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Conference Paper: DISTORTION MODEL FOR CHINESE CHARACTER GENERATION.

TitleDISTORTION MODEL FOR CHINESE CHARACTER GENERATION.
Authors
Issue Date1985
AbstractA distortion model is proposed to expand a given database so that it represents more variations in handwriting than the original. The model performs appropriate shearing and warping operations on the sample characters in order to generate additional samples with variations in stroke directions and in the relative sizes between different subpatterns of the character. It is found that recognition systems trained up with such additional samples perform much better than those without using such samples. This shows that the proposed model is practically useful.
Persistent Identifierhttp://hdl.handle.net/10722/157997

 

DC FieldValueLanguage
dc.contributor.authorLeung, CHen_US
dc.contributor.authorCheung, YSen_US
dc.contributor.authorChan, KPen_US
dc.date.accessioned2012-08-08T08:57:38Z-
dc.date.available2012-08-08T08:57:38Z-
dc.date.issued1985en_US
dc.identifier.urihttp://hdl.handle.net/10722/157997-
dc.description.abstractA distortion model is proposed to expand a given database so that it represents more variations in handwriting than the original. The model performs appropriate shearing and warping operations on the sample characters in order to generate additional samples with variations in stroke directions and in the relative sizes between different subpatterns of the character. It is found that recognition systems trained up with such additional samples perform much better than those without using such samples. This shows that the proposed model is practically useful.en_US
dc.languageengen_US
dc.titleDISTORTION MODEL FOR CHINESE CHARACTER GENERATION.en_US
dc.typeConference_Paperen_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0022287099en_US

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