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

Content Provider	IEEE Xplore Digital Library
Author	Ji Qian Dongping Qian Mengjie Zhang
Copyright Year	2006
Description	Author affiliation: Agric. Univ. of Hebei, Baoding (Ji Qian; Dongping Qian)
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 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.
Starting Page	228
Ending Page	233
File Size	3831709
Page Count	6
File Format	PDF
ISBN	1424405548
DOI	10.1109/ICINFA.2006.374117
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-12-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Printing image processing Digit recognition Image recognition Filtering Instruments Educational institutions Production facilities paper currency Computer science Handwriting recognition Neural networks System identification
Content Type	Text
Resource Type	Article

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