Optical recognition of music symbols: A comparative study

dc.contributor.author Ana Maria Rebelo en
dc.contributor.author Guilherme Artur Capela en
dc.contributor.author Jaime Cardoso en
dc.date.accessioned 2017-11-16T12:50:20Z
dc.date.available 2017-11-16T12:50:20Z
dc.date.issued 2010 en
dc.description.abstract 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. en
dc.identifier.uri http://repositorio.inesctec.pt/handle/123456789/1802
dc.language eng en
dc.relation 4884 en
dc.relation 4858 en
dc.relation 3889 en
dc.rights info:eu-repo/semantics/openAccess en
dc.title Optical recognition of music symbols: A comparative study en
dc.type article en
dc.type Publication en