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Vol. 32, No. 8(2), S&M2292

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Sensors and Materials
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Sensors and Materials, Volume 31, Number 3(3) (2019)
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


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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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