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Conference Paper: An off-line large vocabulary hand-written Chinese character recognizer

TitleAn off-line large vocabulary hand-written Chinese character recognizer
Authors
KeywordsComputers
Computer graphics
Issue Date1997
PublisherIEEE.
Citation
International Conference on Image Processing Proceedings, Santa Barbara, CA, USA, 26-29 October 1997, v. 3, p. 324-327 How to Cite?
AbstractAn off-line hand-written Chinese character recognizer based on contextual vector quantization (CVQ) supporting a vocabulary of 4616 Chinese characters, alphanumerics and punctuation symbols has been reported. Trained with a sample for each character from each of 100 writers and tested on texts of 160000 characters written by another 200 writers, the average recognition rate is 77.2%. Two statistical language models have been investigated in this study. Their performance in terms of their capabilities in upgrading the recognition rate by 8.8% and 12.0% respectively when used as post-processors of the recognizer are reported.
Persistent Identifierhttp://hdl.handle.net/10722/45599
ISBN

 

DC FieldValueLanguage
dc.contributor.authorWong, PKen_HK
dc.contributor.authorChan, Cen_HK
dc.date.accessioned2007-10-30T06:30:01Z-
dc.date.available2007-10-30T06:30:01Z-
dc.date.issued1997en_HK
dc.identifier.citationInternational Conference on Image Processing Proceedings, Santa Barbara, CA, USA, 26-29 October 1997, v. 3, p. 324-327en_HK
dc.identifier.isbn0-8186-8183-7en_HK
dc.identifier.urihttp://hdl.handle.net/10722/45599-
dc.description.abstractAn off-line hand-written Chinese character recognizer based on contextual vector quantization (CVQ) supporting a vocabulary of 4616 Chinese characters, alphanumerics and punctuation symbols has been reported. Trained with a sample for each character from each of 100 writers and tested on texts of 160000 characters written by another 200 writers, the average recognition rate is 77.2%. Two statistical language models have been investigated in this study. Their performance in terms of their capabilities in upgrading the recognition rate by 8.8% and 12.0% respectively when used as post-processors of the recognizer are reported.en_HK
dc.format.extent431599 bytes-
dc.format.extent3669 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©1997 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_HK
dc.subjectComputersen_HK
dc.subjectComputer graphicsen_HK
dc.titleAn off-line large vocabulary hand-written Chinese character recognizeren_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0-8186-8183-7&volume=3&spage=324&epage=327&date=1997&atitle=An+off-line+large+vocabulary+hand-written+Chinese+character+recognizeren_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/ICIP.1997.632106en_HK
dc.identifier.hkuros38206-

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