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...

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Bibliographic Details
Published inData in brief Vol. 46; p. 108780
Main Authors Benito-Altamirano, Ismael, Martínez-Carpena, David, Casals, Olga, Fàbrega, Cristian, Waag, Andreas, Prades, Joan Daniel
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier Inc 01.02.2023
Elsevier
Subjects
Barcodes
color
Color calibration
Color correction
Colorchecker
Colorimetry
Data
data collection
QR Codes
scanners
Color calibration
Barcodes
QR Codes
Colorimetry
Colorchecker
Color correction
Online AccessGet full text
ISSN2352-3409
2352-3409
DOI10.1016/j.dib.2022.108780

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Summary: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.
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ISSN:2352-3409
2352-3409
DOI:10.1016/j.dib.2022.108780