Building a system for writer identification on handwritten music scores

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    14 Citations (Scopus)

    Abstract

    17th and 18th century music scores were copied and distributed in a manual way. Music historians are interested in
    how the compositions were distributed or in other words,
    who copied the compositions when and where. Such information may also help to determine the composer when a
    piece of unknown origin is found. In this paper, we present
    ongoing work on the development of a software system to
    analyse such documents automatically and to aid the musicologists in their task to register handwritten music scores.
    In particular, we focus on the application and adaptation of
    image processing methods to separate music symbols for
    the identification task from irrelevant elements
    Original languageEnglish
    Title of host publicationInternational Conference on Signal Processing, Pattern Recognition, and Applications
    EditorsM.H Hamza
    Place of PublicationGreece
    PublisherIASTED
    Pages250-255
    Number of pages6
    Publication statusPublished - 2003
    EventSPPRA 2003 - Rhodes, Greece
    Duration: 30 Jun 20032 Jul 2003

    Conference

    ConferenceSPPRA 2003
    CountryGreece
    CityRhodes
    Period30/06/032/07/03

    Fingerprint

    Chemical analysis
    Processing

    Cite this

    Goecke, R. (2003). Building a system for writer identification on handwritten music scores. In M. H. Hamza (Ed.), International Conference on Signal Processing, Pattern Recognition, and Applications (pp. 250-255). Greece: IASTED.
    Goecke, Roland. / Building a system for writer identification on handwritten music scores. International Conference on Signal Processing, Pattern Recognition, and Applications. editor / M.H Hamza. Greece : IASTED, 2003. pp. 250-255
    @inproceedings{26e834d15cdf445db63252253141427a,
    title = "Building a system for writer identification on handwritten music scores",
    abstract = "17th and 18th century music scores were copied and distributed in a manual way. Music historians are interested inhow the compositions were distributed or in other words,who copied the compositions when and where. Such information may also help to determine the composer when apiece of unknown origin is found. In this paper, we presentongoing work on the development of a software system toanalyse such documents automatically and to aid the musicologists in their task to register handwritten music scores.In particular, we focus on the application and adaptation ofimage processing methods to separate music symbols forthe identification task from irrelevant elements",
    author = "Roland Goecke",
    year = "2003",
    language = "English",
    pages = "250--255",
    editor = "M.H Hamza",
    booktitle = "International Conference on Signal Processing, Pattern Recognition, and Applications",
    publisher = "IASTED",

    }

    Goecke, R 2003, Building a system for writer identification on handwritten music scores. in MH Hamza (ed.), International Conference on Signal Processing, Pattern Recognition, and Applications. IASTED, Greece, pp. 250-255, SPPRA 2003, Rhodes, Greece, 30/06/03.

    Building a system for writer identification on handwritten music scores. / Goecke, Roland.

    International Conference on Signal Processing, Pattern Recognition, and Applications. ed. / M.H Hamza. Greece : IASTED, 2003. p. 250-255.

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    TY - GEN

    T1 - Building a system for writer identification on handwritten music scores

    AU - Goecke, Roland

    PY - 2003

    Y1 - 2003

    N2 - 17th and 18th century music scores were copied and distributed in a manual way. Music historians are interested inhow the compositions were distributed or in other words,who copied the compositions when and where. Such information may also help to determine the composer when apiece of unknown origin is found. In this paper, we presentongoing work on the development of a software system toanalyse such documents automatically and to aid the musicologists in their task to register handwritten music scores.In particular, we focus on the application and adaptation ofimage processing methods to separate music symbols forthe identification task from irrelevant elements

    AB - 17th and 18th century music scores were copied and distributed in a manual way. Music historians are interested inhow the compositions were distributed or in other words,who copied the compositions when and where. Such information may also help to determine the composer when apiece of unknown origin is found. In this paper, we presentongoing work on the development of a software system toanalyse such documents automatically and to aid the musicologists in their task to register handwritten music scores.In particular, we focus on the application and adaptation ofimage processing methods to separate music symbols forthe identification task from irrelevant elements

    M3 - Conference contribution

    SP - 250

    EP - 255

    BT - International Conference on Signal Processing, Pattern Recognition, and Applications

    A2 - Hamza, M.H

    PB - IASTED

    CY - Greece

    ER -

    Goecke R. Building a system for writer identification on handwritten music scores. In Hamza MH, editor, International Conference on Signal Processing, Pattern Recognition, and Applications. Greece: IASTED. 2003. p. 250-255