• DocumentCode
    1894886
  • Title

    An Algorithm for Scanned Document Image Segmentation Based on Voronoi Diagram

  • Author

    Jing, Zhang ; Wei, Dong ; Youhu, Zhang

  • Author_Institution
    Dept. of Comput., Shijiazhuang Univ., Shijiazhuang, China
  • Volume
    1
  • fYear
    2012
  • fDate
    23-25 March 2012
  • Firstpage
    156
  • Lastpage
    159
  • Abstract
    With the emergence of complex layout, the layout isno longer confined to rectangular. This makes the traditional layout segmentation algorithm no longer applies, and new method dealing with complex layout emerge. This article proposed an algorithm for the scanned document image segmentation based on Voronoi diagram. The algorithm does not need additional tilt detection to oblique layout and pretreatment process for tilt correction, Voronoi diagram generated directly on the outer edge of the connected element, not related to the pixel processing, The algorithm does not need the processing to delete redundancy Voronoi edges and merger Voronoi edges, greatly reducing excessive segmentation of the other algorithm. The algorithm can fully identify each area of the document image, and the segmentation is accurate with very little information lost. In addition, because the structural elements were performed using statistical features, the adaptability of the algorithm is better.
  • Keywords
    computational geometry; document image processing; image segmentation; statistical analysis; Voronoi diagram; complex layout emerge; excessive segmentation; pretreatment process; scanned document image segmentation; statistical features; tilt correction; tilt detection; Generators; Histograms; Image edge detection; Image segmentation; Layout; Morphology; Noise; Voronoi diagram; scanned document image; segmentation algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4673-0689-8
  • Type

    conf

  • DOI
    10.1109/ICCSEE.2012.144
  • Filename
    6187850