Paper Title:
Research and Implementation of Smart Banknote Counter Self-Learning System
  Abstract

In the event of a new version of financial markets, realistic counterfeit money, and only rely on manufacturers to upgrade the software in order to re-identify the class counter counterfeit money, proposed to establish a banknote counter self-learning system. The article mainly describes the specific implementation method of banknote counter being on line self-learning ability, through establishing feature vector template database of banknotes, using the template matching algorithm to identify genuine and fake of banknotes. Experiments show that the smart banknote counter designed in the method has self-learning abilities for fake banknotes, can implement specific anti-counterfeiting, being greatly increase accuracy of identification falsity.

  Info
Periodical
Advanced Materials Research (Volumes 108-111)
Edited by
Yanwen Wu
Pages
718-723
DOI
10.4028/www.scientific.net/AMR.108-111.718
Citation
J. Q. Feng, X. Q. Wang, L. N. Lou, "Research and Implementation of Smart Banknote Counter Self-Learning System", Advanced Materials Research, Vols. 108-111, pp. 718-723, 2010
Online since
May 2010
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Price
$35.00
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