Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Third International Conference on Information Technology and Applications (ICITA'05) |
| Editors | Xiangjian He, Tom Hintz, Massimo Piccardi, Qiang Wu, Maolin Huang, David Tien, Danielle C Martin |
| Place of Publication | Los Alamitos, United States of America |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Pages | 686-691 |
| Volume | 1 |
| ISBN (Print) | 0769523161 |
| DOIs | |
| Publication status | Published - 2005 |
| Event | ICITA 2005: 3rd International Conference on Information Technology and Applications - Sydney, Australia Duration: 4 Jul 2005 → 7 Jul 2005 |
Conference
| Conference | ICITA 2005: 3rd International Conference on Information Technology and Applications |
|---|---|
| City | Sydney, Australia |
| Period | 4/07/05 → 7/07/05 |
Keywords
- Image Processing
- Pattern Recognition and Data Mining
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