基于数学形态学的二维条码识别

边缘模糊会导致二维条码识别率下降。本文提出了一种基于Hough变换和数学形态学相结合的二维条码识别算法,得到了清晰的条码边缘,从而有效地降低了边缘模糊对条码识别的影响。文中选取PDF417二维条码为应用对象,利用Hough变换和数学形态学对二维条码进行识别,选择合适的结构元素。实验结果表明,基于数学形态学对二维条码的识别算法能够更有效地识别条码边界,显著地提高了条码的识别率。

Recognition of theTwo-Dimension Bar Code Based on Mathematical Morphology

The blurred edge causes the decline of the two-dimension barcode recognition rate. A novel recognition algorithm based on the Hough transform and mathematical morphology is proposed in this paper, getting the clear barcode edge. Therefore the blurred edge’s effect on barcode’s identification can be effectively cut down. By applying the PDF417 two-dimension barcode as the target, the paper utilizes the identication calculation method based on mathematical morphology and the Hough transform, chooses suitable structure elements. The result shows that the two-dimension barcode identification algorithm based on mathematical morphology can identify barcode’s edge more effectively,and strikingly raise the barcode’s identification ratio.