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A Digit Recognition System for Paper Currency Identification based on Virtual Machines
| Content Provider | Semantic Scholar |
|---|---|
| Author | Qian, Ji Jun Qian, Dongping Zhang, Mengjie |
| Copyright Year | 2006 |
| Abstract | 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. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.mcs.vuw.ac.nz/comp/Publications/archive/CS-TR-06/CS-TR-06-11.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
