License plate recognition system originated in the 1980s, which mainly used to identify stolen vehicles. In the 1990s, with the development of computer technology and the improvement of computing performance, the study of license plate recognition also entered a boom. It is used for car license plate recognition in parking lots, vehicle identification at toll stations, highway speeding detection, urban traffic tracking and hit-and-run vehicle tracking and identification.
the recognition with three steps: license plate location, license plate extraction, character recognition; and they are complementary. The accuracy of the system is affected by these steps.
The license plate recognition can be realized in two ways: one is static image recognition, the other is real-time recognition of dynamic video stream. Static image recognition is a single frame image recognition, its efficiency is great limited by the quality of image capture; However, dynamic video stream has strong adaptability and fast recognition speed. It can recognize each frame of video, increase the number of recognition and comparison, and the license plate number will be selected based on the analysis. In fact, no matter which way is inseparable from the two most important hardware products——industrial camera and industrial lens.
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