• 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