Movtcha: A Captcha based on human cognitive and behavioral features analysis

Abstract

We propose a new approach to Captcha which estimates human cognitive ability, in particular visual search ability, to differentiate humans from computers. We refer to this Captcha as Movtcha (Matching Objects by Visual Search To Tell Computers and Humans Apart). The design of Movtcha takes into account the analysis of human behavior to minimize noise during cognitive feature estimation. Our empirical results suggest that Movtcha can provide accuracy and usability comparable to other established Captchas. Our system is suitable for large scale applications since image selection, challenge generation and response evaluation are automated. Movtcha, unlike other Captchas, surpasses language and experience barriers by presenting both challenge and response in clear form and therefore can be used by people all across the world.