基于金字塔权重的QR二维码重构

QR Two-dimensional Code Reconstruction Based on Pyramid Weights

在QR二维码的识别过程中,会遇到运动模糊等问题,因此获得的QR二维码难以识别。因此,本文提出了一种基于金字塔权重的QR二维码重构方法。首先,对输入的QR二维码图像使用仿射变换进行校正,并将校正后的QR二维码图像按模块分区;然后,对分割后的QR二维码的每一个模块利用分层加权求灰度值,并利用大津算法对改图像进行重构;最后,使用去模糊处理的QR二维码图像进行重构试验。试验结果表明,对比去模糊处理后的二维码和重构的二维码的识别正确率,基于金字塔权重的QR二维码重构具有很高的正确率,并能够在一定程度上提升了QR二维码图像正确识别率。

In the process of identifying the QR two-dimensional code,problems such as motion blur are encountered,which is difficult to identify the QR two-dimensional code.In order to improve the recognition of QR two-dimensional code,a reconstruction method with QR two-dimensional code is proposed by using pyramid weight.Firstly,the input QR two-dimensional code image is preprocessed,which includes correcting the QR two-dimensional code image with affine transformation and dividing the QR two-dimensional code image with the module.Then,each module of the QR two-dimensional code is layered and weighted to obtain the weighted gray value,and further the weighted QR two-dimensional code image is binarized to achieve the QR two-dimensional code reconstruction.Finally,the QR two-dimensional code is reconstructed by using the QR two-dimensional code that processed by using deblurring recovery algorithm.The experimental results show that the QR two-dimensional code reconstructed based on pyramid weight has a high recovery accuracy and it can improve the QR two-dimensional code image to a certain extent by comparing the correctness of the deblurring two-dimensional code and the reconstructed two-dimensional code.