Character extraction from scene image using fuzzy entropy and rule-based technique
Identifieur interne : 001D22 ( Istex/Corpus ); précédent : 001D21; suivant : 001D23Character extraction from scene image using fuzzy entropy and rule-based technique
Auteurs : Opas Chutatape ; Li LiSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 1997.
Abstract
Abstract: This paper presents a segmentation technique based on fuzzy logic and information entropy principle to extract alphanumeric characters from general scene images. In this approach, the scene images are segmented into various regions based on fuzzy entropy method. A coarse searching technique is then implemented to locate potential character regions, followed by a rule-based character detecting technique to accurately extract characters. The x-projection/profile is also applied to search for any missing characters. Test results show that the proposed method is capable of extracting alphanumeric characters from various scene images under badly illuminating condition.
Url:
DOI: 10.1007/3-540-63460-6_168
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ISTEX:AEF6BB1806D0611AFEBB072BEEF473AF951D7A38Le document en format XML
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In this approach, the scene images are segmented into various regions based on fuzzy entropy method. A coarse searching technique is then implemented to locate potential character regions, followed by a rule-based character detecting technique to accurately extract characters. The x-projection/profile is also applied to search for any missing characters. Test results show that the proposed method is capable of extracting alphanumeric characters from various scene images under badly illuminating condition.</div></front></TEI><istex><corpusName>springer</corpusName><author><json:item><name>Opas Chutatape</name><affiliations><json:string>School of Electrical and Electronic Engineering, Nanyang Technological University, 639798, Singapore</json:string><json:string>E-mail: eopas@ntuvax.ntu.ac.sg</json:string></affiliations></json:item><json:item><name>Li Li</name><affiliations><json:string>School of Electrical and Electronic Engineering, Nanyang Technological University, 639798, Singapore</json:string></affiliations></json:item></author><language><json:string>eng</json:string></language><abstract>Abstract: This paper presents a segmentation technique based on fuzzy logic and information entropy principle to extract alphanumeric characters from general scene images. 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DisplayOrder="Western"><GivenName>Opas</GivenName><FamilyName>Chutatape</FamilyName></AuthorName><Contact><Email>eopas@ntuvax.ntu.ac.sg</Email></Contact></Author><Author AffiliationIDS="Aff1"><AuthorName DisplayOrder="Western"><GivenName>Li</GivenName><FamilyName>Li</FamilyName></AuthorName></Author><Affiliation ID="Aff1"><OrgDivision>School of Electrical and Electronic Engineering</OrgDivision><OrgName>Nanyang Technological University</OrgName><OrgAddress><Postcode>639798</Postcode><Country>Singapore</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>This paper presents a segmentation technique based on fuzzy logic and information entropy principle to extract alphanumeric characters from general scene images. In this approach, the scene images are segmented into various regions based on fuzzy entropy method. A coarse searching technique is then implemented to locate potential character regions, followed by a rule-based character detecting technique to accurately extract characters. The x-projection/profile is also applied to search for any missing characters. Test results show that the proposed method is capable of extracting alphanumeric characters from various scene images under badly illuminating condition.</Para></Abstract><KeywordGroup Language="En"><Heading>Key words</Heading><Keyword>Thresholding</Keyword><Keyword>region grouping</Keyword><Keyword>fuzzy entropy</Keyword><Keyword>pattern analysis</Keyword></KeywordGroup></ChapterHeader><NoBody></NoBody></Chapter></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Character extraction from scene image using fuzzy entropy and rule-based technique</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Character extraction from scene image using fuzzy entropy and rule-based technique</title></titleInfo><name type="personal"><namePart type="given">Opas</namePart><namePart type="family">Chutatape</namePart><affiliation>School of Electrical and Electronic Engineering, Nanyang Technological University, 639798, Singapore</affiliation><affiliation>E-mail: eopas@ntuvax.ntu.ac.sg</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Li</namePart><namePart type="family">Li</namePart><affiliation>School of Electrical and Electronic Engineering, Nanyang Technological University, 639798, Singapore</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="conference [eBooks]" displayLabel="ReviewPaper"></genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">1997</dateIssued><copyrightDate encoding="w3cdtf">1997</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">Abstract: This paper presents a segmentation technique based on fuzzy logic and information entropy principle to extract alphanumeric characters from general scene images. 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