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 thedirectional edge image, and a tree classifier is used instead of cascade classifier. The experiments show that the use ofthe QR Code localization method described in the paper can significantly improve the quality of the existing decodingalgorithms. The high performance of the developed method makes it possible to use it in various real-time recognitionsystems.
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