TY - JOUR
T1 - From Optical Music Recognition to Handwritten Music Recognition: A baseline
AU - Baró, Arnau
AU - Riba, Pau
AU - Calvo-Zaragoza, Jorge
AU - Fornés, Alicia
PY - 2019/5/15
Y1 - 2019/5/15
N2 - © 2019 Elsevier B.V. Optical Music Recognition (OMR) is the branch of document image analysis that aims to convert images of musical scores into a computer-readable format. Despite decades of research, the recognition of handwritten music scores, concretely the Western notation, is still an open problem, and the few existing works only focus on a specific stage of OMR. In this work, we propose a full Handwritten Music Recognition (HMR) system based on Convolutional Recurrent Neural Networks, data augmentation and transfer learning, that can serve as a baseline for the research community.
AB - © 2019 Elsevier B.V. Optical Music Recognition (OMR) is the branch of document image analysis that aims to convert images of musical scores into a computer-readable format. Despite decades of research, the recognition of handwritten music scores, concretely the Western notation, is still an open problem, and the few existing works only focus on a specific stage of OMR. In this work, we propose a full Handwritten Music Recognition (HMR) system based on Convolutional Recurrent Neural Networks, data augmentation and transfer learning, that can serve as a baseline for the research community.
KW - Deep neural networks
KW - Document image analysis and recognition
KW - Handwritten music recognition
KW - LSTM
KW - Optical music recognition
UR - http://www.mendeley.com/research/optical-music-recognition-handwritten-music-recognition-baseline
U2 - 10.1016/j.patrec.2019.02.029
DO - 10.1016/j.patrec.2019.02.029
M3 - Article
SN - 0167-8655
VL - 123
SP - 1
EP - 8
JO - Pattern Recognition Letters
JF - Pattern Recognition Letters
ER -