Distorted Music Score Recognition without Staffline Removal

This paper proposes a new approach for recognizing the primitive musical symbols in distorted music scores without the staff line removal. We try to overcome two main issues. The first problem is the difficult and unreliable removal of staff lines required as a pre-processing step for most of recognition systems. The second problem is the non-linear distortion of the music score images captured by digital cameras. At the beginning, we detect the locations of bar-lines on each staff and segment it into sub-areas which can be rectified into undistorted shapes by biquadratic transformation. Then, musical rules, template matching, run length coding and projection methods are employed to extract the musical note information without the application of staff removal. The proposed method is implemented on smart phones and shows promising results.