现代电子技术2017，Vol.40Issue(15)：183-186,4.DOI:10.16652/j.issn.1004-373x.2017.15.048
差分进化算法和神经网络的车牌自动识别模型
Vehicle license plate automatic recognition model based on differential evolution algorithm and neural network
摘要
Abstract
Since the traditional edge contour detection method has poor recognition performance while the vehicles are shielded due to their close distance and overload traffic,a vehicle license plate automatic recognition method based on differen-tial evolution algorithm and neural network is proposed to improve the vehicle automatic recognition and detection abilities. The extracted vehicle video monitoring image is performed with external contour rectangular grid division. The differential evolution algorithm is used to traverse the sub-block of the license plate test sample image continuously to segment the license plate image feature and strengthen the information point. The neural network algorithm is adopted to classify the information of the license plate feature,and recognize the license plate. The test results show that the method has high recognition accuracy of license plate,and high reliability of model recognition.关键词
差分进化/神经网络/车牌识别/图像处理Key words
differential evolution/neural network/license plate recognition/image processing分类
信息技术与安全科学引用本文复制引用
穆日磊..差分进化算法和神经网络的车牌自动识别模型[J].现代电子技术,2017,40(15):183-186,4.
