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Image Processing & Communications

The Journal of University of Technology and Life Sciences in Bydgoszcz

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Detection of QR-Codes in Digital Images Based on Histogram Similarity

Karol Ciążyński / Anna Fabijańska
Published Online: 2016-02-12 | DOI: https://doi.org/10.1515/ipc-2015-0033


This paper considers the problem of QR codes detection in digital images. In particular, the approach for detection of QR codes is proposed. The approach is based on histogram correlation between the reference image of QR code and the input image. In particular the input image is firstly divided into blocks. These are next used to build binary map of regions similar and dissimilar in terms of histogram to the image of QR code. On the binary map the morphological operations are next applied in order to remove outliers and identify the QR code. The results of applying the introduced approach to various images are presented and discussed. Different lighting conditions, image resolutions and orientations of QR codes are considered.


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About the article

Published Online: 2016-02-12

Published in Print: 2015-06-01

Citation Information: Image Processing & Communications, Volume 20, Issue 2, Pages 41–48, ISSN (Online) 2300-8709, DOI: https://doi.org/10.1515/ipc-2015-0033.

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© 2015 Image Processing & Communications. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. BY-NC-ND 3.0

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