Image Quality Assessment in the Context of the Brazilian Electoral System

Marcondes Silva Júnior, Jairton Falcão Filho, Zilde Neto, Julia Tavares de Souza, Vinícius Ventura, João Teixeira

2023

Abstract

The Brazilian electoral system uses an electronic voting machine to increase the voting reliability. This voting machine goes through a series of security procedures, and the one that uses the most human resources is the integrity test. The proposed solution to optimize these resources is using a robotic arm and computer vision methods to replace the eight persons needed to carry out the test currently. However, there is a problem with the LCD screen in the poll worker's terminal.There is no backlight on the LCD screen, this may cause visual pollution on images captured by the camera, depending on the ambient lighting and camera position. In this way, this paper proposes two methods to make it easier to choose the best images to be used in the extraction of information process: OCR and blur analysis. We analyzed 27 images with three ambient lighting configurations then compared our results with three no-reference image quality evaluators and research on human perception of image quality. The OCR analysis matched very closely the human perception and the other evaluators.

Paper Citation

in Harvard Style

Silva Júnior M., Falcão Filho J., Neto Z., Tavares de Souza J., Ventura V. and Teixeira J. (2023). Image Quality Assessment in the Context of the Brazilian Electoral System. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP; ISBN 978-989-758-634-7, SciTePress, pages 444-451. DOI: 10.5220/0011786500003417

in Bibtex Style

@conference{visapp23,
author={Marcondes Silva Júnior and Jairton Falcão Filho and Zilde Neto and Julia Tavares de Souza and Vinícius Ventura and João Teixeira},
title={Image Quality Assessment in the Context of the Brazilian Electoral System},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP},
year={2023},
pages={444-451},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011786500003417},
isbn={978-989-758-634-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP
TI - Image Quality Assessment in the Context of the Brazilian Electoral System
SN - 978-989-758-634-7
AU - Silva Júnior M.
AU - Falcão Filho J.
AU - Neto Z.
AU - Tavares de Souza J.
AU - Ventura V.
AU - Teixeira J.
PY - 2023
SP - 444
EP - 451
DO - 10.5220/0011786500003417
PB - SciTePress