Keyword Spotting on Hangul Document Images Using Two-Level Image-to-Image Matching
Identifieur interne : 002460 ( Istex/Corpus ); précédent : 002459; suivant : 002461Keyword Spotting on Hangul Document Images Using Two-Level Image-to-Image Matching
Auteurs : Cheol Park ; Jeong Son ; Bu Jeong ; Hyung KimSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2005.
Abstract
Abstract: A lot of printed documents and books has been published and saved as a form of images in digital libraries. Searching for a specified query word on document images is a challenging problem. The OCR software helps the images to be converted to the machine readable documents to search a full context [1]. Another approach [1, 2] is image-based one, in which both the document images and word information are saved in a database. The searching procedure is accomplished through comparing the features of query word image with the word images extracted from document images in the database. In this paper, we propose an accurate and fast keyword spotting system for searching user-specified keyword in Hangul document images by a two-level image-to-image matching method.
Url:
DOI: 10.1007/11504894_12
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ISTEX:0C6B637AAD6B5804D31CFF1B42F812FCD8F42C2BLe document en format XML
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Searching for a specified query word on document images is a challenging problem. The OCR software helps the images to be converted to the machine readable documents to search a full context [1]. Another approach [1, 2] is image-based one, in which both the document images and word information are saved in a database. The searching procedure is accomplished through comparing the features of query word image with the word images extracted from document images in the database. In this paper, we propose an accurate and fast keyword spotting system for searching user-specified keyword in Hangul document images by a two-level image-to-image matching method.</div></front></TEI><istex><corpusName>springer</corpusName><author><json:item><name>Sang Cheol Park</name><affiliations><json:string>Department of Computer Science, Chonnam National University, 300 Yongbong-dong, Buk-gu, 500-700, Kwangju, Korea</json:string><json:string>E-mail: sanchun@iip.chonnam.ac.kr</json:string></affiliations></json:item><json:item><name>Hwa Jeong Son</name><affiliations><json:string>Department of Computer Science, Chonnam National University, 300 Yongbong-dong, Buk-gu, 500-700, Kwangju, Korea</json:string><json:string>E-mail: sonhj@iip.chonnam.ac.kr</json:string></affiliations></json:item><json:item><name>Chang Bu Jeong</name><affiliations><json:string>Department of Computer Science, Chonnam National University, 300 Yongbong-dong, Buk-gu, 500-700, Kwangju, Korea</json:string><json:string>E-mail: cbjeong@iip.chonnam.ac.kr</json:string></affiliations></json:item><json:item><name>Soo Hyung Kim</name><affiliations><json:string>Department of Computer Science, Chonnam National University, 300 Yongbong-dong, Buk-gu, 500-700, Kwangju, Korea</json:string><json:string>E-mail: shkim@iip.chonnam.ac.kr</json:string></affiliations></json:item></author><language><json:string>eng</json:string></language><abstract>Abstract: A lot of printed documents and books has been published and saved as a form of images in digital libraries. 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Searching for a specified query word on document images is a challenging problem. The OCR software helps the images to be converted to the machine readable documents to search a full context [1]. Another approach [1, 2] is image-based one, in which both the document images and word information are saved in a database. The searching procedure is accomplished through comparing the features of query word image with the word images extracted from document images in the database. In this paper, we propose an accurate and fast keyword spotting system for searching user-specified keyword in Hangul document images by a two-level image-to-image matching method.</p></abstract><textClass><keywords scheme="Book Subject Collection"><list><label>SUCO11645</label><item><term>Computer Science</term></item></list></keywords></textClass><textClass><keywords scheme="Book Subject Group"><list><label>I</label><label>I21017</label><label>I16013</label><label>I2203X</label><label>I14029</label><label>I18040</label><label>I18067</label><item><term>Computer Science</term></item><item><term>Artificial Intelligence (incl. 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Proceedings</BookSubTitle><BookVolumeNumber>3533</BookVolumeNumber><BookSequenceNumber>3533</BookSequenceNumber><BookDOI>10.1007/b137656</BookDOI><BookTitleID>124933</BookTitleID><BookPrintISBN>978-3-540-26551-1</BookPrintISBN><BookElectronicISBN>978-3-540-31893-4</BookElectronicISBN><BookChapterCount>118</BookChapterCount><BookCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2005</CopyrightYear></BookCopyright><BookSubjectGroup><BookSubject Code="I" Type="Primary">Computer Science</BookSubject><BookSubject Code="I21017" Priority="1" Type="Secondary">Artificial Intelligence (incl. Robotics)</BookSubject><BookSubject Code="I16013" Priority="2" Type="Secondary">Computation by Abstract Devices</BookSubject><BookSubject Code="I2203X" Priority="3" Type="Secondary">Pattern Recognition</BookSubject><BookSubject