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.
This research was undertaken with support from Oxford University Press.
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© 1992 Springer-Verlag Berlin Heidelberg
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Carter, N.P., Bacon, R.A. (1992). Automatic Recognition of Printed Music. In: Baird, H.S., Bunke, H., Yamamoto, K. (eds) Structured Document Image Analysis. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-77281-8_21
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DOI: https://doi.org/10.1007/978-3-642-77281-8_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-77283-2
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