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On-line Recognition of Pitman Shorthand for Fast Mobile Text Entry |
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Editor(s): Xiangjian He, Tom Hintz, Massimo Piccardi, Qiang Wu, Maolin Huang, David Tien and Danielle C Martin |
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Institute of Electrical and Electronics Engineers (IEEE) |
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Los Alamitos, United States of America |
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| Abstract |
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A novel solution to on-line Pitman shorthand recognition for high speed text input (> 120wpm) to computer and mobile devices such as PDA's is proposed in this paper. Approaches to the recognition of three major components of Pitman shorthand - consonant outlines, vowel and diphthong symbols and are described in detail. Evaluation shows that the proposed approach achieved 84.4% recognition accuracy. |
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Proceedings of the Third International Conference on Information Technology and Applications (ICITA'05), v.1, p. 686-691 |
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