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Research Article | Open Access |

Improving Performance of the Multiplexed Colored QR Codes

Author 1: Islam M. El-Sheref Author 2: Fatma A. El-Licy Author 3: Ahmed H. Asad
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 11, No. 3 · Published 2020 · Cited by 5

DOI: 10.14569/IJACSA.2020.0110324

Abstract

The vast popularity and useful applications of the QR code were the incentives that encourage the research towards improving its storage capacity and performance. A colored quick response (QR) algorithm is proposed, devised and tested to expand the capacity of the black and white modules to hold colored modules that can fold as many as those available in the 8 bits red-Green-Blue (RGB) color code. Fast Multiplexing Technique (FMT) is established to improve the performance and the storage capacity of the QR color code by multiplexing the black/white QR codes into RGB color shades then folding them into the QR code Modules. Comparative experiments with the classical multiplexing technique -MUX system- proved that FMT has a much better performance, (exponentially faster), while maintaining the capacity multitude to 24 folds that of the classical QR code.

Keywords

How to Cite this Article

El-Sheref, I. M., El-Licy, F. A., & Asad, A. H. (2020). Improving Performance of the Multiplexed Colored QR Codes. International Journal of Advanced Computer Science and Applications, 11(3). https://doi.org/10.14569/IJACSA.2020.0110324

El-Sheref, Islam M., et al.. "Improving Performance of the Multiplexed Colored QR Codes." International Journal of Advanced Computer Science and Applications, vol. 11, no. 3, 2020, https://doi.org/10.14569/IJACSA.2020.0110324.

@article{El-Sheref2020,
  title     = {Improving Performance of the Multiplexed Colored QR Codes},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {11},
  number    = {3},
  year      = {2020},
  publisher = {The Science and Information Organization},
  author    = {Islam M. El-Sheref and Fatma A. El-Licy and Ahmed H. Asad},
  doi       = {10.14569/IJACSA.2020.0110324},
  url       = {https://doi.org/10.14569/IJACSA.2020.0110324}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

Call for Papers - Important Dates

Volume 17 No. 11, November 2026
Paper Submission Due October 25, 2026
Review Notification November 15, 2026
Publication Date November 30, 2026