Details

Autor(en) / Beteiligte

• Pingping Xiu
• Lopresti, D.
• Baird, H.
• Nagy, G.
• Smith, E.B.

Titel

Style-Based Ballot Mark Recognition

Ist Teil von

• 2009 10th International Conference on Document Analysis and Recognition, 2009, p.216-220

Ort / Verlag

IEEE

Erscheinungsjahr

2009

Quelle

IEEE Xplore

Beschreibungen/Notizen

• The push toward voting via hand marked paper ballots has focused attention on the limitations of current optical scan systems. Discrepancies between human and machine interpretations of ballot markings can lead to a loss of trust in the election process. In this paper, a style-based approach to ballot recognition is proposed in which marks are recognized collectively rather than in isolation. The consistency of a voter's style is leveraged to improve the overall accuracy of the system. We compare style-based recognition to various kinds of singlet classifiers and show that it outperforms them by a substantial margin.