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Proceedings Paper

Interactive two-stage framework for blur QR code location with complex background
Author(s): Wupeng Deng; Jiwei Hu; Quan Liu; Ping Lou
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Paper Abstract

Due to the advantages of having large storage capacity and small code area, QR (quick response) codes have been widely used for automatic identification in many commercial applications such as parcel packaging, business cards and etc. The existing methods mainly focus on unambiguous QR code location with simple background, which always rely on the accomplishment of machine independently. While the QR code images with low quality and complex background always affect the accuracy and efficiency of location in automatic identification, especially the QR code images in which the finder patterns are destroyed. With the help of human, many interactive learning approaches can solve the problem of cognitive obstacles in computer operations. This paper focuses on locating blur QR codes with complex background by an efficient interactive two-stage framework. The first stage is rough location, which includes our interactive feature template setting and clustering process with our improved mean shift algorithm. Then we do the accurate location based on the optimization of the finder pattern detection. Experiments are performed on damaged, contaminated and scratched images with a complex background, which provide a quite promising result for QR code location.

Paper Details

Date Published: 9 August 2018
PDF: 8 pages
Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 1080609 (9 August 2018); doi: 10.1117/12.2503046
Show Author Affiliations
Wupeng Deng, Wuhan Univ. of Technology (China)
Jiwei Hu, Wuhan Univ. of Science and Technology (China)
Quan Liu, Wuhan Univ. of Technology (China)
Ping Lou, Wuhan Univ. of Technology (China)

Published in SPIE Proceedings Vol. 10806:
Tenth International Conference on Digital Image Processing (ICDIP 2018)
Xudong Jiang; Jenq-Neng Hwang, Editor(s)

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