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A method used for Dotted Data Matrix image processing

机译:点数据矩阵图像处理的一种方法

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With the development of two-dimension code in industrial manufacture, the use of Dotted Data Matrix code is becoming increasingly wider and deeper due to that it is easy to be marked on metal or glass surface. A method about processing the complexity and diversity of Dotted Data Matrix code is presented in this paper. First, the spot detection is used to get the size of data dot, then a self-adapt hazy smooth and standardization process is performed for the original image. Then, a redesigned and optimized Binarization technology is built up to improve the recognition rate of Binarization Dot-Data Matrix image by a series of self-adapt smooth changing algorithms. Finally, the recognition of Dot-Data Matrix code can be achieved by the morphological transform process. According to the experiment and simulation analysis, the method is fast and robust, and it is also fit for the requirement of mobile intelligent terminals.
机译:随着二维代码在工业制造中的发展,点数据矩阵代码的使用变得越来越广泛和深入,因为它易于在金属或玻璃表面上进行标记。提出了一种处理点数据矩阵码复杂度和多样性的方法。首先,通过点检测来获取数据点的大小,然后对原始图像进行自适应模糊平滑和标准化处理。然后,建立了经过重新设计和优化的二值化技术,通过一系列自适应平滑变化算法提高了二值化点数据矩阵图像的识别率。最后,可以通过形态转换过程实现对点数据矩阵码的识别。通过实验和仿真分析,该方法快速,鲁棒,也符合移动智能终端的需求。

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