• DocumentCode
    3477422
  • Title

    Indexation of Syriac manuscripts using directional features

  • Author

    Bilane, P. ; Bres, S. ; Challita, K. ; Emptoz, H.

  • Author_Institution
    LIRIS, INSA de Lyon, Villeurbanne, France
  • fYear
    2009
  • fDate
    7-10 Nov. 2009
  • Firstpage
    1841
  • Lastpage
    1844
  • Abstract
    This paper presents a method to assist the indexation of digitized Syriac manuscripts. Syriac belongs to the Aramaic branch of Semitic languages, it is written from right to left intentionally tilted by an angle of approximately 45°. The proposed method is based on a word spotting approach that should locate all the occurrences of a certain query word image. The method is based on a selective sliding window technique from which directional features are extracted. Matching between features is done using Euclidean distance correspondence. The proposed method does not require any prior information, it is also fully independent of a word to character segmentation algorithm, which would be extremely difficult to realize due to the tilted nature of the handwriting.
  • Keywords
    document image processing; image segmentation; natural language processing; Aramaic branch; Euclidean distance correspondence; Semitic languages; character segmentation; digitized Syriac manuscripts; directional features; query word image; selective sliding window; word spotting approach; Character recognition; Clocks; Feature extraction; Indexing; Libraries; Multidimensional systems; Quantum computing; Search engines; Spatial databases; Testing; Document indexing; handwriting analysis; word recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2009 16th IEEE International Conference on
  • Conference_Location
    Cairo
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-5653-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2009.5413581
  • Filename
    5413581