TY  - CHAP
AU  - Alicia Fornes
AU  - V.C.Kieu
AU  - M. Visani
AU  - N.Journet
AU  - Anjan Dutta
ED  - B.Lamiroy
ED  - J.-M. Ogier
PY  - 2014//
TI  - The ICDAR/GREC 2013 Music Scores Competition: Staff Removal
T2  - LNCS
BT  - Graphics Recognition. Current Trends and Challenges
SP  - 207
EP  - 220
VL  - 8746
PB  - Springer Berlin Heidelberg
KW  - Competition
KW  - Graphics recognition
KW  - Music scores
KW  - Writer identification
KW  - Staff removal
N2  - 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.
SN  - 0302-9743
SN  - 978-3-662-44853-3
UR  - http://dx.doi.org/10.1007/978-3-662-44854-0_16
N1  - DAG; 600.077; 600.061
ID  - Alicia Fornes2014
ER  -