• DocumentCode
    120883
  • Title

    Wavelet-based approach for writer identification in music score

  • Author

    Das, Divya ; Chanda, Sukalpa ; Roy, Partha Pratim ; Pal, Umapada

  • Author_Institution
    Comput. Vision & Pattern RecognitionUnit, Indian Stat. Inst., Kolkata, India
  • fYear
    2014
  • fDate
    21-22 Feb. 2014
  • Firstpage
    1152
  • Lastpage
    1156
  • Abstract
    Writer identification is a vibrant research field, though a lot of work has been done on writer identification on normal text, writer identification in music score sheet has not been addressed in that large scale. Here we propose a method to identify writers of music score sheets using Daubchies wavelet features along with SVM classifier. We have evaluated our proposed approach in a sub-set of CVC-MUSCIMA dataset. From the experiment on 140 score sheet images from 7 writers we obtained encouraging results.
  • Keywords
    document image processing; handwriting recognition; music; support vector machines; wavelet transforms; CVC-MUSCIMA dataset; Daubchies wavelet features; SVM classifier; music score sheets; score sheet images; wavelet-based approach; writer identification; Accuracy; Conferences; Feature extraction; Support vector machines; Training; Wavelet transforms; Music Score Writer Identification; Wavelet; Writer Identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advance Computing Conference (IACC), 2014 IEEE International
  • Conference_Location
    Gurgaon
  • Print_ISBN
    978-1-4799-2571-1
  • Type

    conf

  • DOI
    10.1109/IAdCC.2014.6779489
  • Filename
    6779489
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=120883