Data in Brief (Feb 2023)

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

  • Ismael Benito-Altamirano,
  • David Martínez-Carpena,
  • Olga Casals,
  • Cristian Fàbrega,
  • Andreas Waag,
  • Joan Daniel Prades

Journal volume & issue
Vol. 46
p. 108780

Abstract

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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.

Keywords