@InProceedings{JuanIgnacioToledo2015,
author="Juan Ignacio Toledo
and Jordi Cucurull
and Jordi Puiggali
and Alicia Fornes
and Josep Llados",
title="Document Analysis Techniques for Automatic Electoral Document Processing: A Survey",
booktitle="E-Voting and Identity, Proceedings of 5th international conference, VoteID 2015",
year="2015",
pages="139--141",
optkeywords="Document image analysis",
optkeywords="Computer vision",
optkeywords="Paper ballots",
optkeywords="Paper based elections",
optkeywords="Optical scan",
optkeywords="Tally",
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.",
optnote="DAG; 600.061; 602.006; 600.077",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=2641), last updated on Tue, 31 May 2016 13:32:07 +0200",
doi="10.1007/978-3-319-22270-7_8",
opturl="http://www.springer.com/us/book/9783319222691"
}