Detecting improved quality counterfeit media

Details Detecting improved quality counterfeit media Detecting improved quality counterfeit media

2006-12-15

2011-12-27

Lu, Tom Y (Department: 2624)

Image analysis

Applications

Reading paper currency

C382S159000, C382S209000, C382S224000, C382S190000, C902S007000, C356S071000

Reexamination Certificate

active

08086017

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.

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