基于车牌识别+移动支付的高速公路收费系统设计与实现

Research on Highway Toll Collection System Based on“License Plate Recognition+Mobile Payment”

为提高高速公路通行效率,在原有收费系统基础上提出基于“车牌识别+移动支付”的高速公路收费系统,无需额外安装设备即可实现不停车收费。系统核心技术为车牌识别与移动支付。车牌识别采用小波降噪技术对图像进行降噪处理,采用数学形态学方法进行车牌定位,采用垂直投影法进行字符分割,采用ORC算法进行字符识别;移动支付通过调用第三方支付平台(微信或支付宝)接口方式实现。对车牌图像进行降噪处理后,车牌识别正确率达到96%,比未降噪处理提高3%;与ETC收费车道相比,从该系统入口车道通行时间缩短7秒,出口车道缩短8秒,试验结果表明该系统提高了高速公路通行效率。

In order to enrich the highway toll collection method and further improve the highway traffic efficiency,this paper proposes the highway toll collection system based on“license plate recognition+mobile payment”on the basis of the original toll collection sys⁃tem,and realize non-stop toll collection without installing additional equipment.License plate recognition and mobile payment is the core technology of the system,the license plate recognition process uses wavelet noise reduction on the image noise reduction process⁃ing,adopts mathematical morphological method for license plate positioning and vertical projection method for character segmentation as well as ORC algorithm for character recognition.Mobile payment is realized by calling the third-party company payment platform(WeChat and Alipay)interface.After noise reduction of license plate images,the correct rate of license plate identification reached 96%,which is 3%higher than that without noise reduction.Compared with the ETC toll lane,the travel time of the entrance lane was reduced by 7 seconds and the exit lane was reduced by 8 seconds after using this system;the test results showed that this system im⁃proved the efficiency of highway traffic.