• DocumentCode
    3695289
  • Title

    Rectification of camera captured document images for camera-based OCR technology

  • Author

    Mohamed Fawzi;Mohsen. A. Rashwan;Hany Ahmed;Shaimaa Samir;Sherif M. Abdou;Hassanin M. Al-Barhamtoshy;Kamal M. Jambi

  • Author_Institution
    Faculty of Engineering, Cairo University, Egypt
  • fYear
    2015
  • Firstpage
    1226
  • Lastpage
    1230
  • Abstract
    In this work we propose a fully automatic pre-processing technique to enhance the digital camera captured images and rectify the different known types of distortion to improve the performance of OCR applications. Our proposed approach depends on the features of the text lines and letters and doesn´t need any especial equipment. Experimental results on a real mobile digital camera (Samsung Galaxy S2 with 8-MP sensor) captured images demonstrate 10∼16 % enhancement in current commercial Arabic OCR packages
  • Keywords
    "Estimation","Yttrium","Approximation methods","Approximation algorithms","Shape","Digital cameras","Pattern recognition"
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition (ICDAR), 2015 13th International Conference on
  • Type

    conf

  • DOI
    10.1109/ICDAR.2015.7333959
  • Filename
    7333959
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3695289