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Title:
a recognition system for online handwritten tibetan characters
Author: Ma Long-Long ; Wu Jian
Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Conference Name: 9th IAPR Workshop on Graphics Recognition, GREC 2011
Conference Date: September 15, 2011 - September 16, 2011
Issued Date: 2013
Conference Place: Seoul, Korea, Republic of
Keyword: Mathematical morphology ; Mobile devices
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
Sponsorship: Chung-Ang University; KIISE; Suprema Inc.; Triple Aims
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.
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.
Language: 英语
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/15902
Appears in Collections:软件所图书馆_会议论文

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Recommended Citation:
Ma Long-Long,Wu Jian. a recognition system for online handwritten tibetan characters[C]. 见:9th IAPR Workshop on Graphics Recognition, GREC 2011. Seoul, Korea, Republic of. September 15, 2011 - September 16, 2011.
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