A method used for Dotted Data Matrix image processing

Abstract

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.