基于机器视觉的2D码识别

TWO-DIMENSION CODE RECOGNITION BASED ON MACHINE VISION

针对汽车生产中零部件供应环节的部件检测应用，提出一种基于机器视觉的DataMatrix码、PDF417码、QR码识别方法。本方法利用图像获取、图像去噪等技术对获取的具有2D码的图像进行处理，然后根据2D码选取不同的处理方法，能有效识别以上三种2D码。实验结果表明该方法是可行的，能实时识别DataMatrix码、PDF417码、QR码。

According to components detection of the auto parts supply chain,put forward a kind code recognition method for DataMatrix code,PDF41 7 code,and QR code based on machine vision.The method of obtaining image firstly,and then using the image denoising technique to the image acquired with a 2D code processing,and then select different processing methods according to the 2D code can effectively identify these three 2D codes.The experimental result shows that the proposed approach is feasible and effective and can recognize DataMatrix code,PDF41 7 code,QR code real -timely.