Taking QR Code as an example

the detection and recognition technology of the two-dimensional bar code for industrial control is researched in this paper.First

Retinex theory is used for illumination correction of images captured under poor illumination.Then according to the character of QR Code

a segmentation algorithm based on edge information is proposed

and a fast bar code detection algorithm is designed.At last

the model of blurred bar code image caused by Gaussian function is analyzed.After the variance of Gaussian function is obtained

the algorithm based on Inverse filter is proposed to recover the image.The experimental results show that the algorithm proposed in this paper is promising in terms of both reliability and computational efficiency.It can locate the barcode in complicated background effectively

and achieve higher recognition rate

which suffices to the requirement of the practical use in industrial control.