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: IEEE: Institute of Electrical and Electronics Engineers
Place of Publication: United States of America
Field of Research (FOR): 080106 Image Processing
080109 Pattern Recognition and Data Mining
Socio-Economic Objective (SEO): 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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