基于机器学习的python车牌识别系统源码.zip

上传者: 55305220 | 上传时间: 2022-12-01 16:27:15 | 文件大小: 17.83MB | 文件类型: ZIP
基于机器学习的python车牌识别系统源码.zip将汽车照片的绝对路径输入,先进行图像预处理,通过神经网络分类,最后输出车牌号 实现程序: Gui.py 2. 图像预处理 将源图片进行均值迁移,然后筛选蓝色,进行开操作消除噪声,进行闭操作填充车牌,然后进行矩形轮廓筛选,标记并剪切图片,然后压缩分割字符,调整字符图片大小,将字符图片写入文件。 实现程序: Find_card.py Spilt_char.py Op.py 3. 训练神经网络 设置好神经网络参数以及将训练集加标签归一化后,基于tensorflow进行训练,根据数字字母训练集和汉字训练集训练好两个网络模型写入文件。 实现程序: Bp_char.py Bp_chinese.py 4. 字符识别 先将预处理好的图片归一化,然后特征提取,分别使用训练好的分类器进行分类,然后再合并输出。 实现程序 Predict.py 5. 环境与依赖 语言:python3.7 依赖:opencv3、tensorflow、numpy、Tkinter 分类器:全连接卷积神经网络

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