Code="I14029" Priority="4" Type="Secondary">Software Engineering</BookSubject><BookSubject Code="I18040" Priority="5" Type="Secondary">Information Systems Applications (incl.Internet)</BookSubject><BookSubject Code="I18067" Priority="6" Type="Secondary">User Interfaces and Human Computer Interaction</BookSubject><SubjectCollection Code="SUCO11645">Computer Science</SubjectCollection></BookSubjectGroup><BookContext><SeriesID>558</SeriesID><SubSeriesID>1244</SubSeriesID></BookContext></BookInfo><BookHeader><EditorGroup><Editor AffiliationIDS="Aff18"><EditorName DisplayOrder="Western"><GivenName>Moonis</GivenName><FamilyName>Ali</FamilyName></EditorName><Contact><Email>ma04@txstate.edu</Email></Contact></Editor><Editor AffiliationIDS="Aff19"><EditorName DisplayOrder="Western"><GivenName>Floriana</GivenName><FamilyName>Esposito</FamilyName></EditorName><Contact><Email>esposito@di.uniba.it</Email></Contact></Editor><Affiliation ID="Aff18"><OrgDivision>Department of Computer Science</OrgDivision><OrgName>Texas State University-San Marcos</OrgName><OrgAddress><Street>Nueces 247, 601 University Drive</Street><Postcode>78666-4616</Postcode><City>San Marcos</City><State>TX</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff19"><OrgDivision>Dipartimento di Informatica</OrgDivision><OrgName>Università degli Studi di Bari</OrgName><OrgAddress><Country> </Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part3"><PartInfo TocLevels="0"><PartID>3</PartID><PartSequenceNumber>3</PartSequenceNumber><PartTitle>Image Analysis</PartTitle><PartChapterCount>3</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Innovations in Applied Artificial Intelligence</BookTitle></PartContext></PartInfo><Chapter ID="Chap12" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingDepth="2" NumberingStyle="ContentOnly" TocLevels="0"><ChapterID>12</ChapterID><ChapterDOI>10.1007/11504894_12</ChapterDOI><ChapterSequenceNumber>12</ChapterSequenceNumber><ChapterTitle Language="En">Keyword Spotting on Hangul Document Images Using Two-Level Image-to-Image Matching</ChapterTitle><ChapterFirstPage>79</ChapterFirstPage><ChapterLastPage>81</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2005</CopyrightYear></ChapterCopyright><ChapterGrants Type="Regular"><MetadataGrant Grant="OpenAccess"></MetadataGrant><AbstractGrant Grant="OpenAccess"></AbstractGrant><BodyPDFGrant Grant="Restricted"></BodyPDFGrant><BodyHTMLGrant Grant="Restricted"></BodyHTMLGrant><BibliographyGrant Grant="Restricted"></BibliographyGrant><ESMGrant Grant="Restricted"></ESMGrant></ChapterGrants><ChapterContext><SeriesID>558</SeriesID><PartID>3</PartID><BookID>978-3-540-31893-4</BookID><BookTitle>Innovations in Applied Artificial Intelligence</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff20"><AuthorName DisplayOrder="Western"><GivenName>Sang</GivenName><GivenName>Cheol</GivenName><FamilyName>Park</FamilyName></AuthorName><Contact><Email>sanchun@iip.chonnam.ac.kr</Email></Contact></Author><Author AffiliationIDS="Aff20"><AuthorName DisplayOrder="Western"><GivenName>Hwa</GivenName><GivenName>Jeong</GivenName><FamilyName>Son</FamilyName></AuthorName><Contact><Email>sonhj@iip.chonnam.ac.kr</Email></Contact></Author><Author AffiliationIDS="Aff20"><AuthorName DisplayOrder="Western"><GivenName>Chang</GivenName><GivenName>Bu</GivenName><FamilyName>Jeong</FamilyName></AuthorName><Contact><Email>cbjeong@iip.chonnam.ac.kr</Email></Contact></Author><Author AffiliationIDS="Aff20"><AuthorName DisplayOrder="Western"><GivenName>Soo</GivenName><GivenName>Hyung</GivenName><FamilyName>Kim</FamilyName></AuthorName><Contact><Email>shkim@iip.chonnam.ac.kr</Email></Contact></Author><Affiliation ID="Aff20"><OrgDivision>Department of Computer Science</OrgDivision><OrgName>Chonnam National University</OrgName><OrgAddress><Street>300 Yongbong-dong, Buk-gu</Street><City>Kwangju</City><Postcode>500-700</Postcode><Country>Korea</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>A lot of printed documents and books has been published and saved as a form of images in digital libraries. Searching for a specified query word on document images is a challenging problem. The OCR software helps the images to be converted to the machine readable documents to search a full context [1]. Another approach [1, 2] is image-based one, in which both the document images and word information are saved in a database. The searching procedure is accomplished through comparing the features of query word image with the word images extracted from document images in the database. In this paper, we propose an accurate and fast keyword spotting system for searching user-specified keyword in Hangul document images by a two-level image-to-image matching method.