Original title: Semi-Automatic Segmentation Of On-Line Handwriting
Authors: Gavenčiak, Michal
Document type: Papers
Language: cze
Publisher: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract: This paper deals with the automation of digital trace data segmentation. The data are obtained from a digitizing tablet and are then subjected to handwriting analysis, providing quantified information about a person’s handwriting, which might help in the diagnosis of handwriting difficulties. In order to successfully analyze the data, they must be segmented by individual handwriting exercise. Implementation of a python-based program with a GUI is described along with its basic functionality.
Keywords: graphical user interface; Handwriting difficulties; online handwriting; python
Host item entry: Proceedings of the 25st Conference STUDENT EEICT 2019, ISBN 978-80-214-5735-5

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/186616

Permalink: http://www.nusl.cz/ntk/nusl-414518


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Universities and colleges > Public universities > Brno University of Technology
Conference materials > Papers