A positive recognition algorithm for fake plate vehicles based on fusion strategy

To extend the recognition scope and improve the recognition precision and efficiency, a positive recognition algorithm for fake plate vehicles is proposed based on fusion strategy in this paper. First, the captured vehicle images are recognized by license plate recognition (LPR) algorithm. According to the recognition result of LPR, the time difference of capture is obtained for two vehicle images that are classified as the same. Based on the principle that it is unreasonable for a vehicle to appear in the same place or different places in an extremely short time, the first level of positive recognition is implemented by using the time difference information. Then an improved multi-label algorithm is adopted to calculate the N shortest paths between any two monitor locations in the traffic network. A vehicle's weighted average velocity is obtained by using the path distance and time difference. A reliability of fake plate is further calculated according to the real-time traffic information. Thus the second level of positive recognition is implemented by using the velocity information. Experiments are conducted on the real world data from an intelligent transportation System (ITS). And the experimental results show that the proposed algorithm is effective to perform the positive recognition for fake plate vehicles.