基于相关匹配的QR码识别方法

QR code recognition method based on correlation match

QR码图像识别是QR码应用中的关键技术。Hough变换、曲面拟合去背景、控制点变换等方法为QR码识别过程中图像预处理的基本方法,针对图像预处理后图像识别率低的缺点,提出了一种基于相关匹配法的QR码识别方法。基于曲面拟合的改进自适应阈值法分割图像。采用Hough变换和控制点变换方法校正图像的几何失真变形。利用模板对QR码进行相关匹配,对相干系数阈值处理得出取样网格。实验表明,本文算法能有效提高QR码识别效率和效果。

QR code recognition is the key technology in QR code application.Hough transformation,surface-fitting background removing and control point transformation are the essential methods of image preprocessing in QR code recognition.An improved QR code recognition method based on correlation match is proposed in this paper,which improves the low efficiency of the image recognition after image preprocessing.An improved adaptive threshold value method based on surface fitting is used to segment the QR code image.Hough transform and control point transformation methods are used to correct the geometric distortion deformation of the image.A template is used to carry out the match of the QR code image;and the coherent coefficient image is obtained easily.Then,a selected coherent coefficient threshold is processed and the sample grid image is obtained.Simulated results prove that the proposed method can greatly improve the QR code recognition efficiency and effect.