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Conference Paper: Different approach to designing neural networks for similar handwritten Chinese character recognition

TitleDifferent approach to designing neural networks for similar handwritten Chinese character recognition
Authors
KeywordsHandwritten Chinese character recognition
Neural networks
ETL9B
Issue Date1998
PublisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://www.spie.org/app/Publications/index.cfm?fuseaction=proceedings
Citation
Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation, San Diego, California, USA, 20-22 July 1998, v. 3455, p. 286-291 How to Cite?
AbstractThe input images of Chinese characters are normally preprocessed using different image processing techniques before the main classification in the handwritten Chinese character recognition. The authors proposed a different approach to the system philosophy of solving the handwritten Chinese character recognition problem where no preprocessing is necessary. The Chinese characters are treated as ideographs. The proposed system consists of a Rough Classifier which trigger the different Fine Classifiers. Each classifier is an optimized artificial neural network using genetic algorithms. A reduced system has been implemented. The result shows that the proposed system has higher recognition rate than the similar systems reported and is more efficiency.
Persistent Identifierhttp://hdl.handle.net/10722/46583
ISSN

 

DC FieldValueLanguage
dc.contributor.authorYip, HFDen_HK
dc.contributor.authorYu, WWHen_HK
dc.date.accessioned2007-10-30T06:53:26Z-
dc.date.available2007-10-30T06:53:26Z-
dc.date.issued1998en_HK
dc.identifier.citationApplications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation, San Diego, California, USA, 20-22 July 1998, v. 3455, p. 286-291en_HK
dc.identifier.issn0277-786Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/46583-
dc.description.abstractThe input images of Chinese characters are normally preprocessed using different image processing techniques before the main classification in the handwritten Chinese character recognition. The authors proposed a different approach to the system philosophy of solving the handwritten Chinese character recognition problem where no preprocessing is necessary. The Chinese characters are treated as ideographs. The proposed system consists of a Rough Classifier which trigger the different Fine Classifiers. Each classifier is an optimized artificial neural network using genetic algorithms. A reduced system has been implemented. The result shows that the proposed system has higher recognition rate than the similar systems reported and is more efficiency.en_HK
dc.format.extent251650 bytes-
dc.format.extent3380 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://www.spie.org/app/Publications/index.cfm?fuseaction=proceedingsen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rightsS P I E - the International Society for Optical Proceedings. Copyright © S P I E - International Society for Optical Engineering.en_HK
dc.rightsCopyright 1998 Society of Photo-Optical Instrumentation Engineers. This paper was published in Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation, San Diego, California, USA, 20-22 July 1998, v. 3455, p. 286-291 and is made available as an electronic reprint with permission of SPIE. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.en_HK
dc.subjectHandwritten Chinese character recognitionen_HK
dc.subjectNeural networksen_HK
dc.subjectETL9Ben_HK
dc.titleDifferent approach to designing neural networks for similar handwritten Chinese character recognitionen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0277-786X&volume=3455&spage=286&epage=291&date=1998&atitle=Different+approach+to+designing+neural+networks+for+similar+handwritten+Chinese+character+recognitionen_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1117/12.326723en_HK
dc.identifier.scopuseid_2-s2.0-58149234055-
dc.identifier.hkuros47043-

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