工业控制环境中QR Code的检测和识别算法  

QR Code Detection and Recognition Algorithm for Industrial Control

作　　者：刘宁钟[1] 苏军[1] 孙涵[1] 

机构地区：[1]南京航空航天大学信息学院,江苏南京210016

出　　处：《电子学报》2011年第10期2459-2463,共5页Acta Electronica Sinica

基　　金：国家自然科学基金(No.60903104);江苏省自然科学基金(No.BK2007588);教育部南航基本科研基金(No.NS2010103)

摘　　要：以QR Code为例,研究工业控制环境中的二维条码检测和识别技术.首先针对光照不均,利用Retinex理论,处理光照校正.然后根据QR Code条码的特征,提出了基于边缘信息的二值分割算法,并设计了一种快速定位算法.接着分析了条码图像经过高斯函数模糊的数学模型,求解高斯函数方差,并给出了利用逆滤波对条码图像进行反模糊复原的算法.实验结果表明文中提出的算法具有较好的稳定性和时间复杂度,能在复杂的背景中有效地检测定位条码,并显著地提高了条码的识别率,满足了工业控制环境使用的要求.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.

关 键 词：二维条码 QR码 工业控制 检测 识别 逆滤波 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]