Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/8470
Title: Segmentation and recognition of phonetic features in handwritten Pitman shorthand
Contributor(s): Yang, Ma (author); Leedham, Graham  (author); Higgins, Colin (author); Htwe, Swe Myo (author)
Publication Date: 2008
DOI: 10.1016/j.patcog.2007.10.014
Handle Link: https://hdl.handle.net/1959.11/8470
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 new, overall solution to the segmentation and recognition of phonetic features in Pitman shorthand is proposed in this paper. Approaches to the recognition of consonant outlines, vowel and diphthong symbols and shortforms, which are different components of Pitman shorthand, are presented. A new rule is introduced to solve the issue of smooth junctions in the consonant outlines which was normally the bottleneck for recognition. Experiments with a set of 1127 consonant outlines, 2039 vowels and diphthongs and 841 shortforms from three shorthand writers have demonstrated that the proposed solution is quite promising. The recognition accuracies for consonant outlines, vowels and diphthongs, and shortforms achieved 75.33%, 96.86% and 91.86%, respectively. From the evaluation of 461 outlines with smooth junction, the introduction of the new rule has a great positive effect on the performance of the solution. The recognition accuracy of smooth junction improves from 37.53% to 93.41% given a writing time increase of 14.42%.
Publication Type: Journal Article
Source of Publication: Pattern Recognition, 41(4), p. 1280-1294
Publisher: Pergamon
Place of Publication: United Kingdom
ISSN: 1873-5142
0031-3203
Field of Research (FOR): 080104 Computer Vision
080106 Image Processing
080109 Pattern Recognition and Data Mining
Socio-Economic Outcome Codes: 810107 National Security
810199 Defence not elsewhere classified
890299 Computer Software and Services not elsewhere classified
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
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