| Author(s) |
Ma, Yang
Leedham, Graham
|
| Publication Date |
2007
|
| Abstract |
There is a wish to be able to enter Chinese text into mobile computing devices in real-time at the speed of speech. Handwritten shorthand schemes offer the potential to achieve this data recording rate. A new overall solution to the segmentation and classification of phonetic features in Renqun shorthand, which records Chinese characters phonetically, is proposed in this paper. A new writing rule is introduced to improve the machine readability of Renqun shorthand. Evaluation results show that the introduction of the new rule has a positive effect on the recognition performance. The recognition accuracies for vocalized outlines and shortforms following the new rule achieve 83% and 84.07%, respectively.
|
| Citation |
Pattern Recognition Letters, 28(7), p. 873-883
|
| ISSN |
1872-7344
0167-8655
|
| Link | |
| Language |
en
|
| Publisher |
Elsevier BV
|
| Title |
On-line recognition of handwritten Renqun shorthand for fast mobile Chinese text entry
|
| Type of document |
Journal Article
|
| Entity Type |
Publication
|
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