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  1. International Journal of Document Analysis and Recognition (IJDAR)
  2. International Journal of Document Analysis and Recognition (IJDAR) : Volume 8
  3. International Journal of Document Analysis and Recognition (IJDAR) : Volume 8, Issue 2-3, June 2006
  4. Towards a theory of tables
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International Journal of Document Analysis and Recognition (IJDAR) : Volume 20
International Journal of Document Analysis and Recognition (IJDAR) : Volume 19
International Journal of Document Analysis and Recognition (IJDAR) : Volume 18
International Journal of Document Analysis and Recognition (IJDAR) : Volume 17
International Journal of Document Analysis and Recognition (IJDAR) : Volume 16
International Journal of Document Analysis and Recognition (IJDAR) : Volume 15
International Journal of Document Analysis and Recognition (IJDAR) : Volume 14
International Journal of Document Analysis and Recognition (IJDAR) : Volume 13
International Journal of Document Analysis and Recognition (IJDAR) : Volume 12
International Journal of Document Analysis and Recognition (IJDAR) : Volume 11
International Journal of Document Analysis and Recognition (IJDAR) : Volume 10
International Journal of Document Analysis and Recognition (IJDAR) : Volume 9
International Journal of Document Analysis and Recognition (IJDAR) : Volume 8
International Journal of Document Analysis and Recognition (IJDAR) : Volume 8, Issue 4, September 2006
International Journal of Document Analysis and Recognition (IJDAR) : Volume 8, Issue 2-3, June 2006
Special issue on detection and understanding of tables and forms for document processing applications
Table-processing paradigms: a research survey
Fourier–Mellin registration of line-delineated tabular document images
DMOS, a generic document recognition method: application to table structure analysis in a general and in a specific way
Towards a theory of tables
Detection and analysis of table of contents based on content association
Design of an end-to-end method to extract information from tables
A simple and effective table detection system from document images
Consensus-based table form recognition of low-quality historical documents
Table form document analysis based on the document structure grammar
Generalization of Frei and Chen's approach to extract the lines and edges of a digital image
International Journal of Document Analysis and Recognition (IJDAR) : Volume 8, Issue 1, April 2006
International Journal of Document Analysis and Recognition (IJDAR) : Volume 7
International Journal of Document Analysis and Recognition (IJDAR) : Volume 6
International Journal of Document Analysis and Recognition (IJDAR) : Volume 5
International Journal of Document Analysis and Recognition (IJDAR) : Volume 4
International Journal of Document Analysis and Recognition (IJDAR) : Volume 3
International Journal of Document Analysis and Recognition (IJDAR) : Volume 2
International Journal of Document Analysis and Recognition (IJDAR) : Volume 1

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Towards a theory of tables

Content Provider Springer Nature Link
Author Hurst, Matthew
Copyright Year 2006
Abstract Tables appearing in natural language documents provide a compact method for presenting relational information in an immediate and intuitive manner, while simultaneously organizing and indexing that information. Despite their ubiquity and obvious utility, tables have not received the same level of formal characterization enjoyed by sentential text. Rather, they are modeled in terms of geometry, simple hierarchies of strings and database-like relational structures. Tables have been the focus of a large volume of research in the document image analysis field and lately, have received particular attention from researchers interested in extracting information from non-trivial elements of web pages. This paper provides a framework for representing tables at both the semantic and structural levels. It presents a representation of the indexing structures present in tables and the relationship between these structures and the underlying categories.
Starting Page 123
Ending Page 131
Page Count 9
File Format PDF
ISSN 14332833
Journal International Journal of Document Analysis and Recognition (IJDAR)
Volume Number 8
Issue Number 2-3
e-ISSN 14332825
Language English
Publisher Springer-Verlag
Publisher Date 2006-03-24
Publisher Place Berlin, Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Table understanding Information extraction
Content Type Text
Resource Type Article
Subject Computer Science Applications Computer Vision and Pattern Recognition Software
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