Operator-Assisted Tabulation of Optical Scan Ballots


Kai Wang, University of California, San Diego; Nicholas Carlini, Eric Kim, Ivan Motyashov, Daniel Nguyen, and David Wagner, University of California, Berkeley


We present OpenCount: a system that tabulates scanned ballots from an election by combining computer vision algorithms with focused operator assistance. OpenCount is designed to support risk-limiting audits and to be scalable to large elections, robust to conditions encountered using typical scanner hardware, and general to a wide class of ballot types—all without the need for integration with any vendor systems. To achieve these goals, we introduce a novel operator-in-the-loop computer vision pipeline for automatically processing scanned ballots while allowing the operator to intervene in a simple, intuitive manner. We evaluate our system on data collected from five risk-limiting audit pilots conducted in California in 2011.

Open Access Media

USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are posted after the event are also free and open to everyone. Support USENIX and our commitment to Open Access.

@inproceedings {179532,
title = {Operator-Assisted Tabulation of Optical Scan Ballots},
booktitle = {2012 Electronic Voting Technology Workshop/Workshop on Trustworthy Elections (EVT/WOTE 12)},
year = {2012},
address = {Bellevue, WA},
url = {https://www.usenix.org/conference/evtwote12/workshop-program/presentation/wang_kai},
publisher = {{USENIX} Association},
month = aug,

Presentation Video

Presentation Audio