Camera-Based Ballot Counter

George Nagy; Bryan Clifford; Andrew Berg; Glenn Saunders; Dan Lopresti; Elisa Barney Smith

doi:10.1109/ICDAR.2009.43

Camera-Based Ballot Counter

George Nagy
, Bryan Clifford
, Andrew Berg
, Glenn Saunders
, Dan Lopresti
, Elisa Barney Smith

Electrical Engineering Department

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

4 Downloads (Pure)

Abstract

Portable ballot counters using camera technology and manual paper feed are potentially more reliable and less expensive than scanner based systems. We show that the spatial sampling rate, geometric linearity, point spread function, and photometric transfer function of off-the-shelf consumer cameras are acceptable for ballot imaging. However, scanner illumination is much more uniform than can be economically accomplished for variable size ballots. Therefore flat-field compensation must be designed into the image processing software. We illustrate the mechanical design of a prototype camera based ballot reader based on our comparative observations.

Original language	American English
Journal	10th International Conference on Document Analysis and Recognition, 2009. ICDAR '09.
DOIs	https://doi.org/10.1109/ICDAR.2009.43
State	Published - 26 Jul 2009

Keywords

ballot counter
camera-based document recognition
document digitization
optical scanners

EGS Disciplines

Electrical and Computer Engineering

Access to Document

10.1109/ICDAR.2009.43License: Unspecified

Camera-Based Ballot CounterFinal published version, 734 KBLicense: Unspecified

http://dx.doi.org/10.1109/ICDAR.2009.43

Cite this

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title = "Camera-Based Ballot Counter",

abstract = " Portable ballot counters using camera technology and manual paper feed are potentially more reliable and less expensive than scanner based systems. We show that the spatial sampling rate, geometric linearity, point spread function, and photometric transfer function of off-the-shelf consumer cameras are acceptable for ballot imaging. However, scanner illumination is much more uniform than can be economically accomplished for variable size ballots. Therefore flat-field compensation must be designed into the image processing software. We illustrate the mechanical design of a prototype camera based ballot reader based on our comparative observations.",

keywords = "ballot counter, camera-based document recognition, document digitization, optical scanners",

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AU - Nagy, George

AU - Clifford, Bryan

AU - Berg, Andrew

AU - Saunders, Glenn

AU - Lopresti, Dan

AU - Barney Smith, Elisa

PY - 2009/7/26

Y1 - 2009/7/26

N2 - Portable ballot counters using camera technology and manual paper feed are potentially more reliable and less expensive than scanner based systems. We show that the spatial sampling rate, geometric linearity, point spread function, and photometric transfer function of off-the-shelf consumer cameras are acceptable for ballot imaging. However, scanner illumination is much more uniform than can be economically accomplished for variable size ballots. Therefore flat-field compensation must be designed into the image processing software. We illustrate the mechanical design of a prototype camera based ballot reader based on our comparative observations.

AB - Portable ballot counters using camera technology and manual paper feed are potentially more reliable and less expensive than scanner based systems. We show that the spatial sampling rate, geometric linearity, point spread function, and photometric transfer function of off-the-shelf consumer cameras are acceptable for ballot imaging. However, scanner illumination is much more uniform than can be economically accomplished for variable size ballots. Therefore flat-field compensation must be designed into the image processing software. We illustrate the mechanical design of a prototype camera based ballot reader based on our comparative observations.

KW - ballot counter

KW - camera-based document recognition

KW - document digitization

KW - optical scanners

UR - https://scholarworks.boisestate.edu/electrical_facpubs/167

U2 - 10.1109/ICDAR.2009.43

DO - 10.1109/ICDAR.2009.43

M3 - Article

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JF - 10th International Conference on Document Analysis and Recognition, 2009. ICDAR '09.

ER -

Camera-Based Ballot Counter

Abstract

Keywords

EGS Disciplines

Access to Document

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