Quick response (QR) codes are widely used in many fields. Various QR code recognition approaches have been proposed to improve the accuracy of decoding QR code. However, the recognition of distorted QR codes with one missing position detection pattern (PDP) remains a problem. In this study, based on the vector relationship and the structural features, the authors introduce a new method for decoding distorted QR code with one missing PDP. Three methods, Zxing, Halcon, and the newly proposed method, are used to test the decoding capability. For QR codes with one missing PDP, the experimental results show that the proposed method could meet the recognition angle range as much as 110°, while Zxing fails to recognise, and the angle of decoding for Halcon is 90°. Especially, the proposed method is available at an extremely harsh luminance and contrast environment, e.g. both phases as a 60% discount, when the decoding angle of Halcon is only 35°, while the proposed one better than 2.7 times of it. Besides, the proposed method is more robust to decode the QR codes with a missing PDP under different backgrounds and noisy images.

中文翻译：

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带有一种缺失位置检测模式的失真QR码识别

快速响应（QR）代码广泛用于许多领域。已经提出了各种QR码识别方法来提高解码QR码的准确性。然而，利用一个丢失的位置检测图案（PDP）来识别失真的QR码仍然是一个问题。在这项研究中，基于向量关系和结构特征，作者介绍了一种新的解码具有缺失PDP的扭曲QR码的方法。Zxing，Halcon和新提出的三种方法用于测试解码能力。对于缺少一个PDP的QR码，实验结果表明，该方法可以满足110°的识别角度范围，而Zxing无法识别，Halcon的解码角度为90°。特别，当Halcon的解码角度仅为35°时，所提出的方法可在极其苛刻的亮度和对比度环境下使用，例如，两个阶段的折扣都为60％，而所提议的方法要好于2.7倍。此外，在不同背景和嘈杂图像下，所提出的方法在缺失PDP的情况下对QR码进行解码的鲁棒性更高。