• DocumentCode
    1772434
  • Title

    Document image skew detection and correction method based on extreme points

  • Author

    Wagdy, Marian ; Faye, Ibrahima ; Rohaya, Dayang

  • Author_Institution
    Centre of Intell. Signal & Imaging Res. (CISIR), Univ. Teknol. Petronas, Tronoh, Malaysia
  • fYear
    2014
  • fDate
    3-5 June 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper we present a method for estimating the document image skew angle. The main idea of this method is based on the concept that any document image has objects with rectangular shape such as paragraphs, text lines, tables and figures. These objects can be bounded by rectangles. We use the extreme point´s properties to obtain the corners of the rectangle which fits the largest connected component of the document image. The angle of this rectangle represents the angle of document skew. The experimental results show the high performance of the algorithm in detecting the angle of skew for a variety of documents with different levels of complexity.
  • Keywords
    computational geometry; document image processing; object detection; complexity levels; document image skew angle estimation; document image skew correction method; document image skew detection method; document variety; extreme points; figures; paragraphs; tables; text lines; Complexity theory; Degradation; Estimation; Noise; Text analysis; Transforms; document image analysis; extreme points; morphology operation; skew angle estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Sciences (ICCOINS), 2014 International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4799-4391-3
  • Type

    conf

  • DOI
    10.1109/ICCOINS.2014.6868412
  • Filename
    6868412