision

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