摘要
针对自然环境中受到各种污损干扰的二维条码的检测问题,提出了一种基于感兴趣区域检测的DataMatrix二维条码自动定位方法,解决了现有方法中由于条码保护区受损而导致提取失败的问题。该方法首先对图像进行预处理,然后进行区域分割和特征四边形提取,再进行条码检测和定位。实验表明,只要能得到满足分辨率要求的条码图像,对存在变形、模糊、反光、线条覆盖、细划痕等干扰下的条码能有效地识读,并能同时识读一副图像中的多个条码。
To solve the problem of automatic positioning of damaged two dimensional barcode image captured in natural environment, a new data matrix barcode positioning method based on interested region detection was presented, which solves the case of damaged zone of 2D barcode. The method firstly preprocesses the barcode image to restore the barcode symbol; then segments the image to several regions and extracts the characteristic quadrilateral of the regions; thirdly detects and locates the barcode symbols. The experiment results showed that the proposed method can detect the data matrix barcode when the barcode was damaged such as thin scratches, and can detect multi-barcode from one image.
出处
《包装工程》
CAS
CSCD
北大核心
2009年第12期27-29,100,共4页
Packaging Engineering