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...

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Autores principales: Hsing‐Chih Liu, Tzren‐Ru Chou, Chun‐Shien Lu, Hsi‐Chun Wang
Formato: article
Lenguaje:EN
Publicado: Wiley 2021
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Acceso en línea:https://doaj.org/article/149b4d070d65408bb864497cf1c7b323
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spelling oai:doaj.org-article:149b4d070d65408bb864497cf1c7b3232021-11-05T05:26:52ZImproving readability by modifying graphic QR code microstructure1350-911X0013-519410.1049/ell2.12301https://doaj.org/article/149b4d070d65408bb864497cf1c7b3232021-11-01T00:00:00Zhttps://doi.org/10.1049/ell2.12301https://doaj.org/toc/0013-5194https://doaj.org/toc/1350-911XAbstract 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.Hsing‐Chih LiuTzren‐Ru ChouChun‐Shien LuHsi‐Chun WangWileyarticleerror analysiserror correctionimage processingimage recognitionprintingquick response codesElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENElectronics Letters, Vol 57, Iss 23, Pp 879-881 (2021)
institution DOAJ
collection DOAJ
language EN
topic error analysis
error correction
image processing
image recognition
printing
quick response codes
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
spellingShingle error analysis
error correction
image processing
image recognition
printing
quick response codes
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Hsing‐Chih Liu
Tzren‐Ru Chou
Chun‐Shien Lu
Hsi‐Chun Wang
Improving readability by modifying graphic QR code microstructure
description 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.
format article
author Hsing‐Chih Liu
Tzren‐Ru Chou
Chun‐Shien Lu
Hsi‐Chun Wang
author_facet Hsing‐Chih Liu
Tzren‐Ru Chou
Chun‐Shien Lu
Hsi‐Chun Wang
author_sort Hsing‐Chih Liu
title Improving readability by modifying graphic QR code microstructure
title_short Improving readability by modifying graphic QR code microstructure
title_full Improving readability by modifying graphic QR code microstructure
title_fullStr Improving readability by modifying graphic QR code microstructure
title_full_unstemmed Improving readability by modifying graphic QR code microstructure
title_sort improving readability by modifying graphic qr code microstructure
publisher Wiley
publishDate 2021
url https://doaj.org/article/149b4d070d65408bb864497cf1c7b323
work_keys_str_mv AT hsingchihliu improvingreadabilitybymodifyinggraphicqrcodemicrostructure
AT tzrenruchou improvingreadabilitybymodifyinggraphicqrcodemicrostructure
AT chunshienlu improvingreadabilitybymodifyinggraphicqrcodemicrostructure
AT hsichunwang improvingreadabilitybymodifyinggraphicqrcodemicrostructure
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