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.
CITATION STYLE
Wróbel, M., Starczewski, J. T., & Napoli, C. (2017). Handwriting recognition with extraction of letter fragments. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10246 LNAI, pp. 183–192). Springer Verlag. https://doi.org/10.1007/978-3-319-59060-8_18
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