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Keyword Spotting on Hangul Document Images Using Two-Level Image-to-Image Matching</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Keyword Spotting on Hangul Document Images Using Two-Level Image-to-Image Matching</title></titleInfo><name type="personal"><namePart type="given">Sang</namePart><namePart type="given">Cheol</namePart><namePart type="family">Park</namePart><affiliation>Department of Computer Science, Chonnam National University, 300 Yongbong-dong, Buk-gu, 500-700, Kwangju, Korea</affiliation><affiliation>E-mail: sanchun@iip.chonnam.ac.kr</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Hwa</namePart><namePart type="given">Jeong</namePart><namePart type="family">Son</namePart><affiliation>Department of Computer Science, Chonnam National University, 300 Yongbong-dong, Buk-gu, 500-700, Kwangju, Korea</affiliation><affiliation>E-mail: sonhj@iip.chonnam.ac.kr</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Chang</namePart><namePart type="given">Bu</namePart><namePart type="family">Jeong</namePart><affiliation>Department of Computer Science, Chonnam National University, 300 Yongbong-dong, Buk-gu, 500-700, Kwangju, Korea</affiliation><affiliation>E-mail: cbjeong@iip.chonnam.ac.kr</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Soo</namePart><namePart type="given">Hyung</namePart><namePart type="family">Kim</namePart><affiliation>Department of Computer Science, Chonnam National University, 300 Yongbong-dong, Buk-gu, 500-700, Kwangju, Korea</affiliation><affiliation>E-mail: shkim@iip.chonnam.ac.kr</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="conference [eBooks]" displayLabel="OriginalPaper"></genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2005</dateIssued><copyrightDate encoding="w3cdtf">2005</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: A lot of printed documents and books has been published and saved as a form of images in digital libraries. Searching for a specified query word on document images is a challenging problem. The OCR software helps the images to be converted to the machine readable documents to search a full context [1]. Another approach [1, 2] is image-based one, in which both the document images and word information are saved in a database. The searching procedure is accomplished through comparing the features of query word image with the word images extracted from document images in the database. In this paper, we propose an accurate and fast keyword spotting system for searching user-specified keyword in Hangul document images by a two-level image-to-image matching method.</abstract><relatedItem type="host"><titleInfo><title>Innovations in Applied Artificial Intelligence</title><subTitle>18th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2005, Bari, Italy, June 22-24, 2005. Proceedings</subTitle></titleInfo><name type="personal"><namePart type="given">Moonis</namePart><namePart type="family">Ali</namePart><affiliation>Department of Computer Science, Texas State University-San Marcos, Nueces 247, 601 University Drive, 78666-4616, San Marcos, TX, USA</affiliation><affiliation>E-mail: ma04@txstate.edu</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Floriana</namePart><namePart type="family">Esposito</namePart><affiliation>Dipartimento di Informatica, Università degli Studi di Bari</affiliation><affiliation>E-mail: esposito@di.uniba.it</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="Book Series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2005</copyrightDate><issuance>monographic</issuance></originInfo><subject><genre>Book Subject Collection</genre><topic authority="SpringerSubjectCodes" authorityURI="SUCO11645">Computer Science</topic></subject><subject><genre>Book Subject Group</genre><topic authority="SpringerSubjectCodes" authorityURI="I">Computer Science</topic><topic authority="SpringerSubjectCodes" authorityURI="I21017">Artificial Intelligence (incl. 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2005</accessCondition><recordInfo><recordContentSource>SPRINGER</recordContentSource><recordOrigin>Springer-Verlag Berlin Heidelberg, 2005</recordOrigin></recordInfo></mods></metadata><enrichments><istex:refBibTEI uri="https://api.istex.fr/document/0C6B637AAD6B5804D31CFF1B42F812FCD8F42C2B/enrichments/refBib"><teiHeader></teiHeader><text><front></front><body></body><back><listBibl><biblStruct xml:id="b0"><analytic><title level="a" type="main">The indexing and retrieval of document images: a survey</title><author><persName><forename type="first">D</forename><surname>Doermann</surname></persName></author></analytic><monogr><title level="j">Computer Vision and Image Understanding</title><imprint><biblScope unit="volume">70</biblScope><biblScope unit="issue">3</biblScope><biblScope unit="page" from="287" to="298"></biblScope><date type="published" when="1998"></date></imprint></monogr></biblStruct><biblStruct xml:id="b1"><analytic><title level="a" type="main">A keyword spotting system of korean document images</title><author><persName><forename type="first">I</forename><forename type="middle">S</forename><surname>Oh</surname></persName></author><author><persName><forename type="first">Y</forename><forename type="middle">S</forename><surname>Choi</surname></persName></author><author><persName><forename type="first">J</forename><forename type="middle">H</forename><surname>Yang</surname></persName></author><author><persName><forename type="first">S</forename><forename type="middle">H</forename><surname>Kim</surname></persName></author></analytic><monogr><title level="m">Proc. 5th International Conference on Asian Digital Libraries</title><meeting>. 5th International Conference on Asian Digital Libraries<address><addrLine>Singapore</addrLine></address></meeting><imprint><date type="published" when="2002-12"></date><biblScope unit="page">530</biblScope></imprint></monogr></biblStruct></listBibl></back></text></istex:refBibTEI></enrichments></istex></record>Pour manipuler ce 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