DocumentCode :
560932
Title :
A normalization method of converting online handwritten Chinese character to Stroke-Segment-Mesh Glyph
Author :
Huang, Hanquan
Author_Institution :
China
fYear :
2011
fDate :
17-18 Dec. 2011
Firstpage :
359
Lastpage :
364
Abstract :
Stroke-Segment-Mesh Depiction of Chinese Character Glyph (mesh glyph) can depict input of any glyph and computation for comparing either the whole or part of glyphs. Basing on Stroke-Segment-Mesh model, a method of normalization converting online handwriting Chinese characters to Stroke- Segment-Mesh Glyph is presented. Firstly, normalize the key points of every stroke. And then normalize relative position relationships of strokes. Using the method of normalizing sequential key points improves the normalization method of handwriting Chinese character, and thus figure out the problem of stroke segment translocation when normalizes complex strokes. The method of normalizing relative position relationships of strokes is to ensure relative position relationships consistency among the strokes of mesh glyph and the handwritten Chinese character by moving, extending or shortening the corresponding strokes. Experimental results indicate that the presented method has much better converting effect and sets foundation for stroke-segment-mesh glyph recognition and the Chinese characters quality evaluation.
Keywords :
character sets; natural language processing; Chinese character glyph; Chinese characters quality evaluation; normalization method; online handwritten Chinese character; stroke segment translocation; stroke-segment-mesh depiction; stroke-segment-mesh glyph recognition; stroke-segment-mesh model; Character recognition; Computers; Educational institutions; Fitting; Handwriting recognition; Periodic structures; Writing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computer Science and Information System (ICACSIS), 2011 International Conference on
Conference_Location :
Jakarta
Print_ISBN :
978-1-4577-1688-1
Type :
conf
Filename :
6140764
Link To Document :
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