• DocumentCode
    2503809
  • Title

    Redif Extraction in Handwritten Ottoman Literary Texts

  • Author

    Can, Ethem F. ; Duygulu, Pinar ; Can, Fazli ; Kalpakli, Mehmet

  • Author_Institution
    Dept. of Comput. Eng., Bilkent Univ., Ankara, Turkey
  • fYear
    2010
  • fDate
    23-26 Aug. 2010
  • Firstpage
    1941
  • Lastpage
    1944
  • Abstract
    Repeated patterns, rhymes and redifs, are among the fundamental building blocks of Ottoman Divan poetry. They provide integrity of a poem by connecting its parts and bring a melody to its voice. In Ottoman literature, poets wrote their works by making use of the rhymes and redifs of previous poems according to the nazire (creative imitation) tradition either to prove their expertise or to show respect towards old masters. Automatic recognition of redifs would provide important data mining opportunities in literary analyses of Ottoman poetry where the majority of it is in handwritten form. In this study, we propose a matching criterion and method, Red if Extraction using Contour Segments (RECS) using the proposed matching criterion, that detects redifs in handwritten Ottoman literary texts using only visual analysis. Our method provides a success rate of 0.682 in a test collection of 100 poems.
  • Keywords
    data mining; document image processing; feature extraction; handwriting recognition; literature; Ottoman Divan poetry; automatic redif recognition; creative imitation; data mining opportunities; handwritten Ottoman literary texts; literary analyses; matching criterion; nazire tradition; redif extraction; Erbium; Image segmentation; Indexing; Optical character recognition software; Signal processing algorithms; Text analysis; Ottoman manuscripts; word-retrieval; word-spotting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2010 20th International Conference on
  • Conference_Location
    Istanbul
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4244-7542-1
  • Type

    conf

  • DOI
    10.1109/ICPR.2010.478
  • Filename
    5597242