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http://hdl.handle.net/2445/192566| Title: | A dataset of color QR codes generated using back-compatible and random colorization algorithms exposed to different illumination-capture channel conditions |
| Author: | Benito Altamirano, Ismael Martínez Carpena, David Casals, Olga Fabrega, Cristian Waag, Andreas Prades García, Juan Daniel |
| Keywords: | Visió per ordinador Reconeixement de formes (Informàtica) Computer vision Pattern recognition systems |
| Issue Date: | Feb-2023 |
| Publisher: | Elsevier |
| 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. |
| Note: | Reproducció del document publicat a: https://doi.org/10.1016/j.dib.2022.108780 |
| It is part of: | Data in Brief, 2023, vol. 46, p. 108780 |
| URI: | http://hdl.handle.net/2445/192566 |
| Related resource: | https://doi.org/10.1016/j.dib.2022.108780 |
| ISSN: | 2352-3409 |
| Appears in Collections: | Articles publicats en revistes (Enginyeria Electrònica i Biomèdica) |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| 727195.pdf | 1.4 MB | Adobe PDF | View/Open |
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