%0 Conference Proceedings
%T The ICDAR 2013 Music Scores Competition: Staff Removal
%A M. Visani
%A V.C.Kieu
%A Alicia Fornes
%A N.Journet
%B 12th International Conference on Document Analysis and Recognition
%D 2013
%@ 1520-5363
%F M. Visani2013
%O DAG; 600.045; 600.061
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=2338), last updated on Thu, 10 Nov 2016 12:11:47 +0100
%X The first competition on music scores that was organized at ICDAR in 2011 awoke the interest of researchers, who participated both at staff removal and writer identification tasks. In this second edition, we focus on the staff removal task and simulate a real case scenario: old music scores. For this purpose, we have generated a new set of images using two kinds of degradations: local noise and 3D distortions. This paper describes the dataset, distortion methods, evaluation metrics, the participant's methods and the obtained results.
%U http://refbase.cvc.uab.es/files/VKF2013.pdf
%U http://dx.doi.org/10.1109/ICDAR.2013.284
%P 1439-1443