Primitive Segmentation in Old Handwritten Music Scores

  • Alicia Fornés
  • Josep Lladós
  • Gemma Sánchez
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3926)


Optical Music Recognition consists in the identification of music information from images of scores. In this paper, we propose a method for the early stages of the recognition: segmentation of staff lines and graphical primitives in handwritten scores. After introducing our work with modern musical scores (where projections and Hough Transform are effectively used), an approach to deal with ancient handwritten scores is exposed. The recognition of such these old scores is more difficult due to paper degradation and the lack of a standard in musical notation. Our method has been tested with several scores of 19th century with high performance rates.


Zernike Moment Hough Transform Grammar Rule High Performance Rate Musical Symbol 
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

  • Alicia Fornés
    • 1
  • Josep Lladós
    • 1
  • Gemma Sánchez
    • 1
  1. 1.Computer Vision Center/Computer Science DepartmentBellaterra (Cerdanyola), BarcelonaSpain

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