Document Analysis Techniques for Automatic Electoral Document Processing: A Survey

  • J. Ignacio Toledo
  • Jordi Cucurull
  • Jordi Puiggalí
  • Alicia Fornés
  • Josep Lladós
Conference paper

DOI: 10.1007/978-3-319-22270-7_8

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9269)
Cite this paper as:
Toledo J.I., Cucurull J., Puiggalí J., Fornés A., Lladós J. (2015) Document Analysis Techniques for Automatic Electoral Document Processing: A Survey. In: Haenni R., Koenig R., Wikström D. (eds) E-Voting and Identity. VoteID 2015. Lecture Notes in Computer Science, vol 9269. Springer, Cham

Abstract

In this paper, we will discuss the most common challenges in electoral document processing and study the different solutions from the document analysis community that can be applied in each case. We will cover Optical Mark Recognition techniques to detect voter selections in the Australian Ballot, handwritten number recognition for preferential elections and handwriting recognition for write-in areas. We will also propose some particular adjustments that can be made to those general techniques in the specific context of electoral documents.

Keywords

Document image analysis Computer vision Paper ballots Paper based elections Optical scan Tally 

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • J. Ignacio Toledo
    • 1
  • Jordi Cucurull
    • 1
  • Jordi Puiggalí
    • 1
  • Alicia Fornés
    • 2
  • Josep Lladós
    • 2
  1. 1.Scytl Secure Electronic VotingBarcelonaSpain
  2. 2.Computer Vision CenterUniversitat Autònoma de BarcelonaBarcelonaSpain

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