包装印刷品条码质量检测方法

发布时间：2018-11-23 06:53

【摘要】：目的为保证商品条码在物流系统中的快速识别和信息传递,研究条码的质量检测方法。方法首先分出条码区域,考虑到条码的特殊属性,需要满足其可识读功能,设计针对EAN-13商品条码的印制质量检测方法,包括可识读检测和印刷缺陷检测。根据条码检测的国家标准,条码可识读检测部分,采用扫描反射率曲线分析法和条码质量分级法对条码的可识读性进行判定。条码缺陷检测部分经过条码校正、条码与字符的分割和条码大小的归一化等处理后,选定基于垂直投影的缺陷检测算法对条码的脱墨和污点缺陷进行检测。结果条码识读程序对合格品和缺陷品的识读准确率都为100%,条码缺陷检测算法程序的平均检测耗时为93.35 ms,检测准确率为94%。结论条码质量检测系统具有较高的检测准确率,并且能够很好地满足机器视觉缺陷检测速度的要求。
[Abstract]:In order to ensure the fast identification and information transmission of barcode in logistics system, the quality detection method of barcode is studied. Methods first of all, the barcode area is divided, and considering the special properties of the bar code, it is necessary to satisfy its readable function, and the printing quality detection method for EAN-13 commodity bar code is designed, including readable detection and printing defect detection. According to the national standard of bar code detection, bar code readable detection part, the scanning reflectivity curve analysis method and bar code quality classification method are used to judge the readability of bar code. After bar code correction, bar code and character segmentation and bar code size normalization, the defect detection algorithm based on vertical projection is selected to detect the deinking and stain defects of bar code. Results the accuracy of bar code reading for qualified and defective products was 100, and the average detection time of bar code defect detection algorithm was 93.35 ms,. Conclusion the bar code quality detection system has high detection accuracy and can meet the requirements of machine vision defect detection speed.
【作者单位】：深圳市裕同包装科技股份有限公司;武汉大学;
【分类号】：TS807

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