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Deep Learning of Web Page Verification Code-taking Project for Implementation of Remedial Instruction-Technology-Base Test Website as an Example

机译:以深度学习为基础的以补救性教学技术为基础的测试网站的网页验证代码获取项目

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This study using Python integrates tools such as Selenium, Pillow and WebDriver for Chrome, automatically logs in to the web page -Project for implementation of remedial instruction-technology-based test website to capture graphic verification code image, and uploads to Google Cloud Vision API which provide pre-trained models. The deep learning model recognizes the content and reads the text in the picture. The result is more than 80% recognition rate successfully login to the website.
机译:使用Python进行的这项研究集成了Selenium,Pillow和WebDriver for Chrome等工具,自动登录到网页-用于实施基于补救性指令技术的测试网站的项目,以捕获图形验证代码图像,并上传到Google Cloud Vision API提供预训练的模型。深度学习模型识别内容并读取图片中的文本。结果是成功登录该网站的识别率超过80%。

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