• DocumentCode
    2141616
  • Title

    The ICDAR 2011 Music Scores Competition: Staff Removal and Writer Identification

  • Author

    Fornés, Alicia ; Dutta, Anjan ; Gordo, Albert ; Lladós, Josep

  • Author_Institution
    Dept. of Comput. Sci., Univ. Autonoma de Barcelona, Bellaterra, Spain
  • fYear
    2011
  • fDate
    18-21 Sept. 2011
  • Firstpage
    1511
  • Lastpage
    1515
  • Abstract
    In the last years, there has been a growing interest in the analysis of handwritten music scores. In this sense, our goal has been to foster the interest in the analysis of handwritten music scores by the proposal of two different competitions: Staff removal and Writer Identification. Both competitions have been tested on the CVC-MUSCIMA database: a ground-truth of handwritten music score images. This paper describes the competition details, including the dataset and ground-truth, the evaluation metrics, and a short description of the participants, their methods, and the obtained results.
  • Keywords
    handwritten character recognition; music; CVC-MUSCIMA database; ICDAR 2011 music scores competition; evaluation metrics; handwritten music score images; staff removal; writer identification; Databases; Educational institutions; Error analysis; Handwriting recognition; Measurement; Music; Support vector machines; competition; music scores; staff removal; writer identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition (ICDAR), 2011 International Conference on
  • Conference_Location
    Beijing
  • ISSN
    1520-5363
  • Print_ISBN
    978-1-4577-1350-7
  • Electronic_ISBN
    1520-5363
  • Type

    conf

  • DOI
    10.1109/ICDAR.2011.300
  • Filename
    6065250