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FaceDCAPTCHA: Face detection based color image CAPTCHA
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DOI：10.1016/j.future.2012.08.013.png)
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Abstract
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With data theft and computer break-ins becoming increasingly common, there is a great need for secondary authentication to reduce automated attacks while posing a minimal hindrance to legitimate users. CAPTCHA is one of the possible ways to classify human users and automated scripts. Though text-based CAPTCHAs are used in many applications, they pose a challenge due to language dependency. In this paper, we propose a face image-based CAPTCHA as a potential solution. To solve the CAPTCHA, users must correctly identify visually-distorted human faces embedded in a complex background without selecting any non-human faces. The proposed algorithm generates a CAPTCHA that offers better human accuracy and lower machine attack rates compared to existing approaches. (C) 2012 Elsevier B.V. All rights reserved.
Keywords:
CAPTCHA
Face detection
Web security
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