Title :
Robust Staffline Thickness and Distance Estimation in Binary and Gray-Level Music Scores
Author :
Cardoso, Jaime S. ; Rebelo, Ana
Author_Institution :
Fac. de Eng., Univ. do Porto, Porto, Portugal
Abstract :
The optical recognition of handwritten musical scores by computers remains far from ideal. Most OMR algorithms rely on an estimation of the staff line 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 gray-level music scores. An experimental study with 50 images is used to assess the interest of the novel method.
Keywords :
handwritten character recognition; image recognition; music; binary music scores; distance estimation; gray-level music scores; handwritten musical scores; optical recognition; robust staffline thickness; threshold values; Algorithm design and analysis; Encoding; Estimation; Histograms; Image analysis; Pixel; Robustness; Optical music recognition; document image processing; image analysis;
Conference_Titel :
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-7542-1
DOI :
10.1109/ICPR.2010.458