摘要：Support Vector Machine (SVM) as an important theory of machine learning and patternrecognition has been well applied to small sample clustering learning, nonlinear problems, outlierdetection and so on. The license plate automation recognition system has received extensiveattention as an important application of machine learning and pattern recognition in intelligent transport.The license plate recognition system is composed of three parts, license plate preprocessing and location, license plate character segment, license plate character recognition. In this paper, we mainly introduce the flow of license plate recognition, related technology and support vector machinetheory. Experimental results show the effectiveness of our method.
