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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Main Authors: Hsing‐Chih Liu, Tzren‐Ru Chou, Chun‐Shien Lu, Hsi‐Chun Wang
Format: Article
Language:English
Published: Wiley 2021-11-01
Series:Electronics Letters
Subjects:
Online Access:https://doi.org/10.1049/ell2.12301
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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
collection DOAJ
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.
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spelling doaj.art-149b4d070d65408bb864497cf1c7b3232022-12-22T04:26:12ZengWileyElectronics Letters0013-51941350-911X2021-11-01572387988110.1049/ell2.12301Improving readability by modifying graphic QR code microstructureHsing‐Chih Liu0Tzren‐Ru Chou1Chun‐Shien Lu2Hsi‐Chun Wang3Department of Graphic Arts and Communications National Taiwan Normal University Taipei TaiwanDepartment of Graphic Arts and Communications National Taiwan Normal University Taipei TaiwanInstitute of Information Science, Academia Sinica Taipei TaiwanDepartment of Graphic Arts and Communications National Taiwan Normal University Taipei TaiwanAbstract 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.https://doi.org/10.1049/ell2.12301error analysiserror correctionimage processingimage recognitionprintingquick response codes
spellingShingle Hsing‐Chih Liu
Tzren‐Ru Chou
Chun‐Shien Lu
Hsi‐Chun Wang
Improving readability by modifying graphic QR code microstructure
Electronics Letters
error analysis
error correction
image processing
image recognition
printing
quick response codes
title 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_short Improving readability by modifying graphic QR code microstructure
title_sort improving readability by modifying graphic qr code microstructure
topic error analysis
error correction
image processing
image recognition
printing
quick response codes
url https://doi.org/10.1049/ell2.12301
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AT tzrenruchou improvingreadabilitybymodifyinggraphicqrcodemicrostructure
AT chunshienlu improvingreadabilitybymodifyinggraphicqrcodemicrostructure
AT hsichunwang improvingreadabilitybymodifyinggraphicqrcodemicrostructure