Software

Efficient User-Guided Ballot Image Verification

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Executive Summary

Optical scan voting systems are ubiquitous. Unfortunately, optical scan technology is vulnerable to failures that can result in miscounted votes and lost confidence. While manual counts may be able to detect these failures, counting all the ballots by hand is in many situations impractical and prohibitively expensive. In this paper, the authors present a novel approach for examining a large set of ballot images to verify that they were properly interpreted by the opscan system. The system allows the user to simultaneously inspect and verify many ballot images at once. In this way, the scheme is significantly more efficient than manually recounting or inspecting ballots one at a time, providing the accuracy associated with human inspection at reduced cost.

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