a recognition system for online handwritten tibetan characters

ISCAS OpenIR

	a recognition system for online handwritten tibetan characters
	Ma Long-Long; Wu Jian
	2013
会议名称	9th IAPR Workshop on Graphics Recognition, GREC 2011
会议录名称	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
页码	99-107
会议日期	September 15, 2011 - September 16, 2011
会议地点	Seoul, Korea, Republic of
收录类别	EI
ISSN	0302-9743
ISBN	9783642368233
部门归属	(1) National Engineering Research Center of Fundamental Software Institute of Software Chinese Academy of Sciences Beijing China
摘要	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.
关键词	Mathematical Morphology Mobile Devices
主办者	Chung-Ang University; KIISE; Suprema Inc.; Triple Aims
语种	英语
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/15902
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Ma Long-Long,Wu Jian. a recognition system for online handwritten tibetan characters[C],2013:99-107.