Neural Networks CAPTCHA GAN

Captcha Bypass Generation Using GANs

Developed GANs (Generative adversarial networks) to bypass and synthesize Captcha images, aiming to evaluate the robustness of Captcha security mechanisms.

PyTorch Neural Networks Python Computer Vision

Project Overview

This project leverages Generative Adversarial Networks (GANs) to generate realistic and complex captcha images, which are then used to train Convolutional Neural Networks (CNNs) for robust visual captcha recognition. The GAN is trained on a dataset of real captchas and is capable of producing new, diverse samples that improve the performance of downstream OCR models.

What It Does

• Generates synthetic captcha images using GANs
• Builds refined datasets for training and evaluating OCR models
• Trains CNNs for accurate captcha recognition
• Improves robustness against complex and adversarial captchas

Core Components

GAN Model

Trained to generate realistic captcha images that mimic real-world distributions.

CNN OCR

Convolutional Neural Network trained on both real and GAN-generated captchas for robust recognition.

Captcha Generator API

Live demo below: click Generate to see a new captcha image generated by the backend API.