Fast approach for QR code localization on images using Viola-Jones method

Sergey A. Usilin; Pavel V. Bezmaternykh; Vladimir V. Arlazarov

doi:10.1117/12.2559386

Translator Disclaimer

31 January 2020 Fast approach for QR code localization on images using Viola-Jones method

Sergey A. Usilin, Pavel V. Bezmaternykh, Vladimir V. Arlazarov

Author Affiliations +

Proceedings Volume 11433, Twelfth International Conference on Machine Vision (ICMV 2019); 114333G (2020) https://doi.org/10.1117/12.2559386
Event: Twelfth International Conference on Machine Vision, 2019, Amsterdam, Netherlands

Abstract

In this paper, a method for QR Code localization on images obtained under uncontrolled environment is presented. The proposed method is a modified Viola-Jones object detection method in which features are calculated over the directional edge image, and a tree classifier is used instead of cascade classifier. The experiments show that the use of the QR Code localization method described in the paper can significantly improve the quality of the existing decoding algorithms. The high performance of the developed method makes it possible to use it in various real-time recognition systems.

Citation Download Citation

Sergey A. Usilin, Pavel V. Bezmaternykh, and Vladimir V. Arlazarov "Fast approach for QR code localization on images using Viola-Jones method", Proc. SPIE 11433, Twelfth International Conference on Machine Vision (ICMV 2019), 114333G (31 January 2020); https://doi.org/10.1117/12.2559386

ACCESS THE FULL ARTICLE