车牌识别系统实现的方式主要分为两种
There are two ways to realize the license plate recognition system:
一种是静态图像图片的识别，另一种是动态视频流的实时识别。静态图像识别技术的识别有效率较大程度上受限于图像的抓拍质量，为单帧图像识别，目前市场产品识别速度平均为200毫秒；而动态视频流的识别技术适应性较强，识别速度快，它实现了对视频每一帧图像进行识别，增加识别比对次数，择优选取车牌号，关键在于较少的受到单帧图像质量的影响，目前市场产品识别较好的时间为10毫秒。
One is the recognition of still images, the other is the real-time recognition of dynamic video streams. The recognition efficiency of static image recognition technology is largely limited by the capture quality of the image. It is single frame image recognition. At present, the average recognition speed of products in the market is 200 milliseconds; The recognition technology of dynamic video stream has strong adaptability and fast recognition speed. It realizes the recognition of each frame of video image, increases the number of recognition and comparison, and selects the license plate number preferentially. The key is that it is less affected by the quality of single frame image. At present, the better time of product recognition in the market is 10 milliseconds.
车牌识别在高速公路车辆管理中得到广泛应用，电子收费(ETC)系统中，也是结合DSRC技术识别车辆身份的主要手段。
License plate recognition is widely used in highway vehicle management. In electronic toll collection (etc) system, it is also the main means of vehicle identification combined with DSRC technology.