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
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The music scores of 18th century and early were produced only in manual way. The important problem of the current registration of old historical music scores lays in the identification of corresponding writer, that means to estimate who did the notation write or draw. We are developing an efficient identification of a writer's hand. This identification is based on the automated image analysis approach. The theoretical manual identification is been developing at the Institute for Musicology at the University of Rostock. First tests of an analogue approach were applied on chosen music notations. These tests indicate that the recognition problem can be sufficiently solved only by computer-aided assistance. Our research activities are concentrated on the development of an automated identification of writers by analysing of notation graphic features. In our article we describe an approach for the automated image analysis and understanding as applied to digitised music scores. This approach is aimed to solve the automated identification of writers as a result of digital music notation matching.