Design and Research of Vehicle Image Processing in ETC System Based on PCNN Model

Abstract

ETC (Electronic Toll Collection) system is used in tollgate of highway. ETC system can automatically complete toll transaction. And, ETC can effectively settle and improves lots of problem in current traffic system. ETC system contains RSU, OBU, road controller unit, collection management center, and other auxiliary unit [1]. PCNN (Pulse coupled neural network) is a principle which describes ocular neural cell activity of mammal visual cortex. And this principle is widely applied to image processing, voice recognition, fault diagnosis, pattern recognition, and decision optimization. Recently, ETC system just save vehicle image to data server. But, in ETC system, vehicle image processing is necessary, and is a key part. While, the time of vehicle image processing is limited. This paper describes a design of vehicle image processing based on PCNN model. Though the test in laboratory, the authors prove that PCNN can be effectively used in vehicle image processing.