Automatic Table Detection in Document Images
Identifieur interne : 001372 ( Main/Merge ); précédent : 001371; suivant : 001373Automatic Table Detection in Document Images
Auteurs : Basilios Gatos [Grèce] ; Dimitrios Danatsas [Grèce] ; Ioannis Pratikakis [Grèce] ; J. Perantonis [Grèce]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2005.
Abstract
Abstract: In this paper, we propose a novel technique for automatic table detection in document images. Lines and tables are among the most frequent graphic, non-textual entities in documents and their detection is directly related to the OCR performance as well as to the document layout description. We propose a workflow for table detection that comprises three distinct steps: (i) image pre-processing; (ii) horizontal and vertical line detection and (iii) table detection. The efficiency of the proposed method is demonstrated by using a performance evaluation scheme which considers a great variety of documents such as forms, newspapers/magazines, scientific journals, tickets/bank cheques, certificates and handwritten documents.
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DOI: 10.1007/11551188_67
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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 Center for Scientific Research “Demokritos”, GR 15310, 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>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">CDC5539E3982AED7E4A948FB5FB8CE093908CC8F</idno><idno type="DOI">10.1007/11551188_67</idno><idno type="ChapterID">67</idno><idno type="ChapterID">Chap67</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 technique for automatic table detection in document images. Lines and tables are among the most frequent graphic, non-textual entities in documents and their detection is directly related to the OCR performance as well as to the document layout description. We propose a workflow for table detection that comprises three distinct steps: (i) image pre-processing; (ii) horizontal and vertical line detection and (iii) table detection. The efficiency of the proposed method is demonstrated by using a performance evaluation scheme which considers a great variety of documents such as forms, newspapers/magazines, scientific journals, tickets/bank cheques, certificates and handwritten documents.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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