UPM Institutional Repository

Fast multilayer color QR code decoder algorithm utilizing fuzzy technique


Citation

Badawi, Bakri and Mohd Aris, Teh Noranis and Mustapha, Norwati and Manshor, Noridayu (2020) Fast multilayer color QR code decoder algorithm utilizing fuzzy technique. International Journal of Advanced Research in Engineering and Technology, 11 (12). 1281 - 1291. ISSN 0976-6480; ESSN: 0976-6499

Abstract

Color QR code is an active research topic. Most of the recent research focus on the decoding success rate and ignore the decoding speed. In this paper, we propose a fast multilayer color QR code decoder algorithm to decode an extended color QR code. The extended color QR code utilize color reference for the color recognition. The algorithm starts with the detection of the color QR code. This is followed by the calculation of the model size. Then, color reference selection from the extended QR code. Next, build a dynamic fuzzy membership, from the color reference set of the extended color QR code and fast color enhancement using the center color pixel for each model. After that, optioning monochrome color QR code by applying color de-multiplexing for the enhanced color QR code. We measure the color recovery speed and compared it with an existing work. The experiment shows using the proposed algorithm we got a decoding speed of 200% faster than the existing work.


Download File

[img] Text (Abstract)
QR.pdf

Download (28kB)
Official URL or Download Paper: https://iaeme.com/Home/article_id/IJARET_11_12_122

Additional Metadata

Item Type: Article
Divisions: Faculty of Computer Science and Information Technology
DOI Number: https://doi.org/10.34218/IJARET.11.12.2020.122
Publisher: IAEME Publication
Keywords: Colour QR code; Decoder; Decoding speed; Fuzzy
Depositing User: Ms. Nuraida Ibrahim
Date Deposited: 04 Oct 2021 21:48
Last Modified: 04 Oct 2021 21:48
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.34218/IJARET.11.12.2020.122
URI: http://psasir.upm.edu.my/id/eprint/88999
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item