Taxi License Plate Block Detection Based on Complex Environment

Abstract

This article aims at Beijing Traffic Enforcement Corps off-site law enforcement issues. This paper proposes a novel detection method for taxi license plate block. First of all, selecting the taxi from the social vehicle; Secondly, Adaptive Boosting (Adaboost) algorithm will be used to train the license plate to locate the license plate of the taxi; eventually the adaptive threshold method will be used to judge the license plate blockage and take the evidence. The existing research on the license plate is mainly on the license plate recognition, but this article is based on the license plate recognition, and then to achieve the license plate block detection and evidence collection, for traffic law enforcement officers to punish the illegal taxi. The experimental results show that the proposed detection method of license plate block is effective.