Research and Implementation of Smart Banknote Counter Self-Learning System

Ji Qin Feng; Xian Quan Wang; Li Na Lou

doi:10.4028/www.scientific.net/AMR.108-111.718

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 108-111Research and Implementation of Smart Banknote...

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.

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Periodical:

Advanced Materials Research (Volumes 108-111)

Pages:

718-723

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.108-111.718

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Online since:

May 2010

Authors:

Ji Qin Feng, Xian Quan Wang, Li Na Lou

Keywords:

Self-Learning, Smart Banknote Counter, Template Data Library

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References

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