Papers

Peer-reviewed
2017

Aesthetic QR code based on modified systematic encoding function

IEICE Transactions on Information and Systems
  • Kuribayashi, M.
  • ,
  • Morii, M.

Volume
E100D
Number
1
First page
42
Last page
51
Language
English
Publishing type
Research paper (scientific journal)
DOI
10.1587/transinf.2016MUP0002
Publisher
IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG

Quick Response (QR) code is a two dimensional barcode widely used in many applications. A standard QR code consists of black and white square modules, and it appears randomized patterns. By modifying the modules using certain rule, it is possible to display a logo image on the QR code. Such a QR code is called an aesthetic QR code. In this paper, we change the encoding method of the Reed-Solomon (RS) code to produce an aesthetic QR code without sacrificing its error correcting capability. The proposed method randomly produces candidates of RS blocks and finds the best one during encoding. Considering an image to be displayed, we also introduce a weighting function during random selection that classifies the visually important regions in the image. We further investigate the shape of modules which represents the image and consider the trade-off between the visual quality and its readability. As a result, we can produce a beautiful aesthetic QR code, which still can be decoded by standard QR code reader.

Link information
DOI
https://doi.org/10.1587/transinf.2016MUP0002
DBLP
https://dblp.uni-trier.de/rec/journals/ieicet/KuribayashiM17
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000393063800006&DestApp=WOS_CPL
Scopus Url
http://www.scopus.com/inward/record.url?eid=2-s2.0-85008429017&partnerID=MN8TOARS
URL
http://dblp.uni-trier.de/db/journals/ieicet/ieicet100d.html#journals/ieicet/KuribayashiM17
ID information
  • DOI : 10.1587/transinf.2016MUP0002
  • ISSN : 1745-1361
  • DBLP ID : journals/ieicet/KuribayashiM17
  • ORCID - Put Code : 71471939
  • SCOPUS ID : 85008429017
  • Web of Science ID : WOS:000393063800006

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