本文提出了一种新的车辆许可证盘子识别,并在此基础上提出了一种自适应图像分割方法-In this paper, a new algorithm for vehicle license plate identification is proposed, on the basis of a novel adaptive image segmentation technique (Sliding Windows) in conjunction with a character recogni

提出了一种复杂背景下的多车牌图像分割和识别方法，首先采用统计和特征匹配相结合的方法进行背景提取，将可能存在车辆的区域提取出来；然后分别对可能的车辆区域进行局部边缘检测，并使用车牌的先验知识确定车牌的位置和单个字符分割，包括车牌倾斜时的字符分割；最后使用PCA和神经网络相结合的方法精确识别车牌。-Proposed a multi-plate image segmentation and recognition method under a complex background, the first

BP神经网络的整个训练过程,中介真值程度度量，基于中介真值程度度量的图像分割MIMO OFDM matlab仿真。- The entire training process BP neural network, The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation MIMO OF