Face recognition CAPTCHA made difficult

A CAPTCHA is a Turing test to distinguish human users from automated scripts to defend against internet adversarial attacks. As text-based CAPTCHAs (TBC) have become increasingly difficult to solve, image-based CAPTCHAs, and particularly face recognition CAPTCHAs (FRC), offer a chance to overcome TBC limitations. In this paper, we systematically design and implement a practical FRC, informed by psychological findings. We use gray-scale and binary images, which are computationally inexpensive to generate and deploy. Furthermore, our FRC complies with CAPTCHA design guidelines, thereby ensuring its robustness.

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