onNote: playing printed music scores as a musical instrument
Proceedings of the 24th annual ACM symposium on User interface software and technology
Note symbol recognition for music scores
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part II
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
Music with harmony: chord separation and recognition in printed music score images
Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication
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Many musical works produced in the past are still currently available only as original manuscripts or as photocopies. The preservation of these works requires their digitalization and transformation into a machine-readable format. However, and despite the many research activities on optical music recognition (OMR), the results for handwritten musical scores are far from ideal. Each of the proposed methods lays the emphasis on different properties and therefore makes it difficult to evaluate the efficiency of a proposed method. We present in this article a comparative study of several recognition algorithms of music symbols. After a review of the most common procedures used in this context, their respective performances are compared using both real and synthetic scores. The database of scores was augmented with replicas of the existing patterns, transformed according to an elastic deformation technique. Such transformations aim to introduce invariances in the prediction with respect to the known variability in the symbols, particularly relevant on handwritten works. The following study and the adopted databases can constitute a reference scheme for any researcher who wants to confront a new OMR algorithm face to well-known ones.