• DocumentCode
    2551762
  • Title

    Layout Analysis of Urdu Document Images

  • Author

    Shafait, Faisal ; Adnan-ul-Hasan ; Keysers, Daniel ; Breuel, Thomas M.

  • Author_Institution
    German Res. Center for Artificial Intelligence, Kaiserslautern
  • fYear
    2006
  • fDate
    23-24 Dec. 2006
  • Firstpage
    293
  • Lastpage
    298
  • Abstract
    Layout analysis is a key component of an OCR system. In this paper, we present a layout analysis system for extracting text-lines in reading order from Urdu document images. For this purpose, we evaluate an existing system for Roman script text on Urdu documents and describe its methods and the main changes necessary to adapt it to Urdu script. The main changes are: 1) the text-line model for Roman script is modified to adapt to Urdu text, 2) reading order of an Urdu document is defined. The method is applied to a collection of scanned Urdu documents from various books, magazines, and newspapers. The results show high text-line detection accuracy on scanned images of Urdu prose and poetry books and magazines. The algorithm also works reasonably well on newspaper images. We also identify directions for future work which may further improve the accuracy of the system.
  • Keywords
    document image processing; natural language processing; text analysis; OCR system; Roman script; Urdu document images; layout analysis; text-line model; text-lines extraction; Algorithm design and analysis; Books; Character recognition; Image analysis; Image segmentation; Layout; Noise robustness; Optical character recognition software; Pattern analysis; Text analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multitopic Conference, 2006. INMIC '06. IEEE
  • Conference_Location
    Islamabad
  • Print_ISBN
    1-4244-0795-8
  • Electronic_ISBN
    1-4244-0795-8
  • Type

    conf

  • DOI
    10.1109/INMIC.2006.358180
  • Filename
    4196423