• DocumentCode
    592014
  • Title

    ICFHR 2012 Competition on Writer Identification Challenge 2: Arabic Scripts

  • Author

    Hassaine, Abdulaali ; Maadeed, S.A.

  • Author_Institution
    Comput. Sci. & Eng. Dept., Qatar Univ., Doha, Qatar
  • fYear
    2012
  • fDate
    18-20 Sept. 2012
  • Firstpage
    835
  • Lastpage
    840
  • Abstract
    Arabic writer identification is a very active research field. However, no standard benchmark is available for researchers in this field. The aim of this competition is to gather researchers and compare recent advances in Arabic writer identification. This competition has been hosted on Kaggle, it has attracted forty-three teams from both academia and industry. This paper gives details on this competition, including the dataset used, the evaluation procedure and description of participating methods and their performances.
  • Keywords
    document image processing; handwriting recognition; natural language processing; Arabic scripts; Arabic writer identification; ICFHR 2012 competition; Kaggle; evaluation procedure; standard benchmark; writer identification challenge; Benchmark testing; Educational institutions; Feature extraction; Handwriting recognition; Image edge detection; Kernel; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontiers in Handwriting Recognition (ICFHR), 2012 International Conference on
  • Conference_Location
    Bari
  • Print_ISBN
    978-1-4673-2262-1
  • Type

    conf

  • DOI
    10.1109/ICFHR.2012.218
  • Filename
    6424501