Abstract
In this paper, a satisfactory method is described for the extraction of staff lines in which there are some inclinations, discontinuities, and curvatures. The extraction calls for four processes: (1) Extraction of specific points on a stave on vertical scan lines, (2) Connection of the points using DP matching, (3) Composition of stave groups using labeling, and (4) Extraction and adjustment of the edges of lines. The experiment resulted in an extraction rate of 99.4% for 71 printed music scores that included lines with some inclinations, discontinuities, and curvatures.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Blostein, D., Baird, H.: A Critical Survey of Music Image Analysis. in Structured Document Image Analysis, eds. Baird, H., Bunke, H., Yamamoto, K., Springer-Verlag (1992) 405–434
Fujinaga, I.: Optical Music Recognition Using Projections. Master’s thesis, McGill University, Faculty of Music, Montreal, Canada (1988)
Bainbridge, D., Bell, T.: The Challenge of Optical Music Recognition. Computers and the Humanities 35 (2001) 95–121
Kato, H., Inokuchi, S.: A Recognition System for Printed Piano Music Using Musical Knowledge and Constraints. in Structured Document Image Analysis, eds. Baird, H., Bunke, H., Yamamoto, K., Springer-Verlag (1992) 435–455
Miyao, H., Ejima, T., Miyahara, M., Kotani, K.: Symbol Recognition for Printed Piano Scores Based on Musical Knowledge. IEICE Trans., vol. J75-D-II,11 (1992) 1848–1855 (in Japanese)
Carter, N.P.: Automatic Recognition of Printed Music in the Context of Electronic Publishing. PhD thesis, University of Surrey, Depts. of Physics and Music (1989)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Miyao, H. (2002). Stave Extraction for Printed Music Scores. In: Yin, H., Allinson, N., Freeman, R., Keane, J., Hubbard, S. (eds) Intelligent Data Engineering and Automated Learning — IDEAL 2002. IDEAL 2002. Lecture Notes in Computer Science, vol 2412. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45675-9_85
Download citation
DOI: https://doi.org/10.1007/3-540-45675-9_85
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44025-3
Online ISBN: 978-3-540-45675-9
eBook Packages: Springer Book Archive