Please use this identifier to cite or link to this item: http://hdl.handle.net/11328/2485
Title: Robust staffline thickness and distance estimation in binary and gray-level music scores
Authors: Cardoso, Jaime S.
Rebelo, Ana
Keywords: Optical Music Recognition (OMR)
Document image processing
Image analysis
Issue Date: 2010
Publisher: IEEE
Citation: Cardoso, J. S., & Rebelo, A. (2010). Robust staffline thickness and distance estimation in binary and gray-level music scores. In 20th International Conference on Pattern Recognition (ICPR 2010), Istanbul, Turkey, 23-26 August 2010 (pp. 1-4). Disponível no Repositório UPT, http://hdl.handle.net/11328/2485
Abstract: The optical recognition of handwritten musical scores by computers remains far from ideal. Most OMR algorithms rely on an estimation of the staffline thickness and the vertical line distance within the same staff. Subsequent operation can use these values as references, dismissing the need for some predetermined threshold values. In this work we improve on previous conventional estimates for these two reference lengths. We start by proposing a new method for binarized music scores and then extend the approach for graylevel music scores. An experimental study with 50 images is used to assess the interest of the novel method.
URI: http://hdl.handle.net/11328/2485
Appears in Collections:REMIT - Comunicações a Congressos Internacionais / Papers in International Meetings

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