A New Method for License Plate Characters Recognition Based on Sliding Window Search

In this paper, a new system for license plate characters recognition is proposed, on the basis of a novel characters recognition algorithm called sliding window search. This system includes license plate location, license plate characters pre-segmentation and characters recognition based on sliding window search. The Gaussian mixture model is used for background modeling and a Bayesian classifier based on the target tracking technology is used to monitor all vehicles within the scene. The brightness difference between the license plate characters and background is considered. Based on the priori information about the characters width, the license plate characters pre-segmentation is easily acquired. Finally, sliding window search is conducted on the license plate characters. Compared with other license plate characters recognition systems, this system has a high recognition accuracy and has good robustness even in a complex environment.