Institutional Repository
| a recognition system for online handwritten tibetan characters | |
| Ma Long-Long; Wu Jian | |
| 2013 | |
| Conference Name | 9th IAPR Workshop on Graphics Recognition, GREC 2011 |
| Source | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Pages | 99-107 |
| Conference Date | September 15, 2011 - September 16, 2011 |
| Conference Place | Seoul, Korea, Republic of |
| Indexed Type | EI |
| ISSN | 0302-9743 |
| ISBN | 9783642368233 |
| Department | (1) National Engineering Research Center of Fundamental Software Institute of Software Chinese Academy of Sciences Beijing China |
| English Abstract | This paper describes a recognition system for online handwritten Tibetan characters using advanced techniques in character recognition. To eliminate noise points of handwriting trajectories, we introduce a de-noising approach by using dilation, erosion, thinning operators of the mathematical morphology. Selecting appropriate structuring elements, we can clear up large amounts of noises in the glyphs of the character. To enhance the recognition performance, we adopt three-stage classification strategy, where the top rank output classes by the baseline classifier are re-classified by similar character discrimination classifier. Experiments have been carried out on two databases MRG-OHTC and IIP-OHTC. Test results show the used recognition algorithm is effective and can be applied in pen-based mobile devices. © 2013 Springer-Verlag.; This paper describes a recognition system for online handwritten Tibetan characters using advanced techniques in character recognition. To eliminate noise points of handwriting trajectories, we introduce a de-noising approach by using dilation, erosion, thinning operators of the mathematical morphology. Selecting appropriate structuring elements, we can clear up large amounts of noises in the glyphs of the character. To enhance the recognition performance, we adopt three-stage classification strategy, where the top rank output classes by the baseline classifier are re-classified by similar character discrimination classifier. Experiments have been carried out on two databases MRG-OHTC and IIP-OHTC. Test results show the used recognition algorithm is effective and can be applied in pen-based mobile devices. © 2013 Springer-Verlag. |
| Keyword | Mathematical Morphology Mobile Devices |
| Sponsorship | Chung-Ang University; KIISE; Suprema Inc.; Triple Aims |
| Language | 英语 |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/15902 |
| Collection | 中国科学院软件研究所 |
| Recommended Citation GB/T 7714 | Ma Long-Long,Wu Jian. a recognition system for online handwritten tibetan characters[C],2013:99-107. |
| Files in This Item: | There are no files associated with this item. | |||||
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