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.

KEYWORDS:

• CAPTCHA
• expression recognition
• elderly group
• micro expressions

Acknowledgments

This research was supported by the Zhejiang Basic Public Welfare Research Program, Children’s Dyslexia and Rehabilitation Application Research Project, project number LGF20F020019.

Disclosure statement

The authors declare that there is no conflict of interest regarding the publication of this paper. There have been no financial or personal relationships with other people or organizations that could inappropriately influence or bias the work presented in this document. This includes, but is not limited to, employment, consultancies, stock ownership, honoraria, paid expert testimony, patent applications/registrations, and grants or other funding. The integrity, objectivity, and fairness of the research conducted and presented herein have been maintained at all times, free from any undue influence or interference.