ABSTRACT
Automatic license plate recognition (ALPR) is one of the most important aspects of applying computer techniques towards intelligent transportation systems. ALPR System uses computer vision and pattern recognition technology to management modern intelligent transportation. ALPR System is a smart identification system which based on digital image processing, pattern recognition and computer vision technology. ALPR System can identification license plate number because each vehicle have only one vehicle license plate number. Without affecting the operation of the vehicle, the computer can identify the license plate number automatically, which can reduce the complexity of the traffic management. Vehicle license automatic identification technology has important effect in vehicles crossing the bridge, measure the traffic indicators and automatic vehicle identification. Vehicle license automatic identification technology has played an important role in many different aspects.
This paper focuses on the key technologies of the vehicle license plate recognition system, which include image preprocessing, vehicle license orientation and identification. In the part of image preprocessing introduces gray-scale image and image enhancement technology. On the other side, this paper also expounds on the value of the two images and proofread the gradient image. For vehicle licenses plate identification technology, the point is on the image segmentation method. This part also introduces the character recognition technique.
In this paper, the design of the orientation and segmentation vehicle license plate system has two major modules. The most important is the algorithm analysis and the principle of the two modules. The end of paper is the experimental results.
