Reading and Learning

Adaptive Content Recognition

  • Andreas Dengel
  • Markus Junker
  • Anette Weisbecker

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2956)

Table of contents

  1. Front Matter
  2. Dirk Woitha, Dietmar Janich
    Pages 1-13
  3. Dirk Woitha, Dietmar Janich
    Pages 14-25
  4. Bernhard Frei, Marin Hund, Markus Schnitzlein
    Pages 26-36
  5. R. Rebmann, B. Michaelis, G. Krell, U. Seiffert, F. Püschel
    Pages 37-64
  6. Michael Boldt, Christopher Asp
    Pages 91-102
  7. Anja Brakensiek, Gerhard Rigoll
    Pages 103-122
  8. Elke Wilczok, Wolfgang Lellmann
    Pages 123-136
  9. Matthias Middendorf, Carsten Peust, Johannes Schacht
    Pages 153-165
  10. Bertin Klein, Andreas R. Dengel, Andreas Fordan
    Pages 166-186
  11. Hartmut Schäfer, Thomas Bayer, Klaus Kreuzer, Udo Miletzki, Marc-Peter Schambach, Matthias Schulte-Austum
    Pages 187-215
  12. Jens Drawehn, Christoph Altenhofen, Mirjana Stanišić-Petrović, Anette Weisbecker
    Pages 216-234
  13. Ulrich Bohnacker, Jürgen Franke, Heike Mogg-Schneider, Ingrid Renz
    Pages 235-251
  14. Christoph Altenhofen, Haigo R. Hofmann, Thomas Kieninger, Mirjana Stanišić-Petrović
    Pages 328-354
  15. Back Matter

About this book


The amounts of information that are ?ooding people both at the workplace and in private life have increased dramatically in the past ten years. The number of paper documents doubles every four years, and the amount of information stored on all data carriers every six years. New knowledge, however, increases at a considerably lower rate. Possibilities for automatic content recognition in various media and for the processing of documents are therefore becoming more important every day. Especially in economic terms, the e?cient handling of information, i.e., ?- ing the right information at the right time, is an invaluable resource for any enterprise, but it is particularly important for small- and medium-sized ent- prises. The market for document management systems, which in Europe had a volume of approximately 5 billion euros in 2000, will increase considerably over the next few years. The BMBF recognized this development at an early stage. As early as in 1995, it pooled national capabilities in this ?eld in order to support research on the automatic processing of information within the framework of a large collaborative project (READ) involving both industrial companies and research centres. Evaluation of the results led to the conclusion that research work had been successful, and, in a second phase, funding was provided for the colla- rative follow-up project Adaptive READ from 1999 to 2003. The completion of thesetwoimportantlong-termresearchprojectshascontributedsubstantiallyto improving the possibilities of content recognition and processing of handwritten, printed and electronic documents.


Fuzzy adaptive document processing adaptive reading algorithmic learning classification cognition color processing content recognition document analysis document recognition image processing learning optical character recognition proving recognition systems

Editors and affiliations

  • Andreas Dengel
    • 1
  • Markus Junker
    • 2
  • Anette Weisbecker
    • 3
  1. 1.Knowledge Management DepartmentGerman Research Center for Artificial Intelligence (DFKI) GmbHKaiserslauternGermany
  2. 2.German Research Center for Artificial Intelligence (DFKI)KaiserslauternGermany
  3. 3.Institute for Human Factors and Technology ManagementUniversity of StuttgartStuttgartGermany

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2004
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-21904-0
  • Online ISBN 978-3-540-24642-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site