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Staff Detection with Stable Paths

2009; IEEE Computer Society; Volume: 31; Issue: 6 Linguagem: Inglês

10.1109/tpami.2009.34

2160-9292

Jaime S. Cardoso, Artur Capela, Ana Rebelo, Carlos Guedes, Joaquim Pinto da Costa,

Music Technology and Sound Studies

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.