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Identification of QR Code Perspective Distortion Based on Edge Directions and Edge Projections Analysis

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Název: Identification of QR Code Perspective Distortion Based on Edge Directions and Edge Projections Analysis
Autoři: Ladislav Karrach, Elena Pivarčiová, Pavol Božek
Zdroj: Journal of Imaging, Vol 6, Iss 67, p 67 (2020)
Informace o vydavateli: MDPI AG
Rok vydání: 2020
Sbírka: Directory of Open Access Journals: DOAJ Articles
Témata: QR Code recognition, Quick Response Code localization, adaptive thresholding, finder pattern, perspective distortion, edge projections, Photography, TR1-1050, Computer applications to medicine. Medical informatics, R858-859.7, Electronic computers. Computer science, QA75.5-76.95
Popis: QR (quick response) Codes are one of the most popular types of two-dimensional (2D) matrix codes currently used in a wide variety of fields. Two-dimensional matrix codes, compared to 1D bar codes, can encode significantly more data in the same area. We have compared algorithms capable of localizing multiple QR Codes in an image using typical finder patterns, which are present in three corners of a QR Code. Finally, we present a novel approach to identify perspective distortion by analyzing the direction of horizontal and vertical edges and by maximizing the standard deviation of horizontal and vertical projections of these edges. This algorithm is computationally efficient, works well for low-resolution images, and is also suited to real-time processing.
Druh dokumentu: article in journal/newspaper
Jazyk: English
Relation: https://www.mdpi.com/2313-433X/6/7/67; https://doaj.org/toc/2313-433X; https://doaj.org/article/94b22dc1b84d47dd98cacf7ea979d0d3
DOI: 10.3390/jimaging6070067
Dostupnost: https://doi.org/10.3390/jimaging6070067
https://doaj.org/article/94b22dc1b84d47dd98cacf7ea979d0d3
Přístupové číslo: edsbas.2ECB3B05
Databáze: BASE
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  – Url: https://doi.org/10.3390/jimaging6070067#
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  Data: Identification of QR Code Perspective Distortion Based on Edge Directions and Edge Projections Analysis
– Name: Author
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  Data: <searchLink fieldCode="AR" term="%22Ladislav+Karrach%22">Ladislav Karrach</searchLink><br /><searchLink fieldCode="AR" term="%22Elena+Pivarčiová%22">Elena Pivarčiová</searchLink><br /><searchLink fieldCode="AR" term="%22Pavol+Božek%22">Pavol Božek</searchLink>
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  Data: Journal of Imaging, Vol 6, Iss 67, p 67 (2020)
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  Data: MDPI AG
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  Data: 2020
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  Data: Directory of Open Access Journals: DOAJ Articles
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  Data: <searchLink fieldCode="DE" term="%22QR+Code+recognition%22">QR Code recognition</searchLink><br /><searchLink fieldCode="DE" term="%22Quick+Response+Code+localization%22">Quick Response Code localization</searchLink><br /><searchLink fieldCode="DE" term="%22adaptive+thresholding%22">adaptive thresholding</searchLink><br /><searchLink fieldCode="DE" term="%22finder+pattern%22">finder pattern</searchLink><br /><searchLink fieldCode="DE" term="%22perspective+distortion%22">perspective distortion</searchLink><br /><searchLink fieldCode="DE" term="%22edge+projections%22">edge projections</searchLink><br /><searchLink fieldCode="DE" term="%22Photography%22">Photography</searchLink><br /><searchLink fieldCode="DE" term="%22TR1-1050%22">TR1-1050</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+applications+to+medicine%2E+Medical+informatics%22">Computer applications to medicine. Medical informatics</searchLink><br /><searchLink fieldCode="DE" term="%22R858-859%2E7%22">R858-859.7</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+computers%2E+Computer+science%22">Electronic computers. Computer science</searchLink><br /><searchLink fieldCode="DE" term="%22QA75%2E5-76%2E95%22">QA75.5-76.95</searchLink>
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  Data: QR (quick response) Codes are one of the most popular types of two-dimensional (2D) matrix codes currently used in a wide variety of fields. Two-dimensional matrix codes, compared to 1D bar codes, can encode significantly more data in the same area. We have compared algorithms capable of localizing multiple QR Codes in an image using typical finder patterns, which are present in three corners of a QR Code. Finally, we present a novel approach to identify perspective distortion by analyzing the direction of horizontal and vertical edges and by maximizing the standard deviation of horizontal and vertical projections of these edges. This algorithm is computationally efficient, works well for low-resolution images, and is also suited to real-time processing.
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  Data: https://www.mdpi.com/2313-433X/6/7/67; https://doaj.org/toc/2313-433X; https://doaj.org/article/94b22dc1b84d47dd98cacf7ea979d0d3
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  Data: 10.3390/jimaging6070067
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    Subjects:
      – SubjectFull: QR Code recognition
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      – SubjectFull: Quick Response Code localization
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      – SubjectFull: adaptive thresholding
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      – SubjectFull: finder pattern
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      – SubjectFull: perspective distortion
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      – SubjectFull: edge projections
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