• DocumentCode
    1632721
  • Title

    Document Analysis Support for the Manual Auditing of Elections

  • Author

    Lopresti, Daniel ; Zhou, Xiang ; Huang, Xiaolei ; Tan, Gang

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Lehigh Univ., Bethlehem, PA, USA
  • fYear
    2009
  • Firstpage
    733
  • Lastpage
    737
  • Abstract
    Recent developments have resulted in dramatic changes in the way elections are conducted, both in the United States and around the world. Well-publicized flaws in the security of electronic voting systems have led to a push for the use of verifiable paper records in the election process. In this paper, we describe the application of document analysis techniques to facilitate the manual auditing of elections,both to assure the reliability of the final outcome as well as to help reconcile the differences that may arise between repeated scans of the same ballot. We show how techniques developed for document duplicate detection can be applied to this problem, and present experimental results that demonstrate the efficacy of our approach. Related issues concerning machine support for the auditing of elections are also discussed.
  • Keywords
    document handling; government data processing; document analysis support; document duplicate detection; election manual auditing; election process; electronic voting systems security; verifiable paper records; Application software; Computer bugs; Computer science; Electronic voting; Electronic voting systems; History; Manuals; Nominations and elections; Redundancy; Text analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1520-5363
  • Print_ISBN
    978-1-4244-4500-4
  • Electronic_ISBN
    1520-5363
  • Type

    conf

  • DOI
    10.1109/ICDAR.2009.279
  • Filename
    5277494