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

Publication date

2023-01-25T08:57:06Z

2023-01-25T08:57:06Z

2023-02

2023-01-25T08:57:06Z

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.

Document Type

Article


Published version

Language

English

Publisher

Elsevier

Related items

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

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Rights

cc-by (c) Benito Altamirano, Ismael et al., 2023

https://creativecommons.org/licenses/by/4.0/

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