Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
An online handwritten music symbol recognition system
International Journal on Document Analysis and Recognition
A Comparative Study of Staff Removal Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Writer identification of Arabic handwriting documents using grapheme features
AICCSA '08 Proceedings of the 2008 IEEE/ACS International Conference on Computer Systems and Applications
AICCSA '08 Proceedings of the 2008 IEEE/ACS International Conference on Computer Systems and Applications
Staff Detection with Stable Paths
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optical recognition of music symbols: A comparative study
International Journal on Document Analysis and Recognition
A bag of notes approach to writer identification in old handwritten musical scores
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
A combination of features for symbol-independent writer identification in old music scores
International Journal on Document Analysis and Recognition
Bag of Characters and SOM Clustering for Script Recognition and Writer Identification
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
A Symbol-Dependent Writer Identification Approach in Old Handwritten Music Scores
ICFHR '10 Proceedings of the 2010 12th International Conference on Frontiers in Handwriting Recognition
Automatic identification of music notations
WEDELMUSIC'02 Proceedings of the Second international conference on Web delivering of music
The ICDAR 2011 Music Scores Competition: Staff Removal and Writer Identification
ICDAR '11 Proceedings of the 2011 International Conference on Document Analysis and Recognition
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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.