文章结合实例，阐述了运用OLAP技术对基于车牌识别的交通流数据进行结构分析的方法及应用展望。
This thesis illustrates examples of the methods on structure analysis of traffic flow data based on Vehicle License Plate Recognization with OLAP technology and its application prospect.
采用网络数据库技术，构建了基于车牌照识别的高速公路不停车收费的模拟系统。
Then an applied electronic toll collection system is founded based on license plate recognition technique. This system is applied to highway station with network database.
方法通过对车牌识别技术国内外现状的分析和对各类车牌识别技术的对比说明，提出了一种基于粗网格神经网络的车牌文字识别方法。
The method of recognizing rough grid features based on neural network are proposed, after literature review and comparison of generally used recognition method on vehicles license plates.
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