Open AccessResearch on Improved Character Encoding Methods Based on QR Code*
Author(s) -
Kang Bohan,
Jia Jingdun,
Gao Wanlin,
Zhang Ning
Publication year - 2019
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2019.07.005
Subject(s) - encoding (memory) , computer science , code (set theory) , chinese characters , character (mathematics) , arithmetic , theoretical computer science , artificial intelligence , programming language , mathematics , geometry , set (abstract data type)
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.