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Music Manuscript Tracing

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Book cover Graphics Recognition Algorithms and Applications (GREC 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2390))

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Abstract

This paper presents an ongoing project working on an optical handwritten music manuscript recognition system. A brief background of Optical Music Recognition (OMR) is presented, together with a discussion on some of the main obstacles in this domain. An earlier OMR prototype for printed music scores is described, with illustrations of the low-level pre-processing and segmentation routines, followed by a discussion on its limitations for handwritten manuscripts processing, which led to the development of a stroke-based segmentation approach using mathematical morphology. The pre-processing sub-systems consist of a list of automated processes, including thresholding, deskewing, basic layout analysis and general normalization parameters such as the stave line thickness and spacing. High-level domain knowledge enhancements, output format and future directions are outlined.

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Author information

Authors and Affiliations

  1. Interdisciplinary Centre for Scientific Research in Music School of Music & School of Computing, University of Leeds, Leeds, LS2 9JT, UK

    Kia Ng

Authors
  1. Kia Ng
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Editor information

Editors and Affiliations

  1. Computing and Information Science, Queen’s University, Kingston, Ontario, Canada, K7L 3N6

    Dorothea Blostein

  2. Department of Computer Engineering, Chung-Ang University, Seoul, 156-756, South Korea

    Young-Bin Kwon

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© 2002 Springer-Verlag Berlin Heidelberg

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Ng, K. (2002). Music Manuscript Tracing. In: Blostein, D., Kwon, YB. (eds) Graphics Recognition Algorithms and Applications. GREC 2001. Lecture Notes in Computer Science, vol 2390. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45868-9_29

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  • DOI: https://doi.org/10.1007/3-540-45868-9_29

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44066-6

  • Online ISBN: 978-3-540-45868-5

  • eBook Packages: Springer Book Archive

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