%0 Conference Proceedings
%T An Efficient Staff Removal Technique from Printed Musical Documents
%A Anjan Dutta
%A Umapada Pal
%A Alicia Fornes
%A Josep Llados
%B 20th International Conference on Pattern Recognition
%D 2010
%@ 1051-4651
%@ 978-1-4244-7542-1
%F Anjan Dutta2010
%O DAG
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=1420), last updated on Wed, 19 Feb 2014 15:49:33 +0100
%X Staff removal is an important preprocessing step of the Optical Music Recognition (OMR). The process aims to remove the stafflines from a musical document and retain only the musical symbols, later these symbols are used effectively to identify the music information. This paper proposes a simple but robust method to remove stafflines from printed musical scores. In the proposed methodology we have considered a staffline segment as a horizontal linkage of vertical black runs with uniform height. We have used the neighbouring properties of a staffline segment to validate it as a true segment. We have considered the dataset along with the deformations described in for evaluation purpose. From experimentation we have got encouraging results.
%U http://dx.doi.org/10.1109/ICPR.2010.484
%P 1965–1968