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

Abstract

To extend the recognition scope and improve the recognition precision and efficiency,apositive recognition algorithm for fake plate vehicles is proposed based on fusion strategy in this paperFirst,the captured vehicle images are recognized by license plate recognition(LPR)algorithmAccording to the recognition result of LPR,the time difference of capture is obtained for two vehicle images that are classified as the sameBased 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 informationThen an improved multi-label algorithm is adopted to calculate the Nshortest paths between any two monitor locations in the traffic networkA vehicle′s weighted average velocity is obtained by using the path distance and time differenceA reliability of fake plate is further calculated according to the real-time traffic informationThus the second level of positive recognition is implemented by using the velocity informationExperiments 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