Skip to main content

Adaptive Layout Analysis of Document Images

  • Conference paper
  • First Online:
Foundations of Intelligent Systems (ISMIS 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2366))

Included in the following conference series:

Abstract

Layout analysis is the process of extracting a hierarchical structure describing the layout of a page. In the document processing system WISDOM++ the layout analysis is performed in two steps: firstly, the global analysis determines possible areas containing paragraphs, sections, columns, figures and tables, and secondly, the local analysis groups together blocks that possibly fall within the same area. The result of the local analysis process strongly depends on the quality of the results of the first step. In this paper we investigate the possibility of supporting the user during the correction of the results of the global analysis. This is done by allowing the user to correct the results of the global analysis and then by learning rules for layout correction from the sequence of user actions. Experimental results on a set of multi-page documents are reported.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Altamura O., Esposito F., & Malerba D.: Transforming paper documents into XML format with WISDOM++, Int. Journal on Document Analysis and Recognition, 4(1), pp. 2–17, 2001.

    Article  Google Scholar 

  2. Akindele O.T., & Belaïd A.: Construction of generic models of document structures using inference of tree grammars, Proc. of the 3rd Int. Conf. on Document Analysis and Recognition, IEEE Computer Society Press, pp. 206–209, 1995.

    Google Scholar 

  3. Dengel A.: Initial learning of document structures, Proc. of the 2nd Int. Conf. on Document Analysis and Recognition, IEEE Computer Society Press, pp. 86–90, 1993.

    Google Scholar 

  4. Dengel A., & Dubiel F.: Clustering and classification of document structure-A machine learning approach, Proc. of the 3rd Int. Conf. on Document Analysis and Recognition, IEEE Computer Society Press, pp. 587–591, 1995.

    Google Scholar 

  5. Esposito F., Malerba D., & Semeraro G.: A Knowledge-Based Approach to the Layout Analysis, Proc. of the 3rd Int. Conf. on Document Analysis and Recognition, IEEE Computer Society Press, pp. 466–471, 1995.

    Google Scholar 

  6. Esposito F., Malerba D., & Lisi F.A.: Machine learning for intelligent processing of printed documents, Journal of Intelligent Information Systems, 14(2/3), pp. 175–198, 2000.

    Article  Google Scholar 

  7. Esposito F., Malerba D., & Lisi F.A.: Induction of recursive theories in the normal ILP setting: issues and solutions, in J. Cussens and A. Frisch (Eds.), Inductive Logic Programming, Lecture Notes in Artificial Intelligence, 1866, pp. 93–111, Springer: Berlin, 2000.

    Chapter  Google Scholar 

  8. Kise K.: Incremental acquisition of knowledge about layout structures from examples of documents. Proc. of the 2nd Int. Conf. on Document Analysis and Recognition, IEEE Computer Society Press, pp. 668–671, 1993.

    Google Scholar 

  9. Malerba D., Esposito F., & Lisi F.A.: Learning recursive theories with ATRE, Proc. of the 13th European Conf. on Artificial Intelligence, John Wiley & Sons, pp. 435–439, 1998.

    Google Scholar 

  10. Srihari S.N., & Zack G.W.: Document Image Analysis. Proc. of the 8th Int. Conf. on Pattern Recognition, pp. 434–436, 1986.

    Google Scholar 

  11. Walischewski H.: Automatic knowledge acquisition for spatial document interpretation. Proc. of the 4th Int. Conf. on Document Analysis and Recognition, IEEE Computer Society Press, pp. 243–247, 1997.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Malerba, D., Esposito, F., Altamura, O. (2002). Adaptive Layout Analysis of Document Images. In: Hacid, MS., Raś, Z.W., Zighed, D.A., Kodratoff, Y. (eds) Foundations of Intelligent Systems. ISMIS 2002. Lecture Notes in Computer Science(), vol 2366. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48050-1_56

Download citation

  • DOI: https://doi.org/10.1007/3-540-48050-1_56

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43785-7

  • Online ISBN: 978-3-540-48050-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics