| 摘要 |
Coin validation can be advantageously improved by transforming measured data values associated with coin characteristics from a first geometric space to a second geometric space, in which the transformed values in the second geometric space are preferably better adapted for discrimination between different coin denominations than the corresponding values in the first geometric space. Preferably, principal component analysis is used to identify principal components that can be used as dimensions of the second geometric space, so that measured data values in the second geometric space are less correlated than in the first geometric space.
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