Advertisement

Automatic Recognition of Printed Music

  • Nicholas P. Carter
  • Richard A. Bacon

Abstract

There is a need for an automatic recognition system for printed music scores. The work presented here forms the basis of an omnifont, size-independent system with significant tolerance of noise and rotation of the original image. A structural decomposition technique is used based on an original transformation of the line adjacency graph. An example of output is given in the form of a data file and its score reconstruction.

Keywords

Automatic Recognition Music Score Staff Line Vertical Link 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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. [1988]
    N. P. Carter, R. A. Bacon, and T. Messenger, “Acquisition, Representation and Reconstruction of Printed Music by Computer: A Review,” Computers and the Humanities, 22 (2), pp. 27–46, 1988.CrossRefGoogle Scholar
  2. [1989]
    N. P. Carter, Automatic Recognition of Printed Music in the Context of Electronic Publishing, Ph.D. dissertation, Univ. Surrey, 1989.Google Scholar
  3. [1988]
    A. T. Clarke, “Inexpensive Optical Character Recognition of Music Notation: A New Alternative for Publishers,” Proc. Computers in Music Conf., Lancaster, 1988.Google Scholar
  4. [1988]
    I. Fujinaga, Optical Music Recognition using Projections, M. A. thesis, McGill Univ., Montreal, 1988.Google Scholar
  5. [1990]
    W. B. Hewlett and Selfridge-Field, E., Computing in Musicology: A Directory of Research, Center for Computer Assisted Research in the Humanities, Menlo Park, CA, 1990.Google Scholar
  6. [1989]
    H. Katayosea and S. Inokuchi, “The Kansei Music System,” Computer Music J., 13 (4), pp. 72–77, 1989.CrossRefGoogle Scholar
  7. [1982]
    J. V. Mahoney, Automatic Analysis of Music Score Images, B. Sc. dissertation, MIT, Cambridge, MA, 1982.Google Scholar
  8. [1987]
    N. G. Martin, Towards Computer Recognition of the Printed Musical Score, B. Sc. dissertation, Thames Polytechnic, London, 1987.Google Scholar
  9. [1985]
    T. Matsushima et al., “Automated recognition system for musical score,” Bulletin of Science and Engineering Research Laboratory, Waseda Univ., 112, pp. 25–52, 1985.Google Scholar
  10. [1982]
    T. Pavlidis, Algorithms for Graphics and Image Processing, Computer Science Press, Rockville, MD, 1982.Google Scholar
  11. [1970]
    D. S. Prerau, Computer Pattern Recognition of Standard Engraved Music Notation, Ph.D. dissertation, MIT, 1970.Google Scholar
  12. [1967]
    D. H. Pruslin, Automatic Recognition of Sheet Music, Sc.D. dissertation, MIT, 1967.Google Scholar
  13. [1988]
    J. W. Roach and J. E. Tatum, “Using domain knowledge in low-level visual processing to interpret handwritten music: an experiment,” Pattern Recognition, 21 (1), pp. 33–44, 1988.CrossRefGoogle Scholar
  14. [1982]
    A. Tojo and H. Aoyama, “Automatic recognition of music score,” Proc. 6th ICPR, p. 1223, 1982.Google Scholar
  15. [1986]
    Tønnesland, S., SYMFONI: System for Notekoding, Ph.D. dissertation, Institute of Informatics, Oslo, Norway, 1986.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1992

Authors and Affiliations

  • Nicholas P. Carter
    • 1
  • Richard A. Bacon
    • 1
  1. 1.Department of PhysicsUniversity of SurreyGuildford, SurreyUK

Personalised recommendations