Title :
Avatar CAPTCHA: Telling computers and humans apart via face classification
Author :
Souza, Darryl D. ; Polina, Phani C. ; Yampolskiy, Roman V.
Author_Institution :
Comput. Eng. & Comput. Sci., Univ. of Louisville