机器学习Opencv和SVM的车牌识别系统源码+答辩PPT+报告

上传者: shooter7 | 上传时间: 2023-04-12 09:46:54 | 文件大小: 213.04MB | 文件类型: ZIP
系统相关介绍博客链接:https://blog.csdn.net/shooter7/article/details/129935028 摘要: 车牌识别是一项重要的模式识别研究方向,具有广泛的应用。它被视为安全和交通运行的核心技术,可用于自动收费、交通管制、边境保护、车辆盗窃等重要领域。然而,在某些情况下,由于车牌颜色不同而无法很好地工作。因此,车牌识别不仅具有广泛的应用,而且具有重要的研究意义。 本文提出了一种基于OpenCV和SVM的车牌识别系统。该系统通过对车牌图像进行预处理、特征提取和分类,实现对车牌的自动识别。具体来说,本文首先对车牌图像进行预处理,包括图像增强、去噪、二值化等操作,提高车牌图像的质量。然后,本文采用颜色特征、形状特征和纹理特征对车牌图像进行特征提取,提高车牌图像的识别准确性。最后,本文采用SVM算法对车牌图像进行分类,实现对车牌的自动识别。通过实验验证,本文所设计的车牌识别系统具有较高的识别准确性和速度,可以满足实际应用的需求。

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