From Optical Music Recognition to Handwritten Music Recognition: A baseline

Arnau Baró, Pau Riba, Jorge Calvo-Zaragoza, Alicia Fornés

Research output: Contribution to journalArticleResearch

32 Citations (Scopus)


© 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.
Original languageEnglish
Pages (from-to)1-8
JournalPattern Recognition Letters
Publication statusPublished - 15 May 2019


  • Deep neural networks
  • Document image analysis and recognition
  • Handwritten music recognition
  • LSTM
  • Optical music recognition


Dive into the research topics of 'From Optical Music Recognition to Handwritten Music Recognition: A baseline'. Together they form a unique fingerprint.

Cite this