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A Constraint-based Approach to Table Structure Derivation
Edinburgh, Scotland August 03-August 06
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDAR.2003.1227792Seventh International Conference on D ...
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Matthew Hurst, "A Constraint-based Approach to Table Structure Derivation," Document Analysis and Recognition, International Conference on, vol. 2, pp. 911, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 2, 2003.
 
 
BibTex
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@article{ 10.1109/ICDAR.2003.1227792,
author = {Matthew Hurst},
title = {A Constraint-based Approach to Table Structure Derivation},
journal ={Document Analysis and Recognition, International Conference on},
volume = {2},
year = {2003},
isbn = {0-7695-1960-1},
pages = {911},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2003.1227792},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Document Analysis and Recognition, International Conference on
TI - A Constraint-based Approach to Table Structure Derivation
SN - 0-7695-1960-1
SP
EP
A1 - Matthew Hurst,
PY - 2003
KW - null
VL - 2
JA - Document Analysis and Recognition, International Conference on
ER -
 
Matthew Hurst, Intelliseek, Inc.
This paper presents an approach to deriving an abstract geometric model of a table from a physical representation. The technique developed uses a graph of constraints between cells which must be satisfied in order to determine their relative horizontal and vertical position. The method is evaluated with a test set of tables drawn from US Securities and Exchange Commission (SEC) filings.
Citation:
Matthew Hurst, "A Constraint-based Approach to Table Structure Derivation," icdar, vol. 2, pp.911, Seventh International Conference on Document Analysis and Recognition (ICDAR'03) - Volume 2, 2003
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