Please use this identifier to cite or link to this item: http://hdl.handle.net/11328/2501
Title: A new optical music recognition system based on combined neural network
Authors: Wen, Cuihong
Rebelo, Ana
Zhang, Jing
Cardoso, Jaime S.
Keywords: Neural network
Optical music recognition
Image processing
Issue Date: 2015
Publisher: Elsevier
Citation: Wen, C., Rebelo, A., Zhang, J., & Cardoso, J. S. (2015). A new Optical Music Recognition system based on Combined Neural Network. Pattern Recognition Letters, 58, 1-7. Doi: 10.1016/j.patrec.2015.02.002. Disponível no Repositório UPT, http://hdl.handle.net/11328/2501
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.
URI: http://hdl.handle.net/11328/2501
ISSN: 0167-8655
Appears in Collections:INPP - Artigos em Revistas Internacionais / Papers in International Journals

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