Jun 27, 2023 · After preprocessing comes the hard part, we can use various machine learning algorithms and techniques to break CAPTCHA. Convolutional Neural Networks (CNNs) and …

We have developed two algorithms to recognize a four-letter CAPTCHA image of 160-by-60 pixels. The first one, referred to as the “moving-window algorithm”, directly uses the well …

This study introduces a novel algorithm for recognizing CAPTCHA images without the need for segmentation. The algorithm utilizes deep learning techniques and ABI character grouping, …

Jul 6, 2020 · However using the concept of deep learning and computer vision, the very purpose of the CAPTCHAs can be defeated. This test can be passed automatically with the help of …

In our research, we introduce a CAPTCHA called zxCAPTCHA, mixing image-based, text-based, and cognitive-based CAPTCHA schemes’ characteristics and applying adversarial examples, …

Aimed at a commonly used text-based CAPTCHA, this project outlines some typical algorithms and summarizes the technological progress in text-based CAPTCHA breaking. CAPTCHAs …

In this research, we investigate a way to crack visual CAPTCHA tests by an automated deep learning based solution. The goal of this research is to investigate the weaknesses and …

Sep 17, 2020 · In this study, we present a new segmentation-free algorithm for recognizing CAPTCHA image. The algorithm is based on deep learning and uses ABIs with copies of the …

CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) is used to determine whether or not the user is a human, consisting of texts or images with …

Dec 13, 2017 · Very recently, an important shift in enterprise scale CAPTCHA implementations occurred – Google has begun to move away from text based CAPTCHAs toward image based …