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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Wiley
2021
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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) |
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DOAJ |
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EN |
topic |
error analysis error correction image processing image recognition printing quick response codes Electrical engineering. Electronics. Nuclear engineering TK1-9971 |
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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 |
_version_ |
1718444453091344384 |