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.
CITATION STYLE
Ignacio Toledo, J., Cucurull, J., Puiggalí, J., Fornés, A., & Lladós, J. (2015). Document analysis techniques for automatic electoral document processing: A survey. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9269, pp. 129–141). Springer Verlag. https://doi.org/10.1007/978-3-319-22270-7_8
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