Online unconstrained handwritten Tibetan character recognition using statistical recognition method

منو

" Online unconstrained handwritten Tibetan character recognition using statistical recognition method "
Ma, Long-long; Wu, Jiang

Document Type	:	AL
Record Number	:	908677
Doc. No	:	LA3dk73778
Title & Author	:	Online unconstrained handwritten Tibetan character recognition using statistical recognition method [Article]\ Ma, Long-long; Wu, Jiang
Date	:	2016
Title of Periodical	:	UC Santa Barbara
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 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 a three-stage classification strategy, where the top rank output classes by the baseline classifier are re-classified by similarcharacter 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 to pen-based mobile devices.