Primitive Segmentation in Old Handwritten Music Scores
Optical Music Recognition consists in the identification of music information from images of scores. In this paper, we propose a method for the early stages of the recognition: segmentation of staff lines and graphical primitives in handwritten scores. After introducing our work with modern musical scores (where projections and Hough Transform are effectively used), an approach to deal with ancient handwritten scores is exposed. The recognition of such these old scores is more difficult due to paper degradation and the lack of a standard in musical notation. Our method has been tested with several scores of 19th century with high performance rates.
KeywordsZernike Moment Hough Transform Grammar Rule High Performance Rate Musical Symbol
Unable to display preview. Download preview PDF.
- 4.Kato, H., Inokuchi, S.: The Recognition System for Printed Piano Music Using Musical Knowledge and Constraints. In: Proceedings of the IAPR Workshop on Syntactic and Structural Pattern Recognition, Murray Hill, New Jersey (1990)Google Scholar
- 5.Niblack, W.: An Introduction to Digital Image Processing, pp. 115–116. Prentice Hall, Englewood Cliffs (1986)Google Scholar
- 7.Trier, Ø.D.: Goal-directed Evaluation of Binarization Methods. Proceedings of IEEE Transactions on Pattern Analysis and Machine Intelligence 17(12) (1995)Google Scholar
- 8.Fornés, A.: Analysis of Old Handwritten Musical Scores, Master’s Thesis, Universitat Autònoma de Barcelona, Spain (2005)Google Scholar