FaceDCAPTCHA: Face detection based color image CAPTCHA

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-bas...

Full description

Saved in:
Bibliographic Details
Published in:Future generation computer systems 2014-02, Vol.31, p.59-68
Main Authors: Goswami, Gaurav, Powell, Brian M., Vatsa, Mayank, Singh, Richa, Noore, Afzel
Format: Article
Language:English
Subjects:
CAPTCHA
Face detection
Web security
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:0167-739X
1872-7115
DOI:10.1016/j.future.2012.08.013