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Gesture-based animated CAPTCHA

Gesture-based animated CAPTCHA PurposeThis paper aims to describe the development of a new experimental CAPTCHA (completely automated public turing test to tell computers and humans apart), which is supposed to provide better protection against spam bots compared to the existing captcha solutions.Design/methodology/approachIn the new CAPTCHA, the authors are using animated images of hand gestures to represent letters and numbers. A lot of people use sign language as their primary means of communication, but an automatic algorithm able to reliably recognize such gestures from videos without any additional data has yet to be developed.FindingsThe experiment showed that at first, it takes time for people who do not use sign languages in their everyday lives to adapt to the new CAPTCHA, but after several successful recognitions, they have no more trouble with it than with a typical captcha implementation.Originality/valueThe paper shows that people with little to no knowledge of sign languages can still recognize gestures on video relatively fast. Therefore, a gesture-based implementation can be used not only on websites aimed at sign language speakers but also as a general-purpose captcha service. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Information & Computer Security Emerald Publishing

Gesture-based animated CAPTCHA

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Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
2056-4961
DOI
10.1108/ICS-12-2014-0082
Publisher site
See Article on Publisher Site

Abstract

PurposeThis paper aims to describe the development of a new experimental CAPTCHA (completely automated public turing test to tell computers and humans apart), which is supposed to provide better protection against spam bots compared to the existing captcha solutions.Design/methodology/approachIn the new CAPTCHA, the authors are using animated images of hand gestures to represent letters and numbers. A lot of people use sign language as their primary means of communication, but an automatic algorithm able to reliably recognize such gestures from videos without any additional data has yet to be developed.FindingsThe experiment showed that at first, it takes time for people who do not use sign languages in their everyday lives to adapt to the new CAPTCHA, but after several successful recognitions, they have no more trouble with it than with a typical captcha implementation.Originality/valueThe paper shows that people with little to no knowledge of sign languages can still recognize gestures on video relatively fast. Therefore, a gesture-based implementation can be used not only on websites aimed at sign language speakers but also as a general-purpose captcha service.

Journal

Information & Computer SecurityEmerald Publishing

Published: Jul 11, 2016

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