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Symbol Recognition Contest: A Synthesis

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Graphics Recognition. Recent Advances and Perspectives (GREC 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3088))

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Abstract

In this paper, we present the synthesis of the first international symbol recognition contest, held during the fifth IAPR workshop on graphics recognition in Barcelona. We describe the framework of the contest (goals, kind of symbols, criteria of evaluation) and how the contest was organized. We expose in particular the way we have built the symbol database and which methods have been used to introduce noise in the model of the symbols, in order to evaluate the robustness of the recognition methods. The methods of the different participants are summarily described as well as the results obtained with these methods on the test images available during the contest. The evaluation protocol is presented, the results are analyzed and we conclude with some remarks for the next symbol recognition contest.

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Author information

Authors and Affiliations

  1. Centre de Visi per Computador, Edifici O, Campus UAB, 08193, Bellaterra (Cerdanyola), Barcelona, Spain

    Ernest Valveny

  2. Loria, 615, rue du jardin botanique, B.P. 101, 54602 Cedex, Villers-ls-Nancy, France

    Philippe Dosch

Authors
  1. Ernest Valveny
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  2. Philippe Dosch
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Editor information

Editors and Affiliations

  1. Computer Vision Center, Universitat Autònoma de Barcelona, Bellaterra, 08193, (Barcelona), Spain

    Josep Lladós

  2. Departmen Computer Science and Engineering, Chung-Ang University, 221 Heuksukdong, Dongjakku, Seoul, Korea

    Young-Bin Kwon

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Valveny, E., Dosch, P. (2004). Symbol Recognition Contest: A Synthesis. In: Lladós, J., Kwon, YB. (eds) Graphics Recognition. Recent Advances and Perspectives. GREC 2003. Lecture Notes in Computer Science, vol 3088. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25977-0_34

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  • DOI: https://doi.org/10.1007/978-3-540-25977-0_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22478-5

  • Online ISBN: 978-3-540-25977-0

  • eBook Packages: Springer Book Archive

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