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

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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1. Verfasser: Ismael Benito-Altamirano
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creator Ismael Benito-Altamirano
description 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.
doi_str_mv 10.17632/35kj4v96cm.1
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title A dataset of color QR Codes generated using back-compatible and random colorization algorithms exposed to different illumination-capture channel conditions
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