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Detecting improved quality counterfeit media items

A technology of media and media objects, which is applied in the directions of instruments, calculations, character and pattern recognition, etc., and can solve problems such as cost and inconvenience for consumers

Active Publication Date: 2009-02-11
NCR CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this is expensive as human verification is required instead and is inconvenient for consumers
Significant time and money would also be required to upgrade automated currency verification systems to handle higher quality counterfeit notes

Method used

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  • Detecting improved quality counterfeit media items
  • Detecting improved quality counterfeit media items
  • Detecting improved quality counterfeit media items

Examples

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Embodiment Construction

[0029] Embodiments of the present invention are described below as examples only. These examples represent the best mode of putting the invention into practice that is presently known to applicants, and are not the only ways in which the invention can be carried out. Although this example is described and illustrated herein as being implemented in a banknote verification system, the described system is provided as an example, not a limitation. Those skilled in the art will appreciate that this example is suitable for application in many different types of media verification systems including, but not limited to, passport verification systems, check verification systems, bond verification systems, and stock verification systems.

[0030] The term "single-class classifier" is used to denote a classifier formed or constructed using information about samples from only a single class, but which is used to assign emerging samples to that single class or not to that single class kin...

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PUM

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Abstract

A method of creating a classifier for media validation is described. Information from all of a set of training images from genuine media items is used to form a segmentation map which is then used to segment each of the training set images. Features are extracted from the segments and used to form a classifier which is preferably a one-class statistical classifier. Classifiers can be quickly and simply formed, for example when the media is a banknote for different currencies and denominations in this way and without the need for examples of counterfeit banknotes. A media validator using such a classifier is described as well as a method of validating a banknote using such a classifier. In a preferred embodiment a plurality of segmentation maps are formed, having different numbers of segments. If higher quality counterfeit media items come into the population of media items, the media validator is able to react immediately by switching to using a segmentation map having a higher number of segments without the need for re-training.

Description

[0001] Cross References to Related Applications [0002] This application is a continuation-in-part of U.S. Patent Application Serial No. 11 / 366,147, filed March 2, 2006, which is a continuation-in-part of U.S. Patent Application Serial No. 11 / 305,537, filed December 16, 2005 . Application Nos. 11 / 366,147, filed March 2, 2006 and 11 / 305,537, filed December 16, 2005 are hereby incorporated by reference. technical field [0003] This specification relates to a method and apparatus for media authentication. In particular it relates to such methods and apparatus capable of functioning on counterfeit media of improved quality (eg, passports, cheques, banknotes, bonds, stocks) or other such media. Background technique [0004] There is a growing need to automatically verify and authenticate banknotes of different denominations and denominations in a simple, reliable and cost-effective manner. For example, this is required in self-service devices that accept banknotes (eg, self...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G07D7/20G06K9/00
Inventor 何超佳里·罗斯
Owner NCR CORP