A recognition system for online handwritten tibetan characters

Authors:
Long-Long Ma;Jian Wu
Affiliations:
National Engineering Research Center of Fundamental Software, Institute of Software, Chinese Academy of Sciences, Beijing, P.R. China;National Engineering Research Center of Fundamental Software, Institute of Software, Chinese Academy of Sciences, Beijing, P.R. China
Venue:
GREC'11 Proceedings of the 9th international conference on Graphics Recognition: new trends and challenges
Year:
2011

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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.