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Issue No.06 - June (2009 vol.31)
pp: 1134-1139
Artur Capela , INESC Porto, Universidade do Porto, Porto
Ana Rebelo , INESC Porto, Universidade do Porto, Porto
Carlos Guedes , INESC, Escola Superior de Música e Artes do Espectáculo, Porto
Jaime dos Santos Cardoso , INESC Porto, Universidade do Porto, Porto
ABSTRACT
The preservation of musical works produced in the past requires their digitalization and transformation into a machine-readable format. The processing of handwritten musical scores by computers remains far from ideal. One of the fundamental stages to carry out this task is the staff line detection. We investigate a general-purpose, knowledge-free method for the automatic detection of music staff lines based on a stable path approach. Lines affected by curvature, discontinuities, and inclination are robustly detected. Experimental results show that the proposed technique consistently outperforms well-established algorithms.
INDEX TERMS
optical character recognition, document image processing, image analysis, optical music recognition
CITATION
Artur Capela, Ana Rebelo, Carlos Guedes, Jaime dos Santos Cardoso, "Staff Detection with Stable Paths", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.31, no. 6, pp. 1134-1139, June 2009, doi:10.1109/TPAMI.2009.34
REFERENCES
[1] J.S. Cardoso, A. Capela, A. Rebelo, and C. Guedes, “A Connected Path Approach for Staff Line Detection,” Proc. Int'l Conf. Image Processing, to appear.
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