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Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/192566
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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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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BENITO ALTAMIRANO, Ismael, et al. A dataset of color QR codes generated using back-compatible and random colorization algorithms exposed to different illumination-capture channel conditions. Data in Brief. 2023. Vol. 46, num. 108780. ISSN 2352-3409. [consulted: 17 of August of 2026]. Available at: https://hdl.handle.net/2445/192566