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Pawian — A Parallel Image Recognition System

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Intelligent Problem Solving. Methodologies and Approaches (IEA/AIE 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1821))

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Abstract

The Pawian* system is a knowledge-based image recognition system that uses parallel programming techniques on several system layers to reduce the recognition time factor. The high robustness provided by knowledge-based recognition is supported by data- and model-driven parallelism. Special search techniques and heuristics provide a high performance and good time reduction.

Pawian is an acronym of the German term Parallele Wissensbasierte Analyse

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References

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Author information

Authors and Affiliations

  1. Heinz Nixdorf Institute, University of Paderborn, 33095, Paderborn, Germany

    Oliver Hempel, Ulrich Büker & Georg Hartmann

Authors
  1. Oliver Hempel
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  2. Ulrich Büker
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  3. Georg Hartmann
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Editor information

Editors and Affiliations

  1. The Center for Advanced Computer Studies, University of Lousiana, 2 Rex Street, Lafayette, LA, 70504-4330, USA

    Rasiah Logananthara

  2. Department of Neural Information Processing, University of Ulm, Oberer Eselsberg, 89069, Ulm, Germany

    Günther Palm

  3. Department of Computer Science, Southwest Texas State University, 601 University Drive, San Marcos, TX, 78666-4616, USA

    Moonis Ali

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© 2000 Springer-Verlag Berlin Heidelberg

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Hempel, O., Büker, U., Hartmann, G. (2000). Pawian — A Parallel Image Recognition System. In: Logananthara, R., Palm, G., Ali, M. (eds) Intelligent Problem Solving. Methodologies and Approaches. IEA/AIE 2000. Lecture Notes in Computer Science(), vol 1821. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45049-1_60

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  • DOI: https://doi.org/10.1007/3-540-45049-1_60

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67689-8

  • Online ISBN: 978-3-540-45049-8

  • eBook Packages: Springer Book Archive

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