摘要
智能化交通管理是未来发展的大方向。车牌识别便于人们对车辆进行管理,对车牌的智能高效识别日趋迫切。人工智能技术不断发展,在各行各业都得到了广泛的应用。为此,采用卷积神经网络的方法对车牌进行智能识别,以提高车牌识别的效率和速度。试验结果证明,所提出的算法在车牌识别中性能良好,具有良好的应用和推广价值。
Intelligent traffic management is the general direction of future development.License plate recognition is convenient for people to manage vehicles.Intelligent and efficient license plate recognition is becoming more and more urgent.With the continuous development of artificial intelligence technology,it has been widely used in all walks of life.Therefore,the convolution neural network method is used for intelligent license plate recognition to improve the efficiency and speed of license plate recognition.The experimental results show that the proposed algorithm has good performance in license plate recognition and has good application and popularization value.
作者
史敏红
李树文
杨志
SHI Minhong;LI Shuwen;YANG Zhi(Shanxi Enginerring Vocational College,Taiyuan 030032,China)
出处
《电视技术》
2021年第9期89-91,99,共4页
Video Engineering
基金
山西工程职业学院2021年度院级科研类立项课题(No.KY2021-21)
关键词
卷积神经网络
车牌识别
智能交通
人工智能
convolutional neural network
license plate recognition
intelligent transportation
artificial intelligence