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Research on License Plate Recognition Algorithm based on Support Vector Machine

机译:基于支持向量机的车牌识别算法研究

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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.
机译:支持向量机(SVM)作为机器学习和模式识别的重要理论,已经很好地应用于小样本聚类学习,非线性问题,离群值检测等。车牌自动识别系统作为机器学习和模式识别在智能交通中的重要应用受到了广泛的关注。车牌识别系统由车牌预处理和定位,车牌字符段,车牌字符识别三部分组成。本文主要介绍车牌识别流程,相关技术和支持向量机理论。实验结果表明了该方法的有效性。

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