Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/6114
Title: Post-processing of Handwritten Pitman's Shorthand Using Unigram and Heuristic Approaches
Contributor(s): Myo Htwe, Swe (author); Higgins, Colin (author); Leedham, Graham  (author); Yang, Ma (author)
Publication Date: 2004
DOI: 10.1007/b100557
Handle Link: https://hdl.handle.net/1959.11/6114
Abstract: The computer transcription of handwritten Pitman's shorthand has enormous potential as a means of rapid text entry to today's handheld devices. Recognition errors caused in pattern segmentation and classification raises the incidence of ambiguous interpretation in existing systems and the paper proposes a well-established unigram technique and an efficient heuristic method to reduce ambiguity in a linguistic post processor. Heuristics applied in our transcription system are: - firstly, incorporating visual stimulus as used by human readers; secondly, applying knowledge of the most common words of Pitman shorthand; and finally, adding knowledge of collocation. An experiment using a phonetic Lexicon of 5000 entries shows the distribution of ambiguity in a shorthand lexicon due to the similarity of outlines' and estimates the transcription accuracy of 94%.
Publication Type: Conference Publication
Conference Details: IAPR International Workshop on Document Analysis System, Florence, Italy, 8-10 September, 2004
Source of Publication: Document analysis systems VI: Proceedings of the 6th international workshop, DAS 2004, v.Lecture notes in computer science: 3163, p. 332-336
Publisher: Springer
Place of Publication: Berlin, Germany
ISSN: 1611-3349
0302-9743
Field of Research (FOR): 080106 Image Processing
080109 Pattern Recognition and Data Mining
Socio-Economic Objective (SEO): 810107 National Security
890299 Computer Software and Services not elsewhere classified
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Other Links: http://www.dsi.unifi.it/DAS04/
http://nla.gov.au/anbd.bib-an26279773
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