dc.contributor.author
Benito Altamirano, Ismael
dc.contributor.author
Martínez Carpena, David
dc.contributor.author
Casals Guillén, Olga
dc.contributor.author
Fàbrega Gallego, Cristian
dc.contributor.author
Waag, Andreas
dc.contributor.author
Prades García, Juan Daniel
dc.date.issued
2023-01-25T08:57:06Z
dc.date.issued
2023-01-25T08:57:06Z
dc.date.issued
2023-01-25T08:57:06Z
dc.identifier
https://hdl.handle.net/2445/192566
dc.description.abstract
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.
dc.format
application/pdf
dc.relation
Reproducció del document publicat a: https://doi.org/10.1016/j.dib.2022.108780
dc.relation
Data in Brief, 2023, vol. 46, p. 108780
dc.relation
https://doi.org/10.1016/j.dib.2022.108780
dc.rights
cc-by (c) Benito Altamirano, Ismael et al., 2023
dc.rights
https://creativecommons.org/licenses/by/4.0/
dc.rights
info:eu-repo/semantics/openAccess
dc.source
Articles publicats en revistes (Enginyeria Electrònica i Biomèdica)
dc.subject
Visió per ordinador
dc.subject
Reconeixement de formes (Informàtica)
dc.subject
Computer vision
dc.subject
Pattern recognition systems
dc.title
A dataset of color QR codes generated using back-compatible and random colorization algorithms exposed to different illumination-capture channel conditions
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion
