Comparative Study of Data Matrix Codes Localization and Recognition Methods

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Title: Comparative Study of Data Matrix Codes Localization and Recognition Methods
Authors: Ladislav Karrach, Elena Pivarčiová
Source: Journal of Imaging, Vol 7, Iss 163, p 163 (2021)
Publisher Information: MDPI AG
Publication Year: 2021
Collection: Directory of Open Access Journals: DOAJ Articles
Subject Terms: Data Matrix code recognition, edge detection, adaptive thresholding, finder pattern, timing pattern, perspective distortion, Photography, TR1-1050, Computer applications to medicine. Medical informatics, R858-859.7, Electronic computers. Computer science, QA75.5-76.95
Description: We provide a comprehensive and in-depth overview of the various approaches applicable to the recognition of Data Matrix codes in arbitrary images. All presented methods use the typical “L” shaped Finder Pattern to locate the Data Matrix code in the image. Well-known image processing techniques such as edge detection, adaptive thresholding, or connected component labeling are used to identify the Finder Pattern. The recognition rate of the compared methods was tested on a set of images with Data Matrix codes, which is published together with the article. The experimental results show that methods based on adaptive thresholding achieved a better recognition rate than methods based on edge detection.
Document Type: article in journal/newspaper
Language: English
Relation: https://www.mdpi.com/2313-433X/7/9/163; https://doaj.org/toc/2313-433X; https://doaj.org/article/55b8d6937dc04720a1ecdbf6358bc92a
DOI: 10.3390/jimaging7090163
Availability: https://doi.org/10.3390/jimaging7090163
https://doaj.org/article/55b8d6937dc04720a1ecdbf6358bc92a
Accession Number: edsbas.92FDB3E6
Database: BASE
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  – Url: https://doi.org/10.3390/jimaging7090163#
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Comparative Study of Data Matrix Codes Localization and Recognition Methods
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Ladislav+Karrach%22">Ladislav Karrach</searchLink><br /><searchLink fieldCode="AR" term="%22Elena+Pivarčiová%22">Elena Pivarčiová</searchLink>
– Name: TitleSource
  Label: Source
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  Data: Journal of Imaging, Vol 7, Iss 163, p 163 (2021)
– Name: Publisher
  Label: Publisher Information
  Group: PubInfo
  Data: MDPI AG
– Name: DatePubCY
  Label: Publication Year
  Group: Date
  Data: 2021
– Name: Subset
  Label: Collection
  Group: HoldingsInfo
  Data: Directory of Open Access Journals: DOAJ Articles
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Data+Matrix+code+recognition%22">Data Matrix code recognition</searchLink><br /><searchLink fieldCode="DE" term="%22edge+detection%22">edge detection</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="%22timing+pattern%22">timing pattern</searchLink><br /><searchLink fieldCode="DE" term="%22perspective+distortion%22">perspective distortion</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>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: We provide a comprehensive and in-depth overview of the various approaches applicable to the recognition of Data Matrix codes in arbitrary images. All presented methods use the typical “L” shaped Finder Pattern to locate the Data Matrix code in the image. Well-known image processing techniques such as edge detection, adaptive thresholding, or connected component labeling are used to identify the Finder Pattern. The recognition rate of the compared methods was tested on a set of images with Data Matrix codes, which is published together with the article. The experimental results show that methods based on adaptive thresholding achieved a better recognition rate than methods based on edge detection.
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  Data: article in journal/newspaper
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  Label: Language
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  Data: English
– Name: NoteTitleSource
  Label: Relation
  Group: SrcInfo
  Data: https://www.mdpi.com/2313-433X/7/9/163; https://doaj.org/toc/2313-433X; https://doaj.org/article/55b8d6937dc04720a1ecdbf6358bc92a
– Name: DOI
  Label: DOI
  Group: ID
  Data: 10.3390/jimaging7090163
– Name: URL
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  Data: https://doi.org/10.3390/jimaging7090163<br />https://doaj.org/article/55b8d6937dc04720a1ecdbf6358bc92a
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      – Type: doi
        Value: 10.3390/jimaging7090163
    Languages:
      – Text: English
    Subjects:
      – SubjectFull: Data Matrix code recognition
        Type: general
      – SubjectFull: edge detection
        Type: general
      – SubjectFull: adaptive thresholding
        Type: general
      – SubjectFull: finder pattern
        Type: general
      – SubjectFull: timing pattern
        Type: general
      – SubjectFull: perspective distortion
        Type: general
      – SubjectFull: Photography
        Type: general
      – SubjectFull: TR1-1050
        Type: general
      – SubjectFull: Computer applications to medicine. Medical informatics
        Type: general
      – SubjectFull: R858-859.7
        Type: general
      – SubjectFull: Electronic computers. Computer science
        Type: general
      – SubjectFull: QA75.5-76.95
        Type: general
    Titles:
      – TitleFull: Comparative Study of Data Matrix Codes Localization and Recognition Methods
        Type: main
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          Name:
            NameFull: Ladislav Karrach
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          Name:
            NameFull: Elena Pivarčiová
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          Dates:
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              M: 01
              Type: published
              Y: 2021
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          Titles:
            – TitleFull: Journal of Imaging, Vol 7, Iss 163, p 163 (2021
              Type: main
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