基于Python+OpenCV智能答题卡识别系统-深度学习和图像识别算法应用(含Python全部工程源码)+训练与测试数据集

上传者: 31136513 | 上传时间: 2024-02-23 15:18:35 | 文件大小: 38.51MB | 文件类型: RAR
1.本项目以Python语言和OpenCV图像处理库为基础,在Windows平台下开发答题卡识别系统,建立精确的计算机视觉算法,实现对答题卡批量识别、信息导出至Excel表格等功能,使判卷轻量化、准确化、高效化。 2.项目运行环境:Python环境、OpenCV环境、图像处理工具包、requests、 base64和xlwt模块。 3.项目包括4个模块:信息识别、Excel导出、图形用户界面和手写识别。其中基于OpenCV算法,实现对图片中选项信息、学生身份信息的检测;利用Python标准GUI库Tkinter实现图形用户界面功能;针对个人信息部分,调用智能识别API对学院、姓名进行手写文字识别,对班级、学号进行数字识别。 4.项目博客: https://blog.csdn.net/qq_31136513/article/details/132598680

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