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A Generic Description of the Concept Lattices’ Classifier: Application to Symbol Recognition

  • Stéphanie Guillas
  • Karell Bertet
  • Jean-Marc Ogier
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3926)

Abstract

In this paper, we present the problem of noisy images recognition and in particular the stage of primitives selection in a classification process. We suppose that segmentation and statistical features extraction on documentary images are realized. We describe precisely the use of concept lattice and compare it with a decision tree in a recognition process. From the experimental results, it appears that concept lattice is more adapted to the context of noisy images.

Keywords

Decision Tree Recognition Rate Noisy Image Concept Lattice Formal Concept Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Stéphanie Guillas
    • 1
  • Karell Bertet
    • 1
  • Jean-Marc Ogier
    • 1
  1. 1.L3IUniversité de La RochelleLa RochelleFrance

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