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Comparative Study of Data Matrix Codes Localization and Recognition Methods

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Bibliographic Details
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
Description
Abstract: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.
DOI:10.3390/jimaging7090163