Towards the Understanding of Printed Documents

  • Thomas Bayer
  • Jürgen Franke
  • Ulrich Kressel
  • Eberhard Mandler
  • Matthias Oberländer
  • Jürgen Schürmann


Document analysis aims at the transformation of data presented on paper and addressed to human comprehension into a computer-revisable form. The pixel representation of a scanned document must be converted into a structured set of symbolic entities, which are appropriate for the intended kind of computerized information processing. It can be argued that the achieved symbolic description level resembles the degree of understanding acquired by a document analysis system. This interpretation of the term ‘understanding’ shall be explained a little more deeply. An attempt shall be made to clarify the important question: “Up to what level can a machine really understand a given document?” Looking at the many problems still unsolved, this is indeed questionable.


Belief Function Viterbi Algorithm Evidence Theory Logical Object Basic Probability Assignment 
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 1992

Authors and Affiliations

  • Thomas Bayer
    • 1
  • Jürgen Franke
    • 1
  • Ulrich Kressel
    • 1
  • Eberhard Mandler
    • 1
  • Matthias Oberländer
    • 1
  • Jürgen Schürmann
    • 1
  1. 1.Research Center UlmDaimler-Benz AGUlmGermany

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