Optical music recognition for scores written in white mensural notation

  • Authors:

  • Lorenzo J. Tardón;Simone Sammartino;Isabel Barbancho;Verónica Gómez;Antonio Oliver

  • Affiliations:

  • Departamento de Ingeniería de Comunicaciones, E.T.S. Ingeniería de Telecomunicación, Universidad de Málaga, Málaga, Spain;Departamento de Ingeniería de Comunicaciones, E.T.S. Ingeniería de Telecomunicación, Universidad de Málaga, Málaga, Spain;Departamento de Ingeniería de Comunicaciones, E.T.S. Ingeniería de Telecomunicación, Universidad de Málaga, Málaga, Spain;Departamento de Ingeniería de Comunicaciones, E.T.S. Ingeniería de Telecomunicación, Universidad de Málaga, Málaga, Spain;Departamento de Ingeniería de Comunicaciones, E.T.S. Ingeniería de Telecomunicación, Universidad de Málaga, Málaga, Spain

  • Venue:
  • Journal on Image and Video Processing - Special issue on image and video processing for cultural heritage
  • Year:
  • 2009

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Abstract

An Optical Music Recognition (OMR) system especially adapted for handwritten musical scores of the XVII-th and the early XVIII-th centuries written in white mensural notation is presented. The system performs a complete sequence of analysis stages: the input is the RGB image of the score to be analyzed and, after a preprocessing that returns a black and white image with corrected rotation, the staves are processed to return a score without staff lines; then, a music symbol processing stage isolates the music symbols contained in the score and, finally, the classification process starts to obtain the transcription in a suitable electronic format so that it can be stored or played. This work will help to preserve our cultural heritage keeping the musical information of the scores in a digital format that also gives the possibility to perform and distribute the original music contained in those scores.