摘要
随着工业自动化技术的发展,国内不少工厂实现了生产过程自动化管理。但是对于生产和物流传送流水线上产品条形码的检测,由于运行速度快,条码品种多,距离变化大,传统的基于光电转换的条码识读技术已经显得无能为力。本文提出基于机器视觉的条码自动识别技术,利用高速CCD摄像机得到条码的图像,通过几何变换,滤波去噪,阈值处理等有效的图像处理和快速模式识别方法,结合优化设计的条码码制数据库实现了流水线物品条码的快速、精确识读。
With the development of industrial automatization, many internal factories have realized automatic management in course of production. However, when the bar codes are recognized in producing and on-line delivery, the traditional photoelectric method became inefficient because of the fast speed, variety of products and difference in distance. A new method was introduced in this paper to recognize the bar codes automatically based on machine vision. Using efficient image manipulations like geometric transformation, filter, threshold and so on, fast mode-identify method and a database well designed, the bareode pictures captured by high-speed CCD could be recognized fast and accurately.
出处
《电子测量与仪器学报》
CSCD
2006年第6期102-105,共4页
Journal of Electronic Measurement and Instrumentation
基金
安徽省科技攻关重点资助项目(编号:01022010)
