Adaptive Segmentation Method for 2-D Barcode Image Base on Mathematic Morphological
Jianhua Li, Jianhua Li, Yiwen Wang, Yi Chen, Guo-Cheng Wang · Research Journal of Applied Sciences Engineering and Technology · 2013
Segmentation is a key process of 2-D barcode identification. In this study we propose a fast adaptive segmentation method that is based on morphological method which is suitable for kinds of 2-D barcode images with different scale, angle and sort. The algorithm is based on mathematical morphology, the basic idea of the algorithm is to use Multi-scale open reconstruction of mathematical morphology to transform the image continuously, then choose whether to terminate by the results of the adjacent image transformation and finally get the final segmentation results by further processing of the images obtain from termination.The proposed approach is applied in experiments on 2-D barcodes with complicated background. The results indicated that the proposed method is very effective in adaptively 2-D barcode image segmentation.