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.
Highlights
The popularity and use of two-dimensional (2D) matrix codes are growing and they are replacing traditional linear 1D barcodes in many areas of life
The experimental results show that methods based on adaptive thresholding achieved a better recognition rate than methods based on edge detection
Description libdmtx [16] (M1) Method described in Section 2.1.1 (M2) Method described in Sections 2.1.2–2.1.4 (M3) Method described in Section 2.2 + Alternative 1 (M4) Method described in Section 2.2 + Alternative 2
Summary
The popularity and use of two-dimensional (2D) matrix codes are growing and they are replacing traditional linear 1D barcodes in many areas of life. The most important advantages of 2D codes are the data capacity (the ability to store more data in a smaller area) and the error correction ability (by utilizing Reed-Solomon algorithm). A 2D code attached to the product can contain detailed information about the product, manufacturer, recipient, customer, and find uses in production, inventory, distribution, sales, and repair processes. Two-dimensional matrix codes are built of black and white modules ( called cells), usually arranged in a square pattern. One module represents the smallest building block and, in the data area, the dark module usually encodes binary 1 and the light module binary 0. As more data is encoded in a 2D code, the number of modules (rows and columns) increases
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