Computer Science ›› 2009, Vol. 36 ›› Issue (10): 237-239.

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De-noising Approach for Online Handwriting Character Recognition Based on Mathematical Morphology

SUN Yan, LIU Han-meng, RUI Jian-wu, WU Jian   

  • Online:2018-11-16 Published:2018-11-16

Abstract: There arc lots of various noises when users are writing characters on the tablet. It's significant to eliminate these noises in order to make these characters be recognized accurately. According to the features of online handwriting characters, we analyzed all sorts of noises generated during writing on the tablet.By applying erosion, dilation, thinning operations of the mathematical morphology into preprocessing of online handwriting recognition,a dcnoising approach was proposed in this article. Using appropriate structure elements, we can eliminate large amounts of noises in the glyphs of characters. The experiment shows that this solution is valid and robust for online handwriting character recogration.

Key words: Mathematical morphology, Online handwriting recognition, Dcnoising, Thinning

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