CVC-MUSCIMA: a ground truth of handwritten music score images for writer identification and staff removal

The analysis of music scores has been an active research field in the last decades. However, there are no publicly available databases of handwritten music scores for the research community. In this paper, we present the CVC-MUSCIMA database and ground truth of handwritten music score images. The da...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	International journal on document analysis and recognition 2012-09, Vol.15 (3), p.243-251
Hauptverfasser:	Fornés, Alicia, Dutta, Anjan, Gordo, Albert, Lladós, Josep
Format:	Artikel
Sprache:	eng
Schlagworte:	Acoustics Applied sciences Artificial intelligence Computer Science Computer science control theory systems Exact sciences and technology Fundamental areas of phenomenology (including applications) Image Processing and Computer Vision Music and musical intruments Original Paper Pattern Recognition Pattern recognition. Digital image processing. Computational geometry Physics
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Beschreibung
Zusammenfassung:	The analysis of music scores has been an active research field in the last decades. However, there are no publicly available databases of handwritten music scores for the research community. In this paper, we present the CVC-MUSCIMA database and ground truth of handwritten music score images. The dataset consists of 1,000 music sheets written by 50 different musicians. It has been especially designed for writer identification and staff removal tasks. In addition to the description of the dataset, ground truth, partitioning, and evaluation metrics, we also provide some baseline results for easing the comparison between different approaches.
ISSN:	1433-2833 1433-2825
DOI:	10.1007/s10032-011-0168-2