An Integrated Approach for Automatic Semantic Structure Extraction in Document Images

  • Margherita Berardi
  • Michele Lapi
  • Donato Malerba
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3163)

Abstract

In this paper we present an integrated approach for semantic structure extraction in document images. Document images are initially processed to extract both their layout and logical structures on the base of geometrical and spatial information. Then, textual content of logical components is employed for automatic semantic labeling of layout structures. To support the whole process different machine learning techniques are applied. Experimental results on a set of biomedical multi-page documents are discussed and future directions are drawn.

Keywords

Document Image Omission Error Layout Structure Logical Component Training Document 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Margherita Berardi
    • 1
  • Michele Lapi
    • 1
  • Donato Malerba
    • 1
  1. 1.Dipartimento di InformaticaUniversità degli Studi di BariBari

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