Semi-Automatic Segmentation Of On-Line Handwriting
Alternative metrics PlumXhttp://hdl.handle.net/11012/186616
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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.
Document typePeer reviewed
Document versionxmlui.vut.verze.Publishers's version
SourceProceedings of the 25st Conference STUDENT EEICT 2019. s. 54-57. ISBN 978-80-214-5735-5
- Student EEICT 2019