基于支持向量机算法的伊朗车辆车牌自动识别系统

M. Aghaie, F. Shokri, M. Y. Tabari
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引用次数: 3

摘要

现在路上的汽车比过去多得多。因此,如果不使用计算机技术,控制和管理大量的交通几乎是不可能的。本文介绍了一种基于三个主要步骤的智能车牌识别系统的设计与实现。该过程包括车牌定位检测、字符分割和字符识别。在本研究中,我们使用分类器svm来检测字符。结果表明,与神经网络等类似算法相比,该系统的性能有所提高。值得一提的是,识别方法在各种条件下进行了测试,并描述了结果。关键词:车牌识别,形态学运算,直方图,边缘检测,SVM分类器
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Automatic Iranian Vehicle License Plate Recognition System Based on Support Vector Machine (SVM) Algorithms
There are far more cars on the road now than there used to be. Therefore, Controlling and managing the huge volume of traffic is virtually impossible without the use of computer technology. This paper represents design and implement of an intelligent system for license plate recognition based on three main steps. This process includes the detection of license plate location, character segmentation and character recognition. In this study, we used Classifier svm to detect the characters. According to the results, the performance of the proposed system is better compared to similar algorithms such as neural network. It is worth mentioning that Recognition Approach is tested in various conditions and results are described. Keyword - Vehicle license plate recognition, Morphology Operations, Histogram, The edge detection, Classifier SVM DOI: 10.18495/comengapp.21.161174
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