Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/18018
Title: Evaluation of Feature Sets in the Post Processing of Handwritten Pitman's Shorthand
Contributor(s): Htwe, Swe Myo (author); Higgins, Colin (author); Leedham, Graham  (author); Yang, Ma (author)
Publication Date: 2004
DOI: 10.1109/IWFHR.2004.39
Handle Link: https://hdl.handle.net/1959.11/18018
Abstract: 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%.
Publication Type: Conference Publication
Conference Details: IWFHR-9 2004: Ninth International Workshop on Frontiers in Handwriting Recognition, Tokyo, Japan, 26th - 29th October, 2004
Source of Publication: Proceedings of the Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR-9), p. 359-364
Publisher: IEEE: Institute of Electrical and Electronics Engineers Systems
Place of Publication: Los Alamitos, United States of America
ISSN: 1550-5235
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
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