loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Third International Conference on Information Technology and Applications (ICITA'05) Volume 1
On-Line Recognition of Pitman Shorthand for Fast Mobile Text Entry
Sydney, Australia
July 04-July 07
ISBN: 0-7695-2316-1
ASCII Text
x 
 
Ma Yang, Graham Leedham, Colin Higgins, Swe Myo Htwe, "On-Line Recognition of Pitman Shorthand for Fast Mobile Text Entry," Information Technology and Applications, International Conference on, vol. 1, pp. 686-691, Third International Conference on Information Technology and Applications (ICITA'05) Volume 1, 2005.
 
 
BibTex
x
 
@article{ 10.1109/ICITA.2005.196,
author = {Ma Yang and Graham Leedham and Colin Higgins and Swe Myo Htwe},
title = {On-Line Recognition of Pitman Shorthand for Fast Mobile Text Entry},
journal ={Information Technology and Applications, International Conference on},
volume = {1},
year = {2005},
isbn = {0-7695-2316-1},
pages = {686-691},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICITA.2005.196},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Information Technology and Applications, International Conference on
TI - On-Line Recognition of Pitman Shorthand for Fast Mobile Text Entry
SN - 0-7695-2316-1
SP686
EP691
A1 - Ma Yang,
A1 - Graham Leedham,
A1 - Colin Higgins,
A1 - Swe Myo Htwe,
PY - 2005
KW - null
VL - 1
JA - Information Technology and Applications, International Conference on
ER -
 
Ma Yang, Nanyang Technological University
Graham Leedham, Nanyang Technological University
Colin Higgins, University of Nottingham
Swe Myo Htwe, University of Nottingham
A novel solution to on-line Pitman shorthand recognition for high speed text input (> 120wpn) to computer and mobile devices such as PDA's is proposed in this paper. Approaches to the recognition of three major components of Pitman shorthand-shortforms consonant outlines, vowel and diphthong symbols and are described in detail. Evaluation shows that the proposed approach achieved 84.4% recognition accuracy.
Citation:
Ma Yang, Graham Leedham, Colin Higgins, Swe Myo Htwe, "On-Line Recognition of Pitman Shorthand for Fast Mobile Text Entry," icita, vol. 1, pp.686-691, Third International Conference on Information Technology and Applications (ICITA'05) Volume 1, 2005
Usage of this product signifies your acceptance of the Terms of Use.