Reading and Learning

1. Front Matter

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2. Error Tolerant Color Deskew

   • Dirk Woitha, Dietmar Janich

   Pages 1-13

3. Adaptive Threshold

   • Dirk Woitha, Dietmar Janich

   Pages 14-25

4. Neighbourhood Related Color Segmentation Based on a Fuzzy Color Classification TooL

   • Bernhard Frei, Marin Hund, Markus Schnitzlein

   Pages 26-36

5. Improving Image Processing Systems by Artificial Neural Networks

   • R. Rebmann, B. Michaelis, G. Krell, U. Seiffert, F. Püschel

   Pages 37-64

6. Adaptive Segmentation of Multicoloured Documents without a Marked Background

   • G. Eberhardt, S. Römer, J. Saedler

   Pages 65-90

7. Recognition of Short Handwritten Texts

   • Michael Boldt, Christopher Asp

   Pages 91-102

8. Handwritten Address Recognition Using Hidden Markov Models

   • Anja Brakensiek, Gerhard Rigoll

   Pages 103-122

9. Adaptive Combination of Commercial OCR Systems

   • Elke Wilczok, Wolfgang Lellmann

   Pages 123-136

10. Component-Based Software Engineering Methods for Systems in Document Recognition, Analysis, and Understanding

    • Oliver Höß, Oliver Strauß, Anette Weisbecker

    Pages 137-152

11. A Component-Based Framework for Recognition Systems

    • Matthias Middendorf, Carsten Peust, Johannes Schacht

    Pages 153-165

12. smartFIX: An Adaptive System for Document Analysis and Understanding

    • Bertin Klein, Andreas R. Dengel, Andreas Fordan

    Pages 166-186

13. How Postal Address Readers Are Made Adaptive

    • Hartmut Schäfer, Thomas Bayer, Klaus Kreuzer, Udo Miletzki, Marc-Peter Schambach, Matthias Schulte-Austum

    Pages 187-215

14. A Tool for Semi-automatic Document Reengineering

    • Jens Drawehn, Christoph Altenhofen, Mirjana Stanišić-Petrović, Anette Weisbecker

    Pages 216-234

15. Inspecting Document Collections

    • Ulrich Bohnacker, Jürgen Franke, Heike Mogg-Schneider, Ingrid Renz

    Pages 235-251

16. Introducing Query Expansion Methods for Collaborative Information Retrieval

    • Armin Hust

    Pages 252-280

17. Improving Document Transformation Techniques with Collaborative Learned Term-Based Concepts

    • Stefan Klink

    Pages 281-305

18. Passage Retrieval Based on Density Distributions of Terms and Its Applications to Document Retrieval and Question Answering

    • Koichi Kise, Markus Junker, Andreas Dengel, Keinosuke Matsumoto

    Pages 306-327

19. Results of a Survey about the Use of Tools in the Area of Document Management

    • Christoph Altenhofen, Haigo R. Hofmann, Thomas Kieninger, Mirjana Stanišić-Petrović

    Pages 328-354

20. Back Matter

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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

• Knowledge Management Department, German Research Center for Artificial Intelligence (DFKI) GmbH, Kaiserslautern, Germany

  Andreas Dengel

• German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany

  Markus Junker

• Institute for Human Factors and Technology Management, University of Stuttgart, Stuttgart, Germany

  Anette Weisbecker

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