%0 Book Section %T The ICDAR/GREC 2013 Music Scores Competition: Staff Removal %A Alicia Fornes %A V.C.Kieu %A M. Visani %A N.Journet %A Anjan Dutta %E B.Lamiroy %E J.-M. Ogier %B Graphics Recognition. Current Trends and Challenges %D 2014 %V 8746 %I Springer Berlin Heidelberg %@ 0302-9743 %@ 978-3-662-44853-3 %F Alicia Fornes2014 %O DAG; 600.077; 600.061 %O exported from refbase (http://refbase.cvc.uab.es/show.php?record=2581), last updated on Wed, 16 Dec 2015 10:49:36 +0100 %X The first competition on music scores that was organized at ICDAR and GREC in 2011 awoke the interest of researchers, who participated in both staff removal and writer identification tasks. In this second edition, we focus on the staff removal task and simulate a real case scenario concerning old and degraded music scores. For this purpose, we have generated a new set of semi-synthetic images using two degradation models that we previously introduced: local noise and 3D distortions. In this extended paper we provide an extended description of the dataset, degradation models, evaluation metrics, the participant’s methods and the obtained results that could not be presented at ICDAR and GREC proceedings due to page limitations. %K Competition %K Graphics recognition %K Music scores %K Writer identification %K Staff removal %U http://dx.doi.org/10.1007/978-3-662-44854-0_16 %P 207-220