Keyword Spotting on Hangul Document Images Using Two-Level Image-to-Image Matching
Identifieur interne : 001210 ( Main/Exploration ); précédent : 001209; suivant : 001211Keyword Spotting on Hangul Document Images Using Two-Level Image-to-Image Matching
Auteurs : Cheol Park [Corée du Sud] ; Jeong Son [Corée du Sud] ; Bu Jeong [Corée du Sud] ; Hyung Kim [Corée du Sud]Source :
- 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
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream Istex, to step Corpus: 002460
- to stream Istex, to step Curation: 002296
- to stream Istex, to step Checkpoint: 000B19
- to stream Main, to step Merge: 001246
- to stream Main, to step Curation: 001210
Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct:series"><teiHeader><fileDesc><titleStmt><title xml:lang="en">Keyword Spotting on Hangul Document Images Using Two-Level Image-to-Image Matching</title>
<author><name sortKey="Park, Cheol" sort="Park, Cheol" uniqKey="Park C" first="Cheol" last="Park">Cheol Park</name>
</author>
<author><name sortKey="Son, Jeong" sort="Son, Jeong" uniqKey="Son J" first="Jeong" last="Son">Jeong Son</name>
</author>
<author><name sortKey="Jeong, Bu" sort="Jeong, Bu" uniqKey="Jeong B" first="Bu" last="Jeong">Bu Jeong</name>
</author>
<author><name sortKey="Kim, Hyung" sort="Kim, Hyung" uniqKey="Kim H" first="Hyung" last="Kim">Hyung Kim</name>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">ISTEX</idno>
<idno type="RBID">ISTEX:0C6B637AAD6B5804D31CFF1B42F812FCD8F42C2B</idno>
<date when="2005" year="2005">2005</date>
<idno type="doi">10.1007/11504894_12</idno>
<idno type="url">https://api.istex.fr/document/0C6B637AAD6B5804D31CFF1B42F812FCD8F42C2B/fulltext/pdf</idno>
<idno type="wicri:Area/Istex/Corpus">002460</idno>
<idno type="wicri:Area/Istex/Curation">002296</idno>
<idno type="wicri:Area/Istex/Checkpoint">000B19</idno>
<idno type="wicri:doubleKey">0302-9743:2005:Park C:keyword:spotting:on</idno>
<idno type="wicri:Area/Main/Merge">001246</idno>
<idno type="wicri:Area/Main/Curation">001210</idno>
<idno type="wicri:Area/Main/Exploration">001210</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Keyword Spotting on Hangul Document Images Using Two-Level Image-to-Image Matching</title>
<author><name sortKey="Park, Cheol" sort="Park, Cheol" uniqKey="Park C" first="Cheol" last="Park">Cheol Park</name>
<affiliation wicri:level="1"><country xml:lang="fr">Corée du Sud</country>
<wicri:regionArea>Department of Computer Science, Chonnam National University, 300 Yongbong-dong, Buk-gu, 500-700, Kwangju</wicri:regionArea>
<wicri:noRegion>Kwangju</wicri:noRegion>
</affiliation>
<affiliation wicri:level="1"><country wicri:rule="url">Corée du Sud</country>
</affiliation>
</author>
<author><name sortKey="Son, Jeong" sort="Son, Jeong" uniqKey="Son J" first="Jeong" last="Son">Jeong Son</name>
<affiliation wicri:level="1"><country xml:lang="fr">Corée du Sud</country>
<wicri:regionArea>Department of Computer Science, Chonnam National University, 300 Yongbong-dong, Buk-gu, 500-700, Kwangju</wicri:regionArea>
<wicri:noRegion>Kwangju</wicri:noRegion>
</affiliation>
<affiliation wicri:level="1"><country wicri:rule="url">Corée du Sud</country>
</affiliation>
</author>
<author><name sortKey="Jeong, Bu" sort="Jeong, Bu" uniqKey="Jeong B" first="Bu" last="Jeong">Bu Jeong</name>
<affiliation wicri:level="1"><country xml:lang="fr">Corée du Sud</country>
<wicri:regionArea>Department of Computer Science, Chonnam National University, 300 Yongbong-dong, Buk-gu, 500-700, Kwangju</wicri:regionArea>
<wicri:noRegion>Kwangju</wicri:noRegion>
</affiliation>
<affiliation wicri:level="1"><country wicri:rule="url">Corée du Sud</country>
</affiliation>
</author>
<author><name sortKey="Kim, Hyung" sort="Kim, Hyung" uniqKey="Kim H" first="Hyung" last="Kim">Hyung Kim</name>
<affiliation wicri:level="1"><country xml:lang="fr">Corée du Sud</country>
<wicri:regionArea>Department of Computer Science, Chonnam National University, 300 Yongbong-dong, Buk-gu, 500-700, Kwangju</wicri:regionArea>
<wicri:noRegion>Kwangju</wicri:noRegion>
</affiliation>
<affiliation wicri:level="1"><country wicri:rule="url">Corée du Sud</country>
</affiliation>
</author>
</analytic>
<monogr></monogr>
<series><title level="s">Lecture Notes in Computer Science</title>
<imprint><date>2005</date>
</imprint>
<idno type="ISSN">0302-9743</idno>
<idno type="eISSN">1611-3349</idno>
<idno type="ISSN">0302-9743</idno>
</series>
<idno type="istex">0C6B637AAD6B5804D31CFF1B42F812FCD8F42C2B</idno>
<idno type="DOI">10.1007/11504894_12</idno>
<idno type="ChapterID">12</idno>
<idno type="ChapterID">Chap12</idno>
</biblStruct>
</sourceDesc>
<seriesStmt><idno type="ISSN">0302-9743</idno>
</seriesStmt>
</fileDesc>
<profileDesc><textClass></textClass>
<langUsage><language ident="en">en</language>
</langUsage>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml: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.</div>
</front>
</TEI>
<affiliations><list><country><li>Corée du Sud</li>
</country>
</list>
<tree><country name="Corée du Sud"><noRegion><name sortKey="Park, Cheol" sort="Park, Cheol" uniqKey="Park C" first="Cheol" last="Park">Cheol Park</name>
</noRegion>
<name sortKey="Jeong, Bu" sort="Jeong, Bu" uniqKey="Jeong B" first="Bu" last="Jeong">Bu Jeong</name>
<name sortKey="Jeong, Bu" sort="Jeong, Bu" uniqKey="Jeong B" first="Bu" last="Jeong">Bu Jeong</name>
<name sortKey="Kim, Hyung" sort="Kim, Hyung" uniqKey="Kim H" first="Hyung" last="Kim">Hyung Kim</name>
<name sortKey="Kim, Hyung" sort="Kim, Hyung" uniqKey="Kim H" first="Hyung" last="Kim">Hyung Kim</name>
<name sortKey="Park, Cheol" sort="Park, Cheol" uniqKey="Park C" first="Cheol" last="Park">Cheol Park</name>
<name sortKey="Son, Jeong" sort="Son, Jeong" uniqKey="Son J" first="Jeong" last="Son">Jeong Son</name>
<name sortKey="Son, Jeong" sort="Son, Jeong" uniqKey="Son J" first="Jeong" last="Son">Jeong Son</name>
</country>
</tree>
</affiliations>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/OcrV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 001210 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 001210 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Ticri/CIDE |area= OcrV1 |flux= Main |étape= Exploration |type= RBID |clé= ISTEX:0C6B637AAD6B5804D31CFF1B42F812FCD8F42C2B |texte= Keyword Spotting on Hangul Document Images Using Two-Level Image-to-Image Matching }}
This area was generated with Dilib version V0.6.32. |