As a special computer vision system, the License Plate Recognition System (LPR) can capture a vehicle automatically and identify the plate numbers in the image. It can be used in the road tolling system, access control system, stolen vehicle identification system and intelligent transportation system and so on, contributing a lot to the automation of the transportation management.
LPR consists of four modules in general, those are: image preprocessing: license plate locating, character segmentation and character recognition. Focus on difficulties of LPR, the paper studies the key technologies of it, and finally settles down a series of effective algorithms used in LPR based on experimental results.
Testing some representative vehicle license plates, I can achieve the good accuracy.
