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An Efficient Staff Removal Approach from Printed Musical Documents
Conference proceeding

An Efficient Staff Removal Approach from Printed Musical Documents

Anjan Dutta, Umapada Pal, Alicia Fornes and Josep Llados
2010 20th International Conference on Pattern Recognition, pp.1965-1968
08/2010

Abstract

Computer vision Couplings Emulation Error analysis Image segmentation musical scores OMR Pattern recognition Pixel staff removal staffline staffline height staffline segments staffspace height
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.

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