A dataset of color QR codes generated using back-compatible and random colorization algorithms exposed to different illumination-capture channel conditions

Color QR Codes are often generated to encode digital information, but one also could use colors or to allocate colors in a QR Code to act as a color calibration chart. In this dataset, we present several thousand QR Codes images generated with two different colorization algorithms (random and back-c...

ver descrição completa

Detalhes bibliográficos
Autores: Benito Altamirano, Ismael, Martínez Carpena, David, Casals Guillén, Olga, Fàbrega Gallego, Cristian, Waag, Andreas, Prades García, Juan Daniel
Tipo de documento: artigo
Estado:Versão publicada
Data de publicação:2023
País:España
Recursos:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositório:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:2445/192566
Acesso em linha:https://hdl.handle.net/2445/192566
Access Level:Acceso aberto
Palavra-chave:Visió per ordinador
Reconeixement de formes (Informàtica)
Computer vision
Pattern recognition systems
id ES_44d1cea99ba9772f5de40a3f2b8b3df7
oai_identifier_str oai:recercat.cat:2445/192566
network_acronym_str ES
network_name_str España
repository_id_str
spelling A dataset of color QR codes generated using back-compatible and random colorization algorithms exposed to different illumination-capture channel conditionsBenito Altamirano, IsmaelMartínez Carpena, DavidCasals Guillén, OlgaFàbrega Gallego, CristianWaag, AndreasPrades García, Juan DanielVisió per ordinadorReconeixement de formes (Informàtica)Computer visionPattern recognition systemsColor QR Codes are often generated to encode digital information, but one also could use colors or to allocate colors in a QR Code to act as a color calibration chart. In this dataset, we present several thousand QR Codes images generated with two different colorization algorithms (random and back-compatible) and several tuning variables in these color encoding. The QR Codes were also exposed to three different channel conditions (empty, augmentation and real-life). Also, we derive the SNR and BER computations for these QR Code in comparison with their black and white versions. Finally, we also show if ZBar, a commercial QR Code scanner, is able to read them.Elsevier2023202320232023info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion9 p.application/pdfhttps://hdl.handle.net/2445/192566Articles publicats en revistes (Enginyeria Electrònica i Biomèdica)reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésReproducció del document publicat a: https://doi.org/10.1016/j.dib.2022.108780Data in Brief, 2023, vol. 46, p. 108780https://doi.org/10.1016/j.dib.2022.108780cc-by (c) Benito Altamirano, Ismael et al., 2023https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:2445/1925662026-05-29T05:05:01Z
dc.title.none.fl_str_mv A dataset of color QR codes generated using back-compatible and random colorization algorithms exposed to different illumination-capture channel conditions
title A dataset of color QR codes generated using back-compatible and random colorization algorithms exposed to different illumination-capture channel conditions
spellingShingle A dataset of color QR codes generated using back-compatible and random colorization algorithms exposed to different illumination-capture channel conditions
Benito Altamirano, Ismael
Visió per ordinador
Reconeixement de formes (Informàtica)
Computer vision
Pattern recognition systems
title_short A dataset of color QR codes generated using back-compatible and random colorization algorithms exposed to different illumination-capture channel conditions
title_full A dataset of color QR codes generated using back-compatible and random colorization algorithms exposed to different illumination-capture channel conditions
title_fullStr A dataset of color QR codes generated using back-compatible and random colorization algorithms exposed to different illumination-capture channel conditions
title_full_unstemmed A dataset of color QR codes generated using back-compatible and random colorization algorithms exposed to different illumination-capture channel conditions
title_sort A dataset of color QR codes generated using back-compatible and random colorization algorithms exposed to different illumination-capture channel conditions
dc.creator.none.fl_str_mv Benito Altamirano, Ismael
Martínez Carpena, David
Casals Guillén, Olga
Fàbrega Gallego, Cristian
Waag, Andreas
Prades García, Juan Daniel
author Benito Altamirano, Ismael
author_facet Benito Altamirano, Ismael
Martínez Carpena, David
Casals Guillén, Olga
Fàbrega Gallego, Cristian
Waag, Andreas
Prades García, Juan Daniel
author_role author
author2 Martínez Carpena, David
Casals Guillén, Olga
Fàbrega Gallego, Cristian
Waag, Andreas
Prades García, Juan Daniel
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Visió per ordinador
Reconeixement de formes (Informàtica)
Computer vision
Pattern recognition systems
topic Visió per ordinador
Reconeixement de formes (Informàtica)
Computer vision
Pattern recognition systems
description Color QR Codes are often generated to encode digital information, but one also could use colors or to allocate colors in a QR Code to act as a color calibration chart. In this dataset, we present several thousand QR Codes images generated with two different colorization algorithms (random and back-compatible) and several tuning variables in these color encoding. The QR Codes were also exposed to three different channel conditions (empty, augmentation and real-life). Also, we derive the SNR and BER computations for these QR Code in comparison with their black and white versions. Finally, we also show if ZBar, a commercial QR Code scanner, is able to read them.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023
2023
2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/192566
url https://hdl.handle.net/2445/192566
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a: https://doi.org/10.1016/j.dib.2022.108780
Data in Brief, 2023, vol. 46, p. 108780
https://doi.org/10.1016/j.dib.2022.108780
dc.rights.none.fl_str_mv cc-by (c) Benito Altamirano, Ismael et al., 2023
https://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv cc-by (c) Benito Altamirano, Ismael et al., 2023
https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 9 p.
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv Articles publicats en revistes (Enginyeria Electrònica i Biomèdica)
reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869407119493562368
score 15,812455

Registros relacionados