Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/9761
Title: | An On-line Recognition System for Handwritten Pitman Shorthand | Contributor(s): | Yang, Ma (author); Leedham, Graham (author); Higgins, Colin (author); Htwe, Swe Myo (author) | Publication Date: | 2005 | DOI: | 10.1109/TENCON.2005.301199 | Handle Link: | https://hdl.handle.net/1959.11/9761 | Abstract: | This paper investigates the potential of Pitman shorthand as a mean of fast real-time handwritten text entry (>120 wpm) on hand-held devices. An online system which combines input, recognition and transcription of Pitman shorthand is proposed. The main recognition algorithms taken in the demonstration system are discussed and evaluated. Based on the implementation experience of the system, future research directions are discussed. | Publication Type: | Conference Publication | Conference Details: | TENCON 2005: IEEE Region 10 Conference, Melbourne, Australia, 21st - 24th November, 2005 | Source of Publication: | Proceedings of the IEEE Region 10 Conference (TENCON'05), p. 2104-2019 | Publisher: | Institute of Electrical and Electronics Engineers (IEEE) | Place of Publication: | Los Alamitos, United States of America | Fields of Research (FoR) 2008: | 080106 Image Processing 080109 Pattern Recognition and Data Mining |
Socio-Economic Objective (SEO) 2008: | 890299 Computer Software and Services not elsewhere classified 810107 National Security |
Peer Reviewed: | Yes | HERDC Category Description: | E1 Refereed Scholarly Conference Publication |
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Appears in Collections: | Conference Publication School of Science and Technology |
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