CAPtcha Solver

CAPTCHA solvers aim to automate the solution of CAPTCHAs, tests designed to distinguish humans from bots. Current research focuses on leveraging advanced deep learning models, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs), to overcome increasingly sophisticated CAPTCHA designs, such as those incorporating image distortion, adversarial examples, and audio challenges. This research is significant because it highlights the ongoing arms race between CAPTCHA developers and those seeking to circumvent them, impacting website security and the accessibility of online services for visually impaired users. The development of robust CAPTCHA solvers also contributes to advancements in computer vision, speech recognition, and other related fields.