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Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
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is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
Instructions to authors
English 日本語
Instructions for manuscript preparation
English 日本語
Template
English
Publisher
MYU K.K.
Sensors and Materials
1-23-3-303 Sendagi,
Bunkyo-ku, Tokyo 113-0022, Japan
Tel: 81-3-3827-8549
Fax: 81-3-3827-8547
MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.
MYU Research
(proofreading and recording)
MYU K.K.
(translation service)
The Art of Writing Scientific Papers
(How to write scientific papers)
(Japanese Only)
Sensors and Materials, Volume 31, Number 3(3) (2019)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 859-871
S&M1820 Research Paper of Special Issue https://doi.org/10.18494/SAM.2019.2165 Published: March 29, 2019 Quick Response Code Binary Research based on Basic Image Processing [PDF] Yun Wu, Shaoyong Yu, and Mei Yang (Received October 15, 2018; Accepted February 8, 2019) Keywords: QR code, binarization, block truncation coding
The goal of this paper is to binarize quick response (QR) codes with basic image processing methods, so that they can be well recognized in extreme cases. In this paper, we avoid the complex computation that comes from sophisticated algorithms, and employ block truncation coding (BTC) to simplify the computation to make processing fast. The final results show that complex algorithms are not required in QR code binarization, and the basic image processing algorithm can achieve faster and better processing results.
Corresponding author: Shaoyong Yu  This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Yun Wu, Shaoyong Yu, and Mei Yang, Quick Response Code Binary Research based on Basic Image Processing, Sens. Mater., Vol. 31, No. 3, 2019, p. 859-871. |
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