loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Marcondes Silva Júnior 1 ; Jairton Falcão Filho 1 ; Zilde Neto 1 ; Julia Tavares de Souza 1 ; Vinícius Ventura 1 and João Teixeira 2

Affiliations: 1 Informatics Center, Universidade Federal de Pernambuco, Recife, Brazil ; 2 Electronics and Systems Department, Universidade Federal de Pernambuco, Recife, Brazil

Keyword(s): LCD Screen, OCR, Blur, No-reference, Image Quality.

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 qual ity. The OCR analysis matched very closely the human perception and the other evaluators. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.138.123.190

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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; ISSN 2184-4321, SciTePress, pages 444-451. DOI: 10.5220/0011786500003417

@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},
issn={2184-4321},
}

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
IS - 2184-4321
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

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic