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Link to original content: https://unpaywall.org/10.1007/3-540-61577-6
Advances in Structural and Syntactical Pattern Recognition: 6th International Workshop, SSPR' 96, Leipzig, Germany, August, 20 - 23, 1996, Proceedings | SpringerLink
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Advances in Structural and Syntactical Pattern Recognition

6th International Workshop, SSPR' 96, Leipzig, Germany, August, 20 - 23, 1996, Proceedings

  • Conference proceedings
  • © 1996

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1121)

Included in the following conference series:

Conference proceedings info: SSPR 1996.

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About this book

This book constitutes the refereed proceedings of the 6th International Workshop on Structural and Syntactical Pattern Recognition, SSPR '96, held in Leipzig, Germany in August 1996.
The 36 revised full papers included together with three invited papers were carefully selected from a total of 52 submissions. The papers are organized in topical sections on grammars and languages; morphology and mathematical approaches to pattern recognition; semantic nets, relational models and graph-based methods; 2D and 3D shape recognition; document image analysis and recognition; and handwritten and printed character recognition.

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Table of contents (39 papers)

Bibliographic Information

  • Book Title: Advances in Structural and Syntactical Pattern Recognition

  • Book Subtitle: 6th International Workshop, SSPR' 96, Leipzig, Germany, August, 20 - 23, 1996, Proceedings

  • Editors: Petra Perner, Patrick Wang, Azriel Rosenfeld

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/3-540-61577-6

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag GmbH Germany, part of Springer Nature 1996

  • Softcover ISBN: 978-3-540-61577-4Published: 07 August 1996

  • eBook ISBN: 978-3-540-70631-1Published: 06 July 2005

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: X, 426

  • Topics: Pattern Recognition, Image Processing and Computer Vision, Artificial Intelligence

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