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	Adria Rico and Alicia Fornes. 2017. Camera-based Optical Music Recognition using a Convolutional Neural Network. 12th IAPR International Workshop on Graphics Recognition.27–28. Abstract: Optical Music Recognition (OMR) consists in recognizing images of music scores. Contrary to expectation, the current OMR systems usually fail when recognizing images of scores captured by digital cameras and smartphones. In this work, we propose a camera-based OMR system based on Convolutional Neural Networks, showing promising preliminary results Keywords: optical music recognition; document analysis; convolutional neural network; deep learning Permanent link \| Save citation: RTF PDF LaTeX \| Export record: BibTeX Endnote ISI RIS Atom XML MODS XML ODF XML Word XML

Abstract: Optical Music Recognition (OMR) consists in recognizing images of music scores. Contrary to expectation, the current OMR systems usually fail when recognizing images of scores captured by digital cameras and smartphones. In this work, we propose a camera-based OMR system based on Convolutional Neural Networks, showing promising preliminary results

Keywords: optical music recognition; document analysis; convolutional neural network; deep learning

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