File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: A study on the use of Gabor features for Chinese OCR

TitleA study on the use of Gabor features for Chinese OCR
Authors
Issue Date2001
PublisherIEEE.
Citation
International Symposium on Intelligent Multimedia, Video and Speech Processing, Hong Kong, China, 2-4 May 2001, p. 389-392 How to Cite?
AbstractThe authors revisit the topic of Gabor feature extraction for Chinese OCR. We adopt a very simple discriminant function to construct a maximum discriminant function based character recognizer. We experiment with a simple way of forming a feature vector for each character image by extracting Gabor features using one wavelength at locations uniformly sampled with one spatial resolution. Extensive experiments on large vocabulary Chinese OCR for both machine-printed and handwritten characters are performed by using a large amount of training and testing data to demonstrate the effectiveness of the Gabor features for Chinese OCR. Using Gabor features as raw features, we have constructed several state-of-the-art Chinese OCR engines.
Persistent Identifierhttp://hdl.handle.net/10722/45629
ISBN

 

DC FieldValueLanguage
dc.contributor.authorHuo, Qen_HK
dc.contributor.authorFeng, ZDen_HK
dc.contributor.authorGe, Yen_HK
dc.date.accessioned2007-10-30T06:30:39Z-
dc.date.available2007-10-30T06:30:39Z-
dc.date.issued2001en_HK
dc.identifier.citationInternational Symposium on Intelligent Multimedia, Video and Speech Processing, Hong Kong, China, 2-4 May 2001, p. 389-392en_HK
dc.identifier.isbn962-85766-2-3en_HK
dc.identifier.urihttp://hdl.handle.net/10722/45629-
dc.description.abstractThe authors revisit the topic of Gabor feature extraction for Chinese OCR. We adopt a very simple discriminant function to construct a maximum discriminant function based character recognizer. We experiment with a simple way of forming a feature vector for each character image by extracting Gabor features using one wavelength at locations uniformly sampled with one spatial resolution. Extensive experiments on large vocabulary Chinese OCR for both machine-printed and handwritten characters are performed by using a large amount of training and testing data to demonstrate the effectiveness of the Gabor features for Chinese OCR. Using Gabor features as raw features, we have constructed several state-of-the-art Chinese OCR engines.en_HK
dc.format.extent445655 bytes-
dc.format.extent7254 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©2001 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.titleA study on the use of Gabor features for Chinese OCRen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=962-85766-2-3&volume=&spage=389&epage=392&date=2001&atitle=A+study+on+the+use+of+Gabor+features+for+Chinese+OCRen_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/ISIMP.2001.925415en_HK
dc.identifier.hkuros57654-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats