TY - CONF

T1 - OpenScan

T2 - 2010 Electronic Voting Technology Workshop/Workshop on Trustworthy Elections, EVT/WOTE 2010, Held in Conjunction with the 19th USENIX Security Symposium

AU - Wang, Kai

AU - Rescorla, Eric

AU - Shacham, Hovav

AU - Belongie, Serge

N1 - Funding Information: This material is based upon work supported by the National Science Foundation under Grant No. 0831532, CAREER Grant No. 0448615, and a Graduate Research Fellowship; and by a MURI grant administered by the Air Force Office of Scientific Research. Any opinions, findings, conclusions or recommendations expressed in this publication are those of the authors and do not necessarily reflect the views of the National Science Foundation or the Air Force Office of Scientific Research. Publisher Copyright: © EVT/WOTE 2010 - 2010 Electronic Voting Technology Workshop/Workshop on Trustworthy Elections. All rights reserved.

PY - 2010

Y1 - 2010

N2 - Existing optical scan voting systems depend on the integrity of the scanner. If a compromised - or merely faulty - scanner reports incorrect results, there is no ready mechanism for detecting errors. While methods exist for ameliorating these risks, none of them are entirely satisfactory. We propose an alternative: a radically open system in which any observer can simultaneously and independently count the ballots for himself. Our approach, called OpenScan, combines digital video recordings of ballot sheet feeding with computer vision techniques to allow any observer with a video camera to obtain a series of ballot images that he can then process with ordinary optical scan counting software. Preliminary experimental results indicate that OpenScan produces accurate results at a manageable cost of around $1000 in hardware plus $0.0010 per ballot counted.

AB - Existing optical scan voting systems depend on the integrity of the scanner. If a compromised - or merely faulty - scanner reports incorrect results, there is no ready mechanism for detecting errors. While methods exist for ameliorating these risks, none of them are entirely satisfactory. We propose an alternative: a radically open system in which any observer can simultaneously and independently count the ballots for himself. Our approach, called OpenScan, combines digital video recordings of ballot sheet feeding with computer vision techniques to allow any observer with a video camera to obtain a series of ballot images that he can then process with ordinary optical scan counting software. Preliminary experimental results indicate that OpenScan produces accurate results at a manageable cost of around $1000 in hardware plus $0.0010 per ballot counted.

UR - http://www.scopus.com/inward/record.url?scp=85092062610&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:85092062610

Y2 - 9 August 2010 through 10 August 2010

ER -