• DocumentCode
    2736335
  • Title

    The study and prototype system of printed music recognition

  • Author

    Genfang, Chen ; Shunren, Xia

  • Author_Institution
    Dept. of Comput., Hangzhou Teachers Coll., China
  • Volume
    2
  • fYear
    2003
  • fDate
    14-17 Dec. 2003
  • Firstpage
    1002
  • Abstract
    Optical Music Recognition (OMR) is the automatic recognition of a scanned page of printed music notation by computer. A new approach to this pattern recognition problem is presented in this paper. The concept of direction number has been defined according to the musical notation´s statistic and structural characteristic, and then make use of mathematical morphology theory to process musical score image and recognize musical information. Specialized algorithms are used firstly to preprocess a musical score image and then recognize stafflines, barlines, pitch, note values, clef, etc.. Finally the musical information of the musical score image is stored in the MIDI format. Making use of our proposed algorithms, which can process multiple staves per system and oblique musical score, an OMR prototype system has been developed and designed. At last, about 50 musical score image which are downloaded from the websites have been used to demonstrate the efficiency and accuracy of the system.
  • Keywords
    mathematical morphology; music; optical character recognition; statistics; Websites; automatic recognition; barlines recognition; mathematical morphology theory; musical information recognition; musical notations statistic characteristics; musical notations structural characteristics; musical score image; optical music recognition; pattern recognition; printed music recognition; prototype system; scanned page; stafflines recognition; Biomedical computing; Biomedical optical imaging; Image recognition; Morphology; Multiple signal classification; Music; Optical computing; Ordinary magnetoresistance; Pixel; Prototypes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    0-7803-7702-8
  • Type

    conf

  • DOI
    10.1109/ICNNSP.2003.1281038
  • Filename
    1281038