摘要
研究并实现了复杂背景图像中数据矩阵码的检测定位技术。通过对数据矩阵码特征的分析,利用子区域多特征分析法检测条码的目标区域,实现条码的粗定位。基于Hough变换和最小二乘拟合检测条码的寻像图形,实现条码的准确定位。使用双线性插值法将条码旋转规则化。通过实验验证了该方法的有效性和鲁棒性。
Data matrix detection and localization technology is a difficult research topic in the field of 2D bar code recognition. An approach for data matrix detection and localization is presented in complicated background images. Firstly, based on analyzing the symbol property of data matrix, regions of interest （ROI） that contain the code are found out by multi-characteristics analysis. Then the code is located by detecting its finder pattern using a method combined hough transform with least square. Finally, rotates the data matrix image to be a regular code image based on bi-linear interpolation. Experimental results verify the effectiveness and robustness of the presented method.
出处
《计算机工程与设计》
CSCD
北大核心
2009年第19期4532-4535,共4页
Computer Engineering and Design
基金
国家自然科学基金项目(50505039)
国防基础科研基金项目(B2720060292)
