Segmentation and Recognition of Vocalized Outlines in Pitman Shorthand

Title
Segmentation and Recognition of Vocalized Outlines in Pitman Shorthand
Publication Date
2004
Author(s)
Yang, Ma
Leedham, Graham
Higgins, Colin
Htwe, Swe Myo
Editor
Editor(s): Josef Kittler
Type of document
Conference Publication
Language
en
Entity Type
Publication
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Place of publication
Los Alamitos, United States of America
DOI
10.1109/ICPR.2004.1334153
UNE publication id
une:18224
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.
Link
Citation
Proceedings of the 17th International Conference on Pattern Recognition (ICPR'04), v.1, p. 441-444
ISSN
1051-4651
ISBN
0769521282
Start page
441
End page
444

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