Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/5614
Title: Handwritten Shorthand and its Future Potential for Fast Mobile Text Entry
Contributor(s): Leedham, Graham  (author); Ma, Yang (author); Blumenstein, Michael (author)
Publication Date: 2009
DOI: 10.1142/S0218001409007405
Handle Link: https://hdl.handle.net/1959.11/5614
Abstract: Handwritten shorthand systems were devised to enable writers to record information on paper at fast speeds, ideally at the speed of speech. While they have been in existence for many years it is only since the 17th Century that widespread usage appeared. Several shorthand systems flourished in the first half of the 20th century until the introduction and widespread use of electronic recording and dictation machines in the 1970's. Since then, shorthand usage has been in rapid decline, but has not yet become a lost skill. Pitman shorthand has been shown to possess unique advantages as a means of fast text entry which is particularly applicable to hand-held devices in mobile environments. This paper presents progress and critical research issues for a Pitman/Renqun Shorthand Online Recognition System. Recognition and transcription experiments are reported which indicate that a correct recognition and transcription rate of around 90% is currently possible.
Publication Type: Journal Article
Source of Publication: International Journal of Pattern Recognition and Artificial Intelligence, 23(5), p. 1031-1051
Publisher: World Scientific Publishing Company
Place of Publication: Singapore
ISSN: 1793-6381
0218-0014
Fields of Research (FoR) 2008: 080106 Image Processing
080199 Artificial Intelligence and Image Processing not elsewhere classified
080104 Computer Vision
Socio-Economic Objective (SEO) 2008: 890299 Computer Software and Services not elsewhere classified
810199 Defence not elsewhere classified
810107 National Security
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Science and Technology

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