2026-10-15T17:10:16Z
https://data.mendeley.com/oai
oai:data.mendeley.com/35kj4v96cm.2
2022-10-06T07:33:58Z
Benito-Altamirano, Ismael
A dataset of color QR Codes generated using back-compatible and random colorization algorithms exposed to different illumination-capture channel conditions
Mendeley Data
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.
Image Processing
Colorimetry
Pattern Recognition
Digital Communication
MartÃnez-Carpena, David
Casals, Olga
fabrega, cristian
Waag, Andreas
Prades, Daniel
Dataset
doi:10.17632/35kj4v96cm.2
oai:data.mendeley.com/35kj4v96cm.2
Creative Commons Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0
https://data.mendeley.com/datasets/35kj4v96cm
2022-10-06T07:33:58Z