DocumentCode
1632721
Title
Document Analysis Support for the Manual Auditing of Elections
Author
Lopresti, Daniel ; Zhou, Xiang ; Huang, Xiaolei ; Tan, Gang
Author_Institution
Dept. of Comput. Sci. & Eng., Lehigh Univ., Bethlehem, PA, USA
fYear
2009
Firstpage
733
Lastpage
737
Abstract
Recent developments have resulted in dramatic changes in the way elections are conducted, both in the United States and around the world. Well-publicized flaws in the security of electronic voting systems have led to a push for the use of verifiable paper records in the election process. In this paper, we describe the application of document analysis techniques to facilitate the manual auditing of elections,both to assure the reliability of the final outcome as well as to help reconcile the differences that may arise between repeated scans of the same ballot. We show how techniques developed for document duplicate detection can be applied to this problem, and present experimental results that demonstrate the efficacy of our approach. Related issues concerning machine support for the auditing of elections are also discussed.
Keywords
document handling; government data processing; document analysis support; document duplicate detection; election manual auditing; election process; electronic voting systems security; verifiable paper records; Application software; Computer bugs; Computer science; Electronic voting; Electronic voting systems; History; Manuals; Nominations and elections; Redundancy; Text analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on
Conference_Location
Barcelona
ISSN
1520-5363
Print_ISBN
978-1-4244-4500-4
Electronic_ISBN
1520-5363
Type
conf
DOI
10.1109/ICDAR.2009.279
Filename
5277494
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