A Holistic Methodology for Keyword Search in Historical Typewritten Documents
Identifieur interne : 000F78 ( Main/Exploration ); précédent : 000F77; suivant : 000F79A Holistic Methodology for Keyword Search in Historical Typewritten Documents
Auteurs : Basilis Gatos [Grèce] ; Thomas Konidaris [Grèce] ; Ioannis Pratikakis [Grèce] ; J. Perantonis [Grèce]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2006.
Abstract
Abstract: In this paper, we propose a novel holistic methodology for keyword search in historical typewritten documents combining synthetic data and user’s feedback. The holistic approach treats the word as a single entity and entails the recognition of the whole word rather than of individual characters. Our aim is to search for keywords typed by the user in a large collection of digitized typewritten historical documents. The proposed method is based on: (i) creation of synthetic image words; (ii) word segmentation using dynamic parameters; (iii) efficient hybrid feature extraction for each image word and (iv) a retrieval procedure that is optimized by user’s feedback. Experimental results prove the efficiency of the proposed approach.
Url:
DOI: 10.1007/11752912_52
Affiliations:
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Perantonis</name><affiliation wicri:level="1"><country xml:lang="fr">Grèce</country><wicri:regionArea>Computational Intelligence Laboratory, Institute of Informatics and Telecommunications, National Research Center "Demokritos", 153 10, Athens</wicri:regionArea><wicri:noRegion>Athens</wicri:noRegion></affiliation><affiliation wicri:level="1"><country wicri:rule="url">Grèce</country></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2006</date></imprint><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series><idno type="istex">344F7461BA01F38B834AB00188B5D770C8482305</idno><idno type="DOI">10.1007/11752912_52</idno><idno type="ChapterID">52</idno><idno type="ChapterID">Chap52</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: In this paper, we propose a novel holistic methodology for keyword search in historical typewritten documents combining synthetic data and user’s feedback. The holistic approach treats the word as a single entity and entails the recognition of the whole word rather than of individual characters. Our aim is to search for keywords typed by the user in a large collection of digitized typewritten historical documents. The proposed method is based on: (i) creation of synthetic image words; (ii) word segmentation using dynamic parameters; (iii) efficient hybrid feature extraction for each image word and (iv) a retrieval procedure that is optimized by user’s feedback. Experimental results prove the efficiency of the proposed approach.</div></front></TEI><affiliations><list><country><li>Grèce</li></country></list><tree><country name="Grèce"><noRegion><name sortKey="Gatos, Basilis" sort="Gatos, Basilis" uniqKey="Gatos B" first="Basilis" last="Gatos">Basilis Gatos</name></noRegion><name sortKey="Gatos, Basilis" sort="Gatos, Basilis" uniqKey="Gatos B" first="Basilis" last="Gatos">Basilis Gatos</name><name sortKey="Konidaris, Thomas" sort="Konidaris, Thomas" uniqKey="Konidaris T" first="Thomas" last="Konidaris">Thomas Konidaris</name><name sortKey="Konidaris, Thomas" sort="Konidaris, Thomas" uniqKey="Konidaris T" first="Thomas" last="Konidaris">Thomas Konidaris</name><name sortKey="Perantonis, J" sort="Perantonis, J" uniqKey="Perantonis J" first="J." last="Perantonis">J. Perantonis</name><name sortKey="Perantonis, J" sort="Perantonis, J" uniqKey="Perantonis J" first="J." last="Perantonis">J. 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