CAPTCHA RECOGNITON USING CNN
DATASET ---> https://drive.google.com/drive/folders/1j5kx7DPwmHnN3pm_P2a1ZVv3IQR1xdxk
** Captcha generation using Convolutional Neural Networks (CNNs) involves training a model to recognize characters within images and generate captchas that are challenging for automated systems to solve.
** The project typically begins with collecting a dataset of various font styles, sizes, and backgrounds to create diverse captcha samples.
** CNNs are then employed to extract features from these captcha images, enabling the model to learn the patterns and variations of characters.
** Data augmentation techniques such as rotation, scaling, and noise addition may be applied to increase the diversity of training data and improve the model's robustness.
** Once trained, the CNN model can generate new captchas with random characters and backgrounds, contributing to enhanced security measures against automated attacks on web applications.