<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Data Matrix codes can be a significant factor in increasing productivity and efficiency in production processes. An important point in deploying Data Matrix codes is their recognition and decoding. In this paper is presented a computationally efficient algorithm for locating Data Matrix codes in the images. Image areas that may contain the Data Matrix code are to be identified firstly. To identify these areas, the thresholding, connected components labelling and examining outer bounding-box of the continuous regions is used. Subsequently, to determine the boundaries of the Data Matrix code more precisely, we work with the difference of adjacent projections around the Finder Pattern. The dimensions of the Data Matrix code are determined by analyzing the local extremes around the Timing Pattern. We verified the proposed method on a testing set of synthetic and real scene images and compared it with the results of other open-source and commercial solutions. The proposed method has achieved better results than competitive commercial solutions.</p></abstract>

Data Matrix codes can be a significant factor in increasing productivity and efficiency in production processes. An important point in deploying Data Matrix codes is their recognition and decoding. In this paper is presented a computationally efficient algorithm for locating Data Matrix codes in the images. Image areas that may contain the Data Matrix code are to be identified firstly. To identify these areas, the thresholding, connected components labelling and examining outer bounding-box of the continuous regions is used. Subsequently, to determine the boundaries of the Data Matrix code more precisely, we work with the difference of adjacent projections around the Finder Pattern. The dimensions of the Data Matrix code are determined by analyzing the local extremes around the Timing Pattern. We verified the proposed method on a testing set of synthetic and real scene images and compared it with the results of other open-source and commercial solutions. The proposed method has achieved better results than competitive commercial solutions.

Recognition of Data Matrix Codes in Images and their Applications in Production Processes

Management Systems in Production Engineering

This work is licensed under the Creative Commons Attribution 4.0 Public License.

Data Matrix codes can be a significant factor in increasing productivity and efficiency in production processes. An important point in deploying Data Matrix...

Recognition of Data Matrix Codes in Images and their Applications in Production Processes

Data publikacji: 17 lip 2020

Zakres stron: 154 - 161

Otrzymano: 01 lut 2020

Przyjęty: 01 cze 2020

DOI: https://doi.org/10.2478/mspe-2020-0023

Słowa kluczowe
adaptive thresholding, connected component labelling, data matrix code, finder pattern, timing pattern

© 2020 Ladislav Karrach et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 Public License.

Recognition of Data Matrix Codes in Images and their Applications in Production Processes

Data publikacji: 17 lip 2020

Zakres stron: 154 - 161

Otrzymano: 01 lut 2020

Przyjęty: 01 cze 2020

DOI: https://doi.org/10.2478/mspe-2020-0023

Słowa kluczoweadaptive thresholding, connected component labelling, data matrix code, finder pattern, timing pattern

© 2020 Ladislav Karrach et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 Public License.

Słowa kluczowe
adaptive thresholding, connected component labelling, data matrix code, finder pattern, timing pattern