Improving readability by modifying graphic QR code microstructure

Hsing Chih Liu; Tzren Ru Chou; Chun Shien Lu; Hsi Chun Wang

doi:10.1049/ell2.12301

Improving readability by modifying graphic QR code microstructure

Hsing Chih Liu, Tzren Ru Chou, Chun Shien Lu, Hsi Chun Wang^*

^*Corresponding author for this work

Department of Graphic Arts and Communications

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

White modules of quick response codes (QR codes) are degraded by dot gain, especially when printed at smaller sizes, which results in more false blacks than false whites in error analysis, and also severely affects decoding ability. To reduce the false blacks generated from printing and to improve code readability, modifying the microstructure of graphic QR codes by reducing the size of the information dots is proposed. Experimental results show that the resultant QR code reduces the number of false blacks and thus the error rate. This method applies to the physical output of both conventional and graphic QR codes.

Original language	English
Pages (from-to)	879-881
Number of pages	3
Journal	Electronics Letters
Volume	57
Issue number	23
DOIs	https://doi.org/10.1049/ell2.12301
Publication status	Published - 2021 Nov

Keywords

Computer vision and image processing techniques
Microstructure
Optical storage and retrieval
error analysis
error correction
image processing
image recognition
printing
quick response codes

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1049/ell2.12301

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title = "Improving readability by modifying graphic QR code microstructure",

abstract = "White modules of quick response codes (QR codes) are degraded by dot gain, especially when printed at smaller sizes, which results in more false blacks than false whites in error analysis, and also severely affects decoding ability. To reduce the false blacks generated from printing and to improve code readability, modifying the microstructure of graphic QR codes by reducing the size of the information dots is proposed. Experimental results show that the resultant QR code reduces the number of false blacks and thus the error rate. This method applies to the physical output of both conventional and graphic QR codes.",

keywords = "Computer vision and image processing techniques, Microstructure, Optical storage and retrieval, error analysis, error correction, image processing, image recognition, printing, quick response codes",

author = "Liu, {Hsing Chih} and Chou, {Tzren Ru} and Lu, {Chun Shien} and Wang, {Hsi Chun}",

note = "Publisher Copyright: {\textcopyright} 2021 The Authors. Electronics Letters published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.",

year = "2021",

month = nov,

doi = "10.1049/ell2.12301",

language = "English",

volume = "57",

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journal = "Electronics Letters",

issn = "0013-5194",

publisher = "John Wiley & Sons Inc.",

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T1 - Improving readability by modifying graphic QR code microstructure

AU - Liu, Hsing Chih

AU - Chou, Tzren Ru

AU - Lu, Chun Shien

AU - Wang, Hsi Chun

PY - 2021/11

Y1 - 2021/11

N2 - White modules of quick response codes (QR codes) are degraded by dot gain, especially when printed at smaller sizes, which results in more false blacks than false whites in error analysis, and also severely affects decoding ability. To reduce the false blacks generated from printing and to improve code readability, modifying the microstructure of graphic QR codes by reducing the size of the information dots is proposed. Experimental results show that the resultant QR code reduces the number of false blacks and thus the error rate. This method applies to the physical output of both conventional and graphic QR codes.

AB - White modules of quick response codes (QR codes) are degraded by dot gain, especially when printed at smaller sizes, which results in more false blacks than false whites in error analysis, and also severely affects decoding ability. To reduce the false blacks generated from printing and to improve code readability, modifying the microstructure of graphic QR codes by reducing the size of the information dots is proposed. Experimental results show that the resultant QR code reduces the number of false blacks and thus the error rate. This method applies to the physical output of both conventional and graphic QR codes.

KW - Computer vision and image processing techniques

KW - Microstructure

KW - Optical storage and retrieval

KW - error analysis

KW - error correction

KW - image processing

KW - image recognition

KW - printing

KW - quick response codes

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JO - Electronics Letters

JF - Electronics Letters

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ER -

Improving readability by modifying graphic QR code microstructure

Abstract

Keywords

ASJC Scopus subject areas

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