Browse > Article
http://dx.doi.org/10.6109/jkiice.2020.24.9.1123

An Embedded Information Extraction of Color QR Code for Offline Applications  

Kim, Jin-soo (Department of Info. & Comm. Engineering, Hanbat National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.24, no.9, 2020 , pp. 1123-1131 More about this Journal
Abstract
The quick-response (QR) code is a two-dimensional barcode which is widely being used. Due to several interesting features such as small code size, high error correction capabilities, easy code generation and reading process, the QR codes are used in many applications. Nowadays, a printed color QR code for offline applications is being studied to improve the information storage capacity. By multiplexing color information into the conventional black-white QR code, the storage capacity is increased, however, it is hard to extract the embedded information due to the color crosstalk and geometrical distortion. In this paper, to overcome these problems, a new type of QR code is designed based on the CMYK color model and the local spatial searching as well as the global spatial matching is introduced in the reading process. These results in the recognition rate increase. Through practical experiments, it is shown that the proposed algorithm can perform the bit recognition rate improvement of about 3% to 5%.
Keywords
Embedded Information Extraction; Offline Application; Color QR Code; Global Spatial Matching; Local Spatial Searching;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
1 S. Tiwari, "An introduction to QR code technology," 2016 International Conference on Information Technology (ICIT), pp. 39-42, Dec. 2016.
2 N. Bhardwaj, R. Kumar, R. Verma, A. Jindal, and A. Bhondekar, "Decoding algorithm for color QR code: a mobile scanner application," 2016 International Conference on Recent Trends in Information Technology (ICRTIT), pp.1-6, Apr. 2016.
3 C. Chen, "QR code authentication with embedded message authentication code," Mobile Networks and Applications, vol. 22, no. 3, pp. 383-394, Nov. 2017.   DOI
4 Y. Chow, Q. Susilo, J. Tonien, and W. Zong, "A QR code watermarking approach based on the DWT-DCT technique," Australian Conference on Information Security and Privacy (ACISP), pp. 314-331, May. 2017.
5 S. Nandhini, "Performance evaluation of embedded color or codes on logos," Third International Conference On Science Technology Engineering and Management(ICONSTEM) 2017, pp. 1009-1014, Mar. 2017.
6 I. Tkachenko, W. Puech, C. Destruel, J. Gaudin and G. Christian, "Rich QR code for multimedia management applications," Image Analysis and Processing(ICIAP), pp. 383-393, Aug. 2015.
7 I. Tkachenko, W. Puech, O. Strauss, C. Destruel and J. Gaudin, "Printed document authentication using two level QR code," 2016 IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP), pp. 2149-2153, Mar. 2016.
8 J. S. Kim, "Recognition performance improvement of QR and color codes posted on curved surfaces," Journal of the Korea Institute of Information and Communication Engineering, vol. 23, no. 3, pp. 267-275, May. 2019.   DOI
9 D. Y. Choi, and J. S. 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, Jun. 2020. http://dx.doi.org./10.9723/jksiis.2020.25.3.021 ISSN: 1229-3741   DOI
10 Y. K. Lee, and K. H. Kang, "The relationship of pre-service science teachers' science teaching efficacy and development activity for teaching materials using QR code," Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, ISSN:2383-5287, Vol.7, No.1, pp. 815-823, Jan. 2017. http://dx.doi.org/10.14257/AJMAHS.2017.01.43   DOI
11 P. Andre and R. Ferreria, "Colour multiplexing of quick-response (QR) codes," Electronics Letters(IET), Vol. 50, No. 24, pp. 1828-1830, Dec. 2014.   DOI