TY  - CONF
AU  - Anjan Dutta
AU  - Umapada Pal
AU  - Alicia Fornes
AU  - Josep Llados
A2  - ICPR
PY  - 2010//
TI  - An Efficient Staff Removal Technique from Printed Musical Documents
BT  - 20th International Conference on Pattern Recognition
SP  - 1965–1968
N2  - 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.
SN  - 1051-4651
SN  - 978-1-4244-7542-1
UR  - http://dx.doi.org/10.1109/ICPR.2010.484
N1  - DAG
ID  - Anjan Dutta2010
ER  -