A new optical music recognition system based on combined neural network

dc.contributor.author Wen,CH en
dc.contributor.author Ana Maria Rebelo en
dc.contributor.author Zhang,J en
dc.contributor.author Jaime Cardoso en
dc.date.accessioned 2018-01-14T21:01:21Z
dc.date.available 2018-01-14T21:01:21Z
dc.date.issued 2015 en
dc.description.abstract Optical music recognition (OMR) is an important tool to recognize a scanned page of music sheet automatically, which has been applied to preserving music scores. In this paper, we propose a new OMR system to recognize the music symbols without segmentation. We present a new classifier named combined neural network (CNN) that offers superior classification capability. We conduct tests on fifteen pages of music sheets, which are real and scanned images. The tests show that the proposed method constitutes an interesting contribution to OMR. en
dc.identifier.uri http://repositorio.inesctec.pt/handle/123456789/6089
dc.identifier.uri http://dx.doi.org/10.1016/j.patrec.2015.02.002 en
dc.language eng en
dc.relation 4884 en
dc.relation 3889 en
dc.rights info:eu-repo/semantics/openAccess en
dc.title A new optical music recognition system based on combined neural network en
dc.type article en
dc.type Publication en
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
1.03 MB
Adobe Portable Document Format