A Study on Robustness Evaluation of Weave Filters against Reverse Image Search Attacks on CAPTCHA

In recent years, CAPTCHAs have been used in a variety of online services. A typical example is reCAPTCHA v2, which uses a system to select the correct answer from a set of images given in a question text. However, there is a possibility that a computer program can break through the CAPTCHA by automatically recognizing each image in the image set and deriving the subject of the image. In this paper, we propose a CAPTCHA that uses processed images that are difficult for search engines and AI to recognize. Experiments will be conducted to verify and evaluate the proposed method’s high accuracy rate for humans and low accuracy rate for Google’s reverse image search and Google lens. We will discuss the issues that have been found.