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A New Minimum Trees-Based Approach for Shape Matching with Improved Time Computing: Application to Graphical Symbols Recognition

  • Patrick Franco
  • Jean-Marc Ogier
  • Pierre Loonis
  • Rémy Mullot
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6020)

Abstract

Recently we have developed a model for shape description and matching. Based on minimum spanning trees construction and specifics stages like the mixture, it seems to have many desirable properties. Recognition invariance in front shift, rotated and noisy shape was checked through median scale tests related to GREC symbol reference database. Even if extracting the topology of a shape by mapping the shortest path connecting all the pixels seems to be powerful, the construction of graph induces an expensive algorithmic cost. In this article we discuss on the ways to reduce time computing. An alternative solution based on image compression concepts is provided and evaluated. The model no longer operates in the image space but in a compact space, namely the Discrete Cosine space. The use of block discrete cosine transform is discussed and justified. The experimental results led on the GREC2003 database show that the proposed method is characterized by a good discrimination power, a real robustness to noise with an acceptable time computing.

Keywords

Document analysis Graphics Recognition Region Based Shape Descriptor Feature extraction Minimum Spanning Tree Discrete Cosine Transform Image Compression 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Patrick Franco
    • 1
  • Jean-Marc Ogier
    • 1
  • Pierre Loonis
    • 2
  • Rémy Mullot
    • 1
  1. 1.Laboratoire Informatique, Image, Interaction (L3I)UPRES EA 2118, Université de La RochelleLa Rochelle Cedex 1France
  2. 2.Laboratoire Electronique, Informatique et Image (LE2I)UMR CNRS 5158, Université de BourgogneNevers cedexFrance

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