Semi-Automatic Segmentation Of On-Line Handwriting

Loading...
Thumbnail Image
Date
2019
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
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.
Description
Citation
Proceedings of the 25st Conference STUDENT EEICT 2019. s. 54-57. ISBN 978-80-214-5735-5
http://www.feec.vutbr.cz/EEICT/
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
cs
Study field
Comittee
Date of acceptance
Defence
Result of defence
Document licence
© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
DOI
Citace PRO