Facial expression recognition: a novel approach to captcha design

Abstract

Distinctive cognitive processes and analytical approaches are employed by humans and computers in the realm of emotion recognition, particularly when interpreting nuanced facial expressions. Leveraging these differences, we have engineered an advanced CAPTCHA system powered by a cutting-edge facial emotion recognition algorithm. This innovative CAPTCHA challenges users to replicate and align a specific facial expression with a reference image against a contextual backdrop. Following rigorous testing, we ascertained that the system exhibits less than a 1% susceptibility to security compromises. This method not only enhances the security mechanism of CAPTCHA but also introduces a more personalised interaction model, offering significant advantages for user groups such as the elderly. Through comprehensive user evaluations, we have confirmed that this CAPTCHA system surpasses traditional models in both recognition accuracy and processing velocity, demonstrating its substantial practical advantages.