Abstract
Since there has been a growing interest in the analysis of handwritten music scores, we have tried to foster this interest by proposing in ICDAR and GREC two different competitions: Staff removal and Writer identification. Both competitions have been tested on the CVC-MUSCIMA database of handwritten music score images. In the corresponding ICDAR publication, we have described the ground-truth, the evaluation metrics, the participants' methods and results. As a result of the discussions with attendees in ICDAR and GREC concerning our music competition, we decided to propose a new experiment for an extended competition. Thus, this paper is focused on this extended competition, describing the new set of images and analyzing the new results. © 2013 Springer-Verlag.
Author supplied keywords
Cite
CITATION STYLE
Fornés, A., Dutta, A., Gordo, A., & Lladós, J. (2013). The 2012 music scores competitions: Staff removal and writer identification. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7423 LNCS, pp. 173–186). https://doi.org/10.1007/978-3-642-36824-0_17
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
