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Conference Paper: Automatic generation of personal Chinese handwriting by capturing the characteristics of personal handwriting
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TitleAutomatic generation of personal Chinese handwriting by capturing the characteristics of personal handwriting
 
AuthorsXu, S3 2 1
Jin, T1
Jiang, H1
Lau, FCM1
 
Issue Date2009
 
CitationProceedings Of The 21St Innovative Applications Of Artificial Intelligence Conference, Iaai-09, 2009, p. 191-196 [How to Cite?]
 
AbstractPersonal handwritings can add colors to human communication. Handwriting, however, takes more time and is less favored than typing in the digital age. In this paper we propose an intelligent algorithm which can generate imitations of Chinese handwriting by a person requiring only a very small set of training characters written by the person. Our method first decomposes the sample Chinese handwriting characters into a hierarchy of reusable components, called character components. During handwriting generation, the algorithm tries and compares different possible ways to compose the target character. The likeliness of a given personal handwriting generation result is evaluated according to the captured characteristics of the person's handwriting. We then find among all the candidate generation results an optimal one which can maximize a likeliness estimation. Experiment results show that our algorithm works reasonably well in the majority of the cases and sometimes remarkably well, which was verified through comparison with the groundtruth data and by a small scale user survey. Copyright © 2009.
 
ReferencesReferences in Scopus
 
DC FieldValue
dc.contributor.authorXu, S
 
dc.contributor.authorJin, T
 
dc.contributor.authorJiang, H
 
dc.contributor.authorLau, FCM
 
dc.date.accessioned2012-06-26T06:31:36Z
 
dc.date.available2012-06-26T06:31:36Z
 
dc.date.issued2009
 
dc.description.abstractPersonal handwritings can add colors to human communication. Handwriting, however, takes more time and is less favored than typing in the digital age. In this paper we propose an intelligent algorithm which can generate imitations of Chinese handwriting by a person requiring only a very small set of training characters written by the person. Our method first decomposes the sample Chinese handwriting characters into a hierarchy of reusable components, called character components. During handwriting generation, the algorithm tries and compares different possible ways to compose the target character. The likeliness of a given personal handwriting generation result is evaluated according to the captured characteristics of the person's handwriting. We then find among all the candidate generation results an optimal one which can maximize a likeliness estimation. Experiment results show that our algorithm works reasonably well in the majority of the cases and sometimes remarkably well, which was verified through comparison with the groundtruth data and by a small scale user survey. Copyright © 2009.
 
dc.description.natureLink_to_subscribed_fulltext
 
dc.identifier.citationProceedings Of The 21St Innovative Applications Of Artificial Intelligence Conference, Iaai-09, 2009, p. 191-196 [How to Cite?]
 
dc.identifier.epage196
 
dc.identifier.scopuseid_2-s2.0-74949110933
 
dc.identifier.spage191
 
dc.identifier.urihttp://hdl.handle.net/10722/151963
 
dc.languageeng
 
dc.relation.ispartofProceedings of the 21st Innovative Applications of Artificial Intelligence Conference, IAAI-09
 
dc.relation.referencesReferences in Scopus
 
dc.titleAutomatic generation of personal Chinese handwriting by capturing the characteristics of personal handwriting
 
dc.typeConference_Paper
 
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Author Affiliations
  1. The University of Hong Kong
  2. Zhejiang University
  3. Yale University