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|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||Statistics to Oct 2018:||Visitors: 194
|Appears in Collections:||Conference Publication|
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