An adaptive staff line removal in music score images

This paper proposes an adaptive staff line removal method for music score images. The staff line removal is a key procedure in Optical Music Recognition (OMR) before musical symbol segmentation and classification. The proposed method consists of four main procedures, i.e., ROI(Region of Interest) selection, candidate point extraction, rotation correction and staff line removal. It selects a ROI, extracts candidate points in the selected ROI and estimates rotation angle with these candidate points. After rotation correction, the staff line width is estimated using horizontal projection and the staff lines are removed correspondingly. Extensive experiments show that the proposed method is robust for both printed and scanned music score images.