车号图像处理与识别系统的研制

The development of number plate’s image manipulation and identification system

文章介绍了用于火车货车的车皮号及自重数字图像识别的计算机图像处理与识别系统的实践。使用滤波和非线性灰度扩展,使显示图像获得改善,采用非线性路径搜索法分割图像,然后用模糊识别多级特征的方法,获得了较高的识别率和识别速度。

This article introduces the practice of the computer image processing and identification system of the railway wagon and the weight of its own image recognition. The use of filtering and non-linear gray-scale expansion can make the image be improved. Then the use of the segmentation by non-linear path search image , and the use of fuzzy identification of the characteristics of the multi-stage approach to obtain a higher recognition rate and speed of identification.