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Face recognition CAPTCHA
G. Goswami, , , B. Powell, A. Noore
Published in
Pages: 412 - 417
CAPTCHA is one of the Turing tests used to classify human users and automated scripts. Existing CAPTCHAs, especially text-based CAPTCHAs, are used in many applications, however they pose challenges due to language dependency and high attack rates. In this paper, we propose a face recognition-based CAPTCHA as a potential solution. To solve the CAPTCHA, users must correctly find one pair of human face images, that belong to same subject, embedded in a complex background without selecting any nonface image or impostor pair. The proposed algorithm generates CAPTCHA that offer better human accuracy and lower attack rates compared to existing approaches. © 2012 IEEE.
About the journal
Journal2012 IEEE 5th International Conference on Biometrics: Theory, Applications and Systems, BTAS 2012