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Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR'04)
Evaluation of Feature Sets in the Post Processing of Handwritten Pitman?s Shorthand
Kokubunji, Tokyo, Japan
October 26-October 29
ISBN: 0-7695-2187-8
ASCII Text
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Swe Myo Htwe, Colin Higgins, Graham Leedham, Ma Yang, "Evaluation of Feature Sets in the Post Processing of Handwritten Pitman?s Shorthand," Ninth International Workshop on Frontiers in Handwriting Recognition, pp. 359-364, Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR'04), 2004.
 
 
BibTex
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@article{ 10.1109/IWFHR.2004.39,
author = {Swe Myo Htwe and Colin Higgins and Graham Leedham and Ma Yang},
title = {Evaluation of Feature Sets in the Post Processing of Handwritten Pitman?s Shorthand},
journal ={Ninth International Workshop on Frontiers in Handwriting Recognition},
volume = {0},
year = {2004},
issn = {1550-5235},
pages = {359-364},
doi = {http://doi.ieeecomputersociety.org/10.1109/IWFHR.2004.39},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Ninth International Workshop on Frontiers in Handwriting Recognition
TI - Evaluation of Feature Sets in the Post Processing of Handwritten Pitman?s Shorthand
SN - 1550-5235
SP359
EP364
A1 - Swe Myo Htwe,
A1 - Colin Higgins,
A1 - Graham Leedham,
A1 - Ma Yang,
PY - 2004
KW - null
VL - 0
JA - Ninth International Workshop on Frontiers in Handwriting Recognition
ER -
 
Swe Myo Htwe, University of Nottingham
Colin Higgins, University of Nottingham
Graham Leedham, Nanyang Technological University,
Ma Yang, Nanyang Technological University,
Innovative ways to rapidly input text becomes essential in today?s world of mobile computing. The paper discusses the computer transcription of handwritten Pitman shorthand as a means of rapid text entry to pen-based computers, particularly from the aspect of linguistic post processing. Feature-to-phoneme conversion is introduced as the first stage of a text-interpreter and the application of various production rules based on different pattern structures is discussed. It demonstrates that phoneme ordering is compulsory in dictionary-based transcription and the use of an approximate pattern-matching algorithm resolves the problem of recognition confusion between similar patterns. Experimental results are promising and demonstrate an overall accuracy of 84%.
Citation:
Swe Myo Htwe, Colin Higgins, Graham Leedham, Ma Yang, "Evaluation of Feature Sets in the Post Processing of Handwritten Pitman?s Shorthand," iwfhr, pp.359-364, Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR'04), 2004
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