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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2020.0110324

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 3, 2020.

  • Abstract and Keywords
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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: Quick response codes; colored quick response codes; data capacity enhancement; multiplexing quick response color coding

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


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