• DocumentCode
    2097830
  • Title

    Analyze and Understand the Layout Characteristics of Ballot Image

  • Author

    Xiao Gang ; Shen Jun-qiang ; Chen Jiu-jun ; Gao Fei

  • Author_Institution
    Dept. of Inf. Eng., Zhe Jiang Univ. of Technol., Hangzhou, China
  • Volume
    2
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    414
  • Lastpage
    417
  • Abstract
    The layout understanding of ballot image is the basis of the ballot image recognition, and the ballot table recognition is the key to the layout understanding of the ballot image. This paper presents a method based on a binomial trees model to realize the ballot table recognition. We first analyze the layout characteristics of the ballot image, then study the logic dependence between the candidate information field and the voting symbol field in the ballot table, finally realize the layout understanding of the ballot image with the method based on the binomial trees model. The experiment results in actual shows that the suggested method can realize the ballot count more quickly and efficiently, and make the process of ballot count high automatic.
  • Keywords
    government data processing; image recognition; trees (mathematics); ballot image recognition; ballot table recognition; binomial trees model; candidate information field; layout characteristic; logic dependence; voting symbol field; Character recognition; Computer science; Geometry; Image analysis; Image recognition; Information analysis; Logic; Nominations and elections; Testing; Voting; the candidate information field; the candidate voting symbol field; voting unit;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Computational Technology, 2008. ISCSCT '08. International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3746-7
  • Type

    conf

  • DOI
    10.1109/ISCSCT.2008.197
  • Filename
    4731653