This paper is focused on intelligent character recognition of handwritten texts. We apply elements of the handwriting movement analysis in order to calculate possibilities of primitive character fragments called strokes. The key feature rely on the processing of uncertainty in the form of fuzzy quality values starting from the identification of strokes, through the construction of words and phrases, up to future application of language filters and possible contextual recognition.

Handwriting recognition with extraction of letter fragments / Wróbel, M.; Starczewski, J. T.; Napoli, C. - 10246:(2017), pp. 183-192. (Intervento presentato al convegno 16th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2017 tenutosi a Zakopane, Poland) [10.1007/978-3-319-59060-8_18].

Handwriting recognition with extraction of letter fragments

Napoli C
2017

Abstract

This paper is focused on intelligent character recognition of handwritten texts. We apply elements of the handwriting movement analysis in order to calculate possibilities of primitive character fragments called strokes. The key feature rely on the processing of uncertainty in the form of fuzzy quality values starting from the identification of strokes, through the construction of words and phrases, up to future application of language filters and possible contextual recognition.
2017
16th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2017
Handwriting recognition; Intelligent character recognition; Letter fragments; Strokes
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Handwriting recognition with extraction of letter fragments / Wróbel, M.; Starczewski, J. T.; Napoli, C. - 10246:(2017), pp. 183-192. (Intervento presentato al convegno 16th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2017 tenutosi a Zakopane, Poland) [10.1007/978-3-319-59060-8_18].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1328695
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