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Research on the Graphic Correction Technology Based on Morphological Dilation and Form Function QR Codes

机译:基于形态学膨胀和形式函数QR码的图形校正技术研究

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摘要

As a kind of widely used form of two-dimension codes, the QR codes have been widely applied in various aspects of our life, but in the process of the use of the QR codes, the QR code images captured often suffer from deformity because the QR code label is attached onto the object irregular surface (for example, a curve surface) or the camera and the QR code label are different in position, therefore, the QR code image recognition correction method based on the shape function has been put forward and verified, with the experimental results showing that the improved algorithm can restore the graphic effect.
机译:作为二维码的一种广泛使用的形式,QR码已广泛应用于我们生活的各个方面,但是在使用QR码的过程中,捕获的QR码图像经常会变形,因为QR码标签贴在物体不规则表面(例如曲面)上,或者相机和QR码标签的位置不同,因此,提出了一种基于形状函数的QR码图像识别校正方法,实验结果表明,改进算法可以恢复图形效果。

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