• DocumentCode
    1678193
  • Title

    Ruling lines removal in handwritten documents

  • Author

    Alipour, Farzad ; Faez, Karim ; Seifzadeh, Sepideh

  • Author_Institution
    Dept. Of Electr., Islamic Univ., Qazvin, Iran
  • fYear
    2013
  • Firstpage
    80
  • Lastpage
    83
  • Abstract
    In this paper, we present a method for removing ruling lines from handwritten documents, making no damage to the existing characters. It is argued that ruling lines have a predictable position in the page, but their thickness and the distance between them may differ from one document to another, which is estimated with simple algorithm. Another important challenge in this regard is detecting the edge of the line. In this paper the two columns that best represent edge of the main lines are considered. Compare to other methods, our method, which has been tested on six languages, that is English, French, German, Greek, Arabic and Persian, displays reduced time in the computation of rule-line removal and higher performance.
  • Keywords
    document image processing; edge detection; natural language processing; Arabic language; English language; French language; German language; Greek language; Persian language; edge detection; handwritten documents; ruling lines removal; Equations; Image edge detection; Indexes; Mathematical model; Support vector machines; Text analysis; Document image; Hand writing documents; Persian handwriting; Ruling line detection; Ruling line removal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Vision and Image Processing (MVIP), 2013 8th Iranian Conference on
  • Conference_Location
    Zanjan
  • ISSN
    2166-6776
  • Print_ISBN
    978-1-4673-6182-8
  • Type

    conf

  • DOI
    10.1109/IranianMVIP.2013.6779954
  • Filename
    6779954