Carlo Scagliola

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The paper addresses the problem of removing unwanted variations in cursive handwriting by estimating and compensating reference lines and slant angle. To this purpose, the paper introduces the mathematical framework of Generalized Projections (GP), an extension of the well known Projection Profiles (PP). This framework proved to be quite effective and(More)
The comparison of total body water obtained by Watson formula with results of bioelectrical impedance (BIA) shows a fair approximation (Delta% = 1.0 +/- 8.45). However, when compared to other literature formulas the BIA values are higher (8 divided by 23%), and this discrepancy needs further analysis. Urea kinetics was computed using as input data for(More)
WORKSHOP OBJECTIVES The main goal of the workshop is to assess the state of the art of the theory and the applications of multiple classifier systems and related approaches. Contributions from all the research communities working in the field are welcome in order to compare the different approaches and to define the common research priorities. Special(More)
Segmentation-by-recognition is a successful approach for recognizing cursively handwritten words. Its main strength is that the interdependence of strokes forming a letter is correctly taken into account by the use of a character recognizer, that evaluates an aggregate of strokes (character hypothesis) as a whole. However, a straightforward implementation(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)