Vehicle-License-Plate Recognition Based on Neural Networks

摘要：

A license plate recognition system based on neural networks was designed and developed.The system used a neural-network chip to recognize license plates.The chip combined video image processing module with neural network module by using equalized image processing algorithm and network classification algorithm.A set of interface circuit was developed for implementing license-plate-number recognition.Experiment results show the system can guarantee a very low error rate at an acceptable recognition time.

作者: YiQing Liu Dong Wei Ning Zhang MinZhe Zhao

作者单位: Control Theory and Control Engineering Beijing Institute of Civil Engineering and Architecture Xiche Tianjin KuGe technology Co.,LTD Haidian District,Beijing,China

会议类型: 国际会议

会议名称: 第八届IEEE信息与自动化国际会议(ICIC 2011)

会议地点: 深圳

会议语种:英文

页码: 363-366

在线出版日期: 2011-06-06（万方平台首次上网日期，不代表论文的发表时间）