Document Analysis Support for the Manual Auditing of Elections

D. Lopresti, Xiaoping Zhou, Xiaolei Huang, Gang Tan
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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.
手工审计选举的文件分析支持
最近的事态发展使美国和世界各地的选举方式发生了巨大变化。众所周知,电子投票系统的安全漏洞促使人们在选举过程中使用可核实的纸质记录。在本文中,我们描述了文件分析技术的应用,以促进对选举的人工审计,既确保最终结果的可靠性,又有助于调和在重复扫描同一张选票之间可能出现的差异。我们展示了为文档重复检测开发的技术如何应用于此问题,并展示了实验结果,证明了我们方法的有效性。本文还讨论了选举审计机器支持的相关问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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