Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/18017
Title: Segmentation and Recognition of Vocalized Outlines in Pitman Shorthand
Contributor(s): Yang, Ma (author); Leedham, Graham  (author); Higgins, Colin (author); Htwe, Swe Myo (author)
Publication Date: 2004
DOI: 10.1109/ICPR.2004.1334153
Handle Link: https://hdl.handle.net/1959.11/18017
Abstract: There is a wish to be able to enter text into mobile computing devices at the speed of speech. Only handwritten shorthand schemes can achieve this data recording rate. A novel approach to the recognition of vocalized outlines in Pitman's shorthand is proposed in this paper. In this approach, the recognition process is divided into two steps. The consonant outline is first recognized by a two-stage (segmentation and classification) approach. Afterwards surrounding vowel and diphthong symbols are classified and their positions in relation to an associated consonant stroke are determined. Promising results of over 70% recognition accuracy have been obtained.
Publication Type: Conference Publication
Conference Details: ICPR'04: 17th International Conference on Pattern Recognition, Cambridge, United Kingdom, 23rd - 26th August, 2004
Source of Publication: Proceedings of the 17th International Conference on Pattern Recognition (ICPR'04), v.1, p. 441-444
Publisher: IEEE: Institute of Electrical and Electronics Engineers
Place of Publication: Piscataway, United States of America
ISSN: 1051-4651
Field of Research (FOR): 080109 Pattern Recognition and Data Mining
Socio-Economic Objective (SEO): 890299 Computer Software and Services not elsewhere classified
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
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Appears in Collections:Conference Publication
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