Research on Improved Character Encoding Methods Based on QR Code

With the popularity of mobile terminals, Quick response (QR) code, which acts as a convenient and quick way to transfer graphic information, has been widely used in various fields. QR code is a 2D matrix code which contains information in both vertical and horizontal directions. In order to promote...

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Bibliographic Details
Published inChinese Journal of Electronics Vol. 28; no. 6; pp. 1170 - 1176
Main Authors Kang, Bohan, Jia, Jingdun, Gao, Wanlin, Zhang, Ning
Format Journal Article
LanguageEnglish
Published Published by the IET on behalf of the CIE 01.11.2019
Subjects
2D matrix code
bar codes
Branch‐bound algorithm
Chinese characters
Chinese characters use frequency
encoding
encoding method
encoding methods separately
encoding pattern selection
image coding
improved character encoding methods
nonChinese characters
QR code
QR code encoding methods
response code
traditional encoding methods
tree searching
traditional encoding methods
improved character encoding methods
nonChinese characters
Branch-bound algorithm
encoding methods separately
2D matrix code
Chinese characters use frequency
encoding
tree searching
Chinese characters
encoding pattern selection
bar codes
QR code encoding methods
QR code
encoding method
image coding
response code
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Summary:With the popularity of mobile terminals, Quick response (QR) code, which acts as a convenient and quick way to transfer graphic information, has been widely used in various fields. QR code is a 2D matrix code which contains information in both vertical and horizontal directions. In order to promote the characters encoding efficiency, we propose the improved character encoding methods based on QR code. Specifically, we divide the types of encoding data into Chinese characters and non-Chinese characters, and thus optimizing their encoding methods separately: we apply the branch-bound algorithm to optimize the encoding pattern selection of QR code; as for Chinese characters, based on the Chinese characters use frequency generated by Url crawler system, we design a new encoding method for Chinese characters. Our approach has been shown to afford better experimental test results compared with traditional encoding methods of QR code.
ISSN:1022-4653
2075-5597
DOI:10.1049/cje.2019.07.005