Optical recognition of music symbols: A comparative study
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/11328/2502 https://doi.org/doi.org/10.1007/s10032-009-0100-1 |
Resumo: | 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. |
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Optical recognition of music symbols: A comparative studyMusicPerformance evaluationSymbol recognitionDocument image processingOff-line recognitionMany 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.2019-01-03T17:03:26Z2019-01-032010-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfRebelo, A., Capela, G., & Cardoso, J. S. (2010). Optical recognition of music symbols: A comparative study. International Journal on Document Analysis and Recognition, 13(1), 19-31. Disponível no Repositório UPT, http://hdl.handle.net/11328/2502http://hdl.handle.net/11328/2502Rebelo, A., Capela, G., & Cardoso, J. S. (2010). Optical recognition of music symbols: A comparative study. International Journal on Document Analysis and Recognition, 13(1), 19-31. Disponível no Repositório UPT, http://hdl.handle.net/11328/2502http://hdl.handle.net/11328/2502https://doi.org/doi.org/10.1007/s10032-009-0100-1eng1433-2833https://link.springer.com/article/10.1007/s10032-009-0100-1http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessRebelo, AnaCapela, G.Cardoso, Jaime S.reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-16T02:12:23Zoai:repositorio.upt.pt:11328/2502Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:41:20.252673Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Optical recognition of music symbols: A comparative study |
title |
Optical recognition of music symbols: A comparative study |
spellingShingle |
Optical recognition of music symbols: A comparative study Rebelo, Ana Music Performance evaluation Symbol recognition Document image processing Off-line recognition |
title_short |
Optical recognition of music symbols: A comparative study |
title_full |
Optical recognition of music symbols: A comparative study |
title_fullStr |
Optical recognition of music symbols: A comparative study |
title_full_unstemmed |
Optical recognition of music symbols: A comparative study |
title_sort |
Optical recognition of music symbols: A comparative study |
author |
Rebelo, Ana |
author_facet |
Rebelo, Ana Capela, G. Cardoso, Jaime S. |
author_role |
author |
author2 |
Capela, G. Cardoso, Jaime S. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Rebelo, Ana Capela, G. Cardoso, Jaime S. |
dc.subject.por.fl_str_mv |
Music Performance evaluation Symbol recognition Document image processing Off-line recognition |
topic |
Music Performance evaluation Symbol recognition Document image processing Off-line recognition |
description |
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. |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010-01-01T00:00:00Z 2019-01-03T17:03:26Z 2019-01-03 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Rebelo, A., Capela, G., & Cardoso, J. S. (2010). Optical recognition of music symbols: A comparative study. International Journal on Document Analysis and Recognition, 13(1), 19-31. Disponível no Repositório UPT, http://hdl.handle.net/11328/2502 http://hdl.handle.net/11328/2502 Rebelo, A., Capela, G., & Cardoso, J. S. (2010). Optical recognition of music symbols: A comparative study. International Journal on Document Analysis and Recognition, 13(1), 19-31. Disponível no Repositório UPT, http://hdl.handle.net/11328/2502 http://hdl.handle.net/11328/2502 https://doi.org/doi.org/10.1007/s10032-009-0100-1 |
identifier_str_mv |
Rebelo, A., Capela, G., & Cardoso, J. S. (2010). Optical recognition of music symbols: A comparative study. International Journal on Document Analysis and Recognition, 13(1), 19-31. Disponível no Repositório UPT, http://hdl.handle.net/11328/2502 |
url |
http://hdl.handle.net/11328/2502 https://doi.org/doi.org/10.1007/s10032-009-0100-1 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1433-2833 https://link.springer.com/article/10.1007/s10032-009-0100-1 |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
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http://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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