Currency validator
AssigneeMars, Incorporated
InventorsGaston Baudat, Fatiha Anouar
Life of this patent
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Abstract
A method of classifying an item of currency using a currency tester comprises sensing variable characteristics of a currency item and deriving a data vector (X) using values of the sensed characteristics, and transforming the data vector so that the variables represented by at least first and second sets of components (Y1, Y2) of the transformed vector are substantially independent, so that the mahalanobis distance of X is substantially equivalent to the sum of the mahalanobis distances of the components (Y1, Y2), and calculating a mahalanobis distance in at least two parts using said first and second sets of components.
Claims29
A method of classifying an item of currency using a currency tester, the method comprising sensing variable characteristics of a currency item and deriving a data vector (X) using values of the sensed characteristics, and transforming the data vector so that the variables represented by at least first and second sets of components (Y1, Y2) of the transformed vector are substantially independent, so that the mahalanobis distance of X is substantially equivalent to the sum of the mahalanobis distances of the components (Y1, Y2), and calculating a mahalanobis distance in at least two parts using said first and second sets of components.
A method of classifying an item of currency using a currency tester, the method comprising performing a mahalanobis distance calculation using data derived from sensing characteristics of the currency item, wherein the mahalanobis distance calculation is performed in at least two parts which are substantially independent so that for a data vector X having components Y1 and Y2, X=(Y1, Y2), then the mahalanobis distance of X is substantially equal to the mahalanobis distance of Y1 plus the mahalanobis distance of Y2.
A method of classifying an item of currency using a currency tester, the method comprising performing a mahalanobis distance calculation using data derived from sensing characteristics of the currency item, wherein the mahalanobis distance calculation is performed in at least two parts, wherein at least one part is weighted by a weighting value.
Dependencies are inferred from the claim text.