Writer recognition on arabic handwritten documents
ICISP'12 Proceedings of the 5th international conference on Image and Signal Processing
Writer identification in handwritten musical scores with bags of notes
Pattern Recognition
The 2012 music scores competitions: staff removal and writer identification
GREC'11 Proceedings of the 9th international conference on Graphics Recognition: new trends and challenges
Automatic stave discovery for musical facsimiles
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part IV
Text-independent writer recognition using multi-script handwritten texts
Pattern Recognition Letters
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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.