FaceDCAPTCHA: Face detection based color image CAPTCHA

Authors:
Gaurav Goswami;Brian M. Powell;Mayank Vatsa;Richa Singh;Afzel Noore
Affiliations:
Indraprastha Institute of Information Technology (IIIT) Delhi, India;Lane Department of Computer Science and Electrical Engineering, West Virginia University, USA;Indraprastha Institute of Information Technology (IIIT) Delhi, India;Indraprastha Institute of Information Technology (IIIT) Delhi, India;Lane Department of Computer Science and Electrical Engineering, West Virginia University, USA
Venue:
Future Generation Computer Systems
Year:
2014

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Abstract

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.