Portal de Periódicos da CAPES

FaceDCAPTCHA: Face detection based color image CAPTCHA

2012; Elsevier BV; Volume: 31; Linguagem: Inglês

10.1016/j.future.2012.08.013

1872-7115

Gaurav Goswami, B. M. Powell, Mayank Vatsa, Richa Singh, Afzel Noore,

Biometric Identification and Security

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.