DocumentCode :
2141616
Title :
The ICDAR 2011 Music Scores Competition: Staff Removal and Writer Identification
Author :
Fornés, Alicia ; Dutta, Anjan ; Gordo, Albert ; Lladós, Josep
Author_Institution :
Dept. of Comput. Sci., Univ. Autonoma de Barcelona, Bellaterra, Spain
fYear :
2011
fDate :
18-21 Sept. 2011
Firstpage :
1511
Lastpage :
1515
Abstract :
In the last years, there has been a growing interest in the analysis of handwritten music scores. In this sense, our goal has been to foster the interest in the analysis of handwritten music scores by the proposal of two different competitions: Staff removal and Writer Identification. Both competitions have been tested on the CVC-MUSCIMA database: a ground-truth of handwritten music score images. This paper describes the competition details, including the dataset and ground-truth, the evaluation metrics, and a short description of the participants, their methods, and the obtained results.
Keywords :
handwritten character recognition; music; CVC-MUSCIMA database; ICDAR 2011 music scores competition; evaluation metrics; handwritten music score images; staff removal; writer identification; Databases; Educational institutions; Error analysis; Handwriting recognition; Measurement; Music; Support vector machines; competition; music scores; staff removal; writer identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition (ICDAR), 2011 International Conference on
Conference_Location :
Beijing
ISSN :
1520-5363
Print_ISBN :
978-1-4577-1350-7
Electronic_ISBN :
1520-5363
Type :
conf
DOI :
10.1109/ICDAR.2011.300
Filename :
6065250
Link To Document :
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