像素到数据：Selenium，OpenCV，Tesseract，Python构建的智能解析系统
基于Selenium与OCR技术的网页信息智能提取方案
一、应用场景解析
在Web自动化测试和数据分析领域，经常需要处理动态渲染的网页信息，特别是当页面元素以图像形式呈现时。本文介绍的解决方案结合了浏览器自动化与图像识别技术，有效解决了以下典型场景：
- 动态渲染的可视化数据提取
- 反爬机制中的图像验证码识别
- 无法通过API获取的图形化数据采集
- 页面局部区域的实时信息监控
二、技术架构设计
2.1 系统组成
- 浏览器控制层：Selenium实现页面交互
- 图像处理层：OpenCV完成预处理
- OCR识别层：Tesseract进行文字提取
- 逻辑控制层：Python协调各模块运作
技术架构流程图
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