cnn_for_captcha and CNN_keras
These are competitors offering alternative CNN-based approaches to the same problem: both implement convolutional neural networks for CAPTCHA recognition, targeting the same use case with similar technical stacks (deep learning frameworks) but different codebases.
About cnn_for_captcha
anexplore/cnn_for_captcha
图片类验证码识别(数字验证码/缺口验证码/文字验证码/旋转验证码/相似物体验证码)
This project helps operations engineers and anyone dealing with website automation to automatically solve various types of image-based CAPTCHAs. It takes CAPTCHA images as input and outputs the recognized text, the required slide displacement, or the correct rotation angle, enabling automated interaction with web forms and processes. It's designed for users who need to bypass common visual verification challenges.
About CNN_keras
skyduy/CNN_keras
CNN | Keras/PyTorch | CAPTCHA recognition（卷积神经网络、Keras/PyTorch框架、验证码识别）
This helps automate the reading of those wavy, distorted image puzzles designed to prove you're human. You feed it CAPTCHA images like "5WNAU.jpg", and it tells you the letters and numbers within them. This is for anyone who needs to automatically process information from websites or systems that use these specific visual verification tests.
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