OMR of early plainchant manuscripts in square notation: A two-stage system

Carolina Ramirez*, Jun Ohya

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


While Optical Music Recognition (OMR) of modern printed and handwritten documents is considered a solved problem, with many commercial systems available today, the OMR of ancient musical manuscripts still remains an open problem. In this paper we present a system for the OMR of degraded western plainchant manuscripts in square notation from the XIV to XVI centuries. The system has two main blocks, the first one deals with symbol extraction and recognition, while the second one acts as an error detection stage for the first block outputs. For symbol extraction we use widely known image-processing techniques, such as Sobel filtering and Hough Transform, and SVM for classification. The error detection stage is implemented with a hidden Markov model (HMM), which takes advantage of a priori knowledge for this specific kind of music.

Original languageEnglish
Title of host publicationProceedings of SPIE-IS and T Electronic Imaging - Document Recognition and Retrieval XVIII
Publication statusPublished - 2011
EventDocument Recognition and Retrieval XVIII - San Francisco, CA, United States
Duration: 2011 Jan 262011 Jan 27

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X


ConferenceDocument Recognition and Retrieval XVIII
Country/TerritoryUnited States
CitySan Francisco, CA


  • Degraded document analysis
  • HMM
  • OCR
  • OMR
  • SVM
  • binarization
  • handwritten music scores

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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