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http://dx.doi.org/10.9717/kmms.2021.24.8.1012

Improvement of Bit Recognition Rate for Color QR Codes By Multiplexing Color and Pattern Information  

Kim, Jin-Soo (Dept. of Information & Communication Eng., Hanbat National University)
Publication Information
Journal of Korea Multimedia Society / v.24, no.8, 2021 , pp. 1012-1019 More about this Journal
Abstract
Currently, since the black-white QR (Quick Response) codes have limited storage capacity, color QR codes have been actively being studied. By multiplexing 3 colors, the color QR codes can allow the code capacity to be increased by three times, however, the color multiplexing brings about the possibility of crosstalk and noises in the acquisition process of the final image, incurring the decrease of bit-recognition rate. In order to improve the bit recognition rate, while keeping the storage capacity high, this paper proposes a new type of color QR code which uses the pattern information as well as the color information, and then analyzes how to increase the bit recognition rate. For this aim, the paper presents an efficient system which extracts embedded information from color QR code and then, through practical experiments, it is shown that the proposed color QR codes improves the bit recognition rate and are useful for commercial applications, compared to the conventional color codes.
Keywords
Color and Pattern Information; Color QR Code; Bit Recognition Rate;
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  • Reference
1 Z. Liao, T. Huang, R. Wang, and X. Zhou, "A Method of Image Analysis for QR Code Recognition," 2010 International Conference on Intelligent Computing and Integrated Systems, Guilin, China, 2010.
2 F. You, Q. Zhang, and B. Welt, "Research on Color Matching Model for Color QR Code," Journal of Applied Packaging Research, pp. 57-68, 2019.
3 P. Andre and R. Ferreria, "Colour Multiplexing of Quick-Response (QR) Codes," Electronics Letters (IET), Vol. 50, No. 24, pp. 1828-1830, 2014.   DOI
4 J. Ryu and J. Kim, "A Stabilization of MCBCS-Scheme for Distributed Compressed Video Sensing," Journal of Korea Multimedia Society, Vol. 20, No. 5, pp. 731-739, 2017.   DOI
5 M. Querini and G. Italiano, "Reliability and Data Density in High Capacity Color Barcodes," Computer Science and Information Systems, Vol. 11, No. 4, pp. 1595-1615, 2014.   DOI
6 D. Choi and J. Kim, "An Authentic Certification System of a Printed Color QR Code based on Convolutional Neural Network," Journal of the Korea Industrial Information Systems Research, Vol. 25, No. 3, pp. 21-30, 2020.   DOI
7 J. Kim, "Recognition Performance Improvement of QR and Color Codes Posted on Curved Surfaces," Journal of the Korea Institute of Information and Communication Engineering (JKIICE), Vol. 23, No. 3, pp. 267-275, 2019.   DOI
8 D. Choi and J. Kim, "A Code Authentication System of Counterfeit Printed Image Using Multiple Comparison Measures," Journal of the Korea Industrial Information Systems Research, Vol. 23, No. 4, pp. 1-12, 2018.   DOI
9 J. Kim, "An Embedded Information Extraction of Color QR Code for Offline Applications," Journal of the Korea Institute of Information and Communication Engineering (JKIICE), Vol. 24, No. 9, pp. 1123-1131, 2020.   DOI