Research and Implementation of Smart Banknote Counter Self-Learning System
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.
J. Q. Feng et al., "Research and Implementation of Smart Banknote Counter Self-Learning System", Advanced Materials Research, Vols. 108-111, pp. 718-723, 2010