| 摘要 |
A method of creating a classifier for banknote validation is described. Information from all of a set of training images from genuine banknotes is used to form a segmentation template 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 different currencies and denominations in this way and without the need for examples of counterfeit banknotes. A banknote validator using such a classifier is described as well as a method of validating a banknote using such a classifier. In a preferred embodiment the banknote validator is incorporated in a self-service apparatus such as an automated teller machine.
|
