车牌定位与识别系统,首先将彩色图像转化为256灰度图像,然后用边缘检测和形态学等实现定位,再用神经网络方法实现字符识别.-plates positioning and identification system will first color image into a 256 grayscale image, Then Edge Detection and morphology, and so on to achieve positioning, and then neural network

车牌检测与识别技术的相关技术： 提出一种梯度增强法对图像边缘进行增强, 该方法主要通过对图像本身信息进行简单梯度变换以突出图像边缘, 并辅以数学形态学中的膨胀法实现牌照的快速定位. 在字符分割部分, 给出了最小面积旋转法以确定牌照的最佳旋转角, 并采用垂直投影法分割牌照中的字符 -License plate detection and recognition technology related technologies: a gradient-enhanced

车牌定位算法，基于字符轮廓与形态学处理，识别率较高-License plate location algorithm, based on character profiles and morphology, a high recognition rate

一个简单易用的车牌自动识别算法，可以从图中自动选择车牌，基于数学形态学完成字符提取，最后经过字符匹配完成车牌识别。-A simple-to-use automatic license plate recognition algorithm can automatically select the license plates from the figure, based on mathematical morphology complete character extraction, and f