@InProceedings{AnjanDutta2010,
author="Anjan Dutta
and Umapada Pal
and Alicia Fornes
and Josep Llados",
title="An Efficient Staff Removal Technique from Printed Musical Documents",
booktitle="20th International Conference on Pattern Recognition",
year="2010",
pages="1965--1968",
abstract="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.",
optnote="DAG",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=1420), last updated on Wed, 19 Feb 2014 15:49:33 +0100",
isbn="978-1-4244-7542-1",
issn="1051-4651",
doi="10.1109/ICPR.2010.484"
}