Abstract
The purpose of this article is to describe a recognition system, used in the matching of patterns that are distorted by various kinds of noise. The proposed technique is more general than the one described in [12], but also makes fundamental use of the concept of semi-pseudometrics. It will be shown that in some cases, the chance of correctly recognizing an image increases when using these in a distance classifier.
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