Carlo Scagliola

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The adjustment of the metric (features weighting) and the optimisation of the position of prototypes in the feature space are two of most important problems in minimum distance classifiers. This paper presents a new method to deal with these two problems based on the maximisation of a fuzzy recognition rate functional. The functional is a result of an easy(More)
This paper describes the recognition of container code characters in the project Mocont-II, where container images are taken in largely varying light situations. The recognition system has to deal with gray-level characters showing a wide variability of brightness and contrast, varying inclination, segmentation uncertainties, damaged characters and the(More)