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

  • Ciążyński K
  • Fabijańska A
N/ACitations
Citations of this article
14Readers
Mendeley users who have this article in their library.

Abstract

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.

Cite

CITATION STYLE

APA

Ciążyński, K., & Fabijańska, A. (2015). Detection of QR-Codes in Digital Images Based on Histogram Similarity. Image Processing & Communications, 20(2), 41–48. https://doi.org/10.1515/ipc-2015-0033

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free