DAN: An Automatic Segmentation and Classification Engine for Paper Documents

  • L. Cinque
  • S. Levialdi
  • A. Malizia
  • F. De Rosa
Conference paper
First Online:
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2423)

Abstract

The paper documents recognition is fundamental for office automation becoming every day a more powerful tool in those fields where information is still on paper. Document recognition follows from data acquisition, from both journals, and entire books in order to transform them in digital objects. We present a new system DAN (Document Analysis on Network) for Document recognition that follows the Open Source methodologies, XML description for documents segmentation and classification, which turns to be beneficial in terms of classification precision, and general-purpose availability.

Keywords

Automatic Segmentation Document Image Text Region Document Image Analysis Document Recognition 
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 2002

Authors and Affiliations

  • L. Cinque
    • 1
  • S. Levialdi
    • 1
  • A. Malizia
    • 1
  • F. De Rosa
    • 1
  1. 1.Dept. of Information ScienceUniversita’ “La Sapienza”RomaItaly

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