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Conference Paper: Handwritten Chinese character recognition using spatial Gabor filters and self-organizing feature maps

TitleHandwritten Chinese character recognition using spatial Gabor filters and self-organizing feature maps
Authors
KeywordsComputers
Computer graphics
Issue Date1994
PublisherIEEE.
Citation
The 1994 International Conference on Image Processing, Austin, TX., 13-16 November 1994. In International Conference on Image Processing Proceedings, 1994, v. 3, p. 940-944 How to Cite?
AbstractSo far the bottleneck of Chinese recognition, especially handwritten recognition, still lies in the effectiveness of feature-extraction to cater for various distortions and position shifting. In the paper, a novel method is proposed by applying a set of Gabor spatial filters with different directions and spatial frequencies to character images, in an effort to reach the optimum trade-off between feature stability and feature localization. While a classic self-organizing map is used for unsupervised clustering feature codes, a multi-staged LVQ with a fuzzy judgement unit is applied for the final recognition on the feature mapping result.
Persistent Identifierhttp://hdl.handle.net/10722/45621
ISSN

 

DC FieldValueLanguage
dc.contributor.authorDeng, Den_HK
dc.contributor.authorChan, KPen_HK
dc.contributor.authorYu, YLen_HK
dc.date.accessioned2007-10-30T06:30:28Z-
dc.date.available2007-10-30T06:30:28Z-
dc.date.issued1994en_HK
dc.identifier.citationThe 1994 International Conference on Image Processing, Austin, TX., 13-16 November 1994. In International Conference on Image Processing Proceedings, 1994, v. 3, p. 940-944en_HK
dc.identifier.issn1522-4880en_HK
dc.identifier.urihttp://hdl.handle.net/10722/45621-
dc.description.abstractSo far the bottleneck of Chinese recognition, especially handwritten recognition, still lies in the effectiveness of feature-extraction to cater for various distortions and position shifting. In the paper, a novel method is proposed by applying a set of Gabor spatial filters with different directions and spatial frequencies to character images, in an effort to reach the optimum trade-off between feature stability and feature localization. While a classic self-organizing map is used for unsupervised clustering feature codes, a multi-staged LVQ with a fuzzy judgement unit is applied for the final recognition on the feature mapping result.en_HK
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofInternational Conference on Image Processing Proceedings-
dc.rights©1994 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.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectComputersen_HK
dc.subjectComputer graphicsen_HK
dc.titleHandwritten Chinese character recognition using spatial Gabor filters and self-organizing feature mapsen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1522-4880&volume=3&spage=940&epage=944&date=1994&atitle=Handwritten+Chinese+character+recognition+using+spatial+Gabor+filters+and+self-organizing+feature+mapsen_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/ICIP.1994.413707en_HK
dc.identifier.hkuros5539-
dc.identifier.spage940-
dc.identifier.epage944-

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