DocumentCode :
1634305
Title :
PDF-TREX: An Approach for Recognizing and Extracting Tables from PDF Documents
Author :
Oro, Ermelinda ; Ruffolo, Massimo
Author_Institution :
Dept. of Comput. & Syst. Sci., Univ. of Calabria, Rende, Italy
fYear :
2009
Firstpage :
906
Lastpage :
910
Abstract :
This paper presents PDF-TREX, an heuristic approach for table recognition and extraction from PDF documents.The heuristics starts from an initial set of basic content elements and aligns and groups them, in bottom-up way by considering only their spatial features, in order to identify tabular arrangements of information. The scope of the approach is to recognize tables contained in PDF documents as a 2-dimensional grid on a Cartesian plane and extract them as a set of cells equipped by 2-dimensional coordinates. Experiments, carried out on a dataset composed of tables contained in documents coming from different domains, shows that the approach is well performing in recognizing table cells.The approach aims at improving PDF document annotation and information extraction by providing an output that can be further processed for understanding table and document contents.
Keywords :
data visualisation; document image processing; image recognition; 2D Cartesian plane grid; PDF documents; PDF-TREX approach; table recognition and extraction; Councils; Data mining; Encoding; HTML; High performance computing; Humans; Layout; Text analysis; Visualization; XML; Document Analysis; Hierarchical Clustering; Information Extraction; Table Recognition and Extraction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on
Conference_Location :
Barcelona
ISSN :
1520-5363
Print_ISBN :
978-1-4244-4500-4
Electronic_ISBN :
1520-5363
Type :
conf
DOI :
10.1109/ICDAR.2009.12
Filename :
5277546
Link To Document :
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