NDLI: A machine vision based automatic system for real time recognition and sorting of Bangladeshi bank notes.

Content Provider	IEEE Xplore Digital Library
Author	Sajal, R.F. Kamruzzaman, M. Jewel, F.A.
Copyright Year	2008
Description	Author affiliation: Visual Magic Corp. Ltd., Dhaka (Sajal, R.F.; Kamruzzaman, M.; Jewel, F.A.)
Abstract	This paper presents an efficient machine vision algorithm for real time image analysis and recognition of different features of Bangladeshi bank notes by using an automatic banknotes sorting system. The features recognized by this algorithm include denominations, orientations and sides of the bank notes. In a mechatronic system the Bangladeshi bank notes are fed together. The system draws the notes one by one and gets their images using a CCD sensor from a specific side. Then the system determines the denomination, orientation and side of the bank notes by analyzing the images grabbed by the CCD sensor. The average recognition speed is 8 to 9 bank notes per second and the rate of success is 100% for the banknotes having no extremely fatal damage.
Starting Page	533
Ending Page	535
File Size	1139872
Page Count	3
File Format	PDF
ISBN	9781424421350
DOI	10.1109/ICCITECHN.2008.4803060
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-24
Publisher Place	Bangladesh
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Real time systems Charge coupled devices Image recognition Image processing Sensor systems Simplified Bi-directional associative memory Sorting Sensor arrays Image analysis Machine vision Neural networks Signal processing algorithms Banknotes sorting Charge-coupled image sensors
Content Type	Text
Resource Type	Article

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