No Detail Found!

Multi-layer color qr code dynamic decoder framework with fuzzy color recovery

Author(s)
BAKRI BADAWI Department of Computer Science, Faculty of Computer Science and Information Technology, 43400 UPM Serdang, Selangor, Malaysia
TEH NORANIS MOHD ARIS Department of Computer Science, Faculty of Computer Science and Information Technology, 43400 UPM Serdang, Selangor, Malaysia
NORWATI MUSTAPHA Department of Computer Science, Faculty of Computer Science and Information Technology, 43400 UPM Serdang, Selangor, Malaysia
NORIDAYU MANSHOR Department of Computer Science, Faculty of Computer Science and Information Technology, 43400 UPM Serdang, Selangor, Malaysia
Abstract
In this paper, we proposed a dynamic framework for a multi-layer color QR code decoder. The proposed decoder framework shows the general steps to decode color QR code. It contains a configuration setting standard that allows other researchers to refer in order to decode their color QR code based on the colors used in the encoder. The framework starts with color QR code detection, then search for color reference. This is followed by fuzzy sets selection based on the color QR code. Color enhancement for the QR code is implemented based on the fuzzy set decision. Next, is color de-multiplexing to get Black and White (B/W) QR code. The de-multiplexing process is based on a configuration file, for the QR code color setting. Finally, is the decoding and merging of the results for the B/W QR code to obtain the original file. We use two datasets with color reference to evaluate our framework. The first dataset used is generated by Yang et al., 2018 encoder and we obtained 83% success rate for the detection and color de-multiplexing. The second dataset is generated from our encoder and produced 90% decoding success rate. The experiment shows the framework can successfully work with different sizes of color QR code.
Publication Details
Page(s) 3294-3304
DOI DOI not available
Published Journal: Journal of Theoretical and Applied Information Technology, Volume: 98, Issue: 16, Year: 2020

Request the full text from PASTIC

Keywords
Fuzzy, framework, Color QR Code, Color Enhancement
More from Journal of Theoretical and Applied Information Technology
0

Citations

0

Downloads

30

Views

Copyright ©  PASTIC National Center, Islamabad www.pastic.gov.pk