Avatar CAPTCHA: Telling computers and humans apart via face classification

@article{DSouza2012AvatarCT,
  title={Avatar CAPTCHA: Telling computers and humans apart via face classification},
  author={Darryl D'Souza and Phani C. Polina and Roman V. Yampolskiy},
  journal={2012 IEEE International Conference on Electro/Information Technology},
  year={2012},
  pages={1-6}
}
This paper introduces Avatar CAPTCHA, an image based approach to distinguish human users from computer programs (bots). The proposed CAPTCHA asks users to identify avatar faces from a set of 12 grayscale images comprised of a mix of human and avatar faces. Experimental results indicate that it can be solved 62% of the time by human users with an average success time of 24 seconds and a positive user rating of 90%. It is designed to be secure against computer programs (bots). Using brute force… CONTINUE READING
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Avatar CAPTCHA: Telling computers and humans apart via face classification

  • D. D’Souza, P. C. Polina, R. V. Yampolskiy
  • In Proc. IEEE International Conference on Electro…
  • 2012
Highly Influential
6 Excerpts

CAPTCHA: Telling computers and humans apart via animal image classification

  • Darryl D’Souza, Jacob Matchuny, Roman Yampolskiy. Zoo
  • In The Third ASE International Conference on…
  • 2014
2 Excerpts

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