Style-based ballot mark recognition

Proceedings of the International Conference on Document Analysis and Recognition, ICDAR

Volumn , Issue , 2009, Pages 216-220

  Xiu, Pingping ^a   Lopresti, Daniel ^a   Baird, Henry ^a   Nagy, George ^b   Smith, Elisa Barney ^c  

^a Lehigh University   (United States)

^b RENSSELAER POLYTECHNIC INSTITUTE   (United States)

^c Boise State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MACHINE INTERPRETATION; MARK RECOGNITION;

EID: 71249083919     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2009.273     Document Type: Conference Paper

References (10)

1. W. Burr, J. Kelsey, R. Peralta, and J. Wack. Requiring software independence in VVSG 2007: STS recommendations for the TGDC, November 2006. http://www.voteraction.org/files/Soft Ind VVSG2007-20061120.pdf.
2. Help America Vote Act of 2002. http://www.fec.gov/hava/hava.htm.
3. P. S. Herrnson, R. G. Niemi, M. J. Hanmer, B. B. Bederson, F. C. Conrad, and M. W. Traugott. Voting Technology: The Not-So-Simple Act of Casting a Ballot. Brookings Institution Press, 2008.
4. D. W. Jones. Counting mark-sense ballots, February 2002. http://www.cs.uiowa.edu/ jones/voting/optical/.
5. C.-L. Liu, H. Sako, and H. Fujisawa. Discriminative learning quadratic discriminant function for handwriting recognition. Institute of Electronics, Information, and Communication Engineers, 15(2):430-444, March 2004.
6. D. Lopresti, G. Nagy, and E. B. Smith. A document analysis system for supporting electronic voting research. In Proceedings of the Eighth IAPR Workshop on Document Analysis Systems, pages 167-174, Nara, Japan, September 2008.
7. (Minnesota) challenged ballots: You be the judge, January 2009. http://minnesota.publicradio.org/features/2008/11/19 challenged ballots/.
8. G. Nagy. Twenty years of document image analysis in PAMI. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(1):38-62, 2000.
9. Paper and Electronic Records for Elections: Cultivating Trust (PERFECT), 2009. http://perfect.cse.lehigh.edu/.
10. P. Sarkar and G. Nagy. Style consistent classification of isogenous patterns. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(1), January 2005.