© 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.
|Journal||Pattern Recognition Letters|
|Publication status||Published - 15 May 2019|
- Deep neural networks
- Document image analysis and recognition
- Handwritten music recognition
- Optical music recognition