1. A method comprising: receiving, at a processor, an image including a representation of a license plate of a vehicle when the vehicle is proximate to a current toll collection point; performing, by the processor, a first optical character recognition (OCR) process on the image to determine a candidate license plate string; determining, by the processor, a candidate license plate identification associated with the candidate license plate string; determining, by the processor, an OCR confidence level for the candidate license plate identification based on the first OCR process; performing, by the processor, a behavioral analysis of geospatial vehicle position data related to the candidate license plate identification; generating, by the processor, a behavioral analysis result based on the analysis of the geospatial vehicle position data; determining, by the processor, an overall confidence level for the candidate license plate identification responsive to the OCR confidence level and the behavioral analysis result; comparing the overall confidence level to a minimum confidence threshold; and if the determined overall confidence level is above the minimum confidence threshold, communicating the candidate license plate information as a correctly identified license plate identification to a transaction processing system to thereby facilitate billing and collection of a toll associated with the current toll collection point.
9. The method of claim 1 , wherein if the determined overall confidence level does not exceed the minimum confidence threshold, the method further comprises: displaying the image at the toll collection point on a graphical user interface in communication with the processor; receiving, from the graphical user interface, an external license plate identification for the image; and updating a license plate database with the external license plate identification.