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The 2012 Music Scores Competitions: Staff Removal and Writer Identification

Abstract

Since there has been a growing interest in the analysis of handwritten music scores, we have tried to foster this interest by proposing in ICDAR and GREC two different competitions: Staff removal and Writer identification. Both competitions have been tested on the CVC-MUSCIMA database of handwritten music score images. In the corresponding ICDAR publication, we have described the ground-truth, the evaluation metrics, the participants’ methods and results. As a result of the discussions with attendees in ICDAR and GREC concerning our music competition, we decided to propose a new experiment for an extended competition. Thus, this paper is focused on this extended competition, describing the new set of images and analyzing the new results.

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Author information Authors and Affiliations

  1. Computer Vision Center - Dept. of Computer Science, Universitat Autònoma de Barcelona, Edifici O, 08193, Bellaterra, Spain

    Alicia Fornés, Anjan Dutta, Albert Gordo & Josep Lladós

Authors
  1. Alicia Fornés
  2. Anjan Dutta
  3. Albert Gordo
  4. Josep Lladós
Editor information Editors and Affiliations

  1. Department of Computer Science and Engineering, Chung-Ang University, 221 Heuksukdong, 156-756, Dongjakku, Seoul, Korea

    Young-Bin Kwon

  2. Laboratoire L3i, Université de La Rochelle, Avenue Michel Crépeau, 17042, La Rochelle Cedex 1, France

    Jean-Marc Ogier

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper Cite this paper

Fornés, A., Dutta, A., Gordo, A., Lladós, J. (2013). The 2012 Music Scores Competitions: Staff Removal and Writer Identification. In: Kwon, YB., Ogier, JM. (eds) Graphics Recognition. New Trends and Challenges. GREC 2011. Lecture Notes in Computer Science, vol 7423. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36824-0_17

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