Segmentation and Recognition of Vocalized Outlines in Pitman Shorthand

Authors:
Ma Yang;Graham Leedham;Colin Higgins;Swe Myo Htwe
Affiliations:
Nanyang Technological University;Nanyang Technological University;The University of Nottingham;The University of Nottingham
Venue:
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Year:
2004

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Segmentation and recognition of phonetic features in handwritten Pitman shorthand

Pattern Recognition
Post processing of handwritten phonetic pitman's shorthand using a bayesian network built on geometric attributes

ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I

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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 Pitmanýs 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.