Please use this identifier to cite or link to this item: http://hdl.handle.net/11328/2488
Title: A connected path approach for staff detection on a music score
Authors: Cardoso, Jaime S.
Capela, Artur
Rebelo, Ana
Guedes, Carlos
Keywords: Music
Optical character recognition
Document image processing
Image analysis
Issue Date: 2008
Publisher: IEEE
Citation: Cardoso, J. S., Capela, A., Rebelo, A., & Guedes, C. (2008). A connected path approach for staff detection on a music score. In Proceedings of the International Conference on Image Processing (ICIP 2008), San Diego, California, 12-15 Oct.2008 (pp. 1005-1008). Disponível no Repositório UPT, http://hdl.handle.net/11328/2488
Abstract: The preservation of many music works produced in the past entails their digitalization and consequent accessibility in an easy-tomanage digital format. Carrying this task manually is very time consuming and error prone. While optical music recognition systems usually perform well on printed scores, the processing of handwritten musical scores by computers remain far from ideal. One of the fundamental stages to carry out this task is the staff line detection. In this paper a new method for the automatic detection of music staff lines based on a connected path approach is presented. Lines affected by curvature, discontinuities, and inclination are robustly detected. Experimental results show that the proposed technique consistently outperforms well-established algorithms.
URI: http://hdl.handle.net/11328/2488
Appears in Collections:REMIT - Comunicações a Congressos Internacionais / Papers in International Meetings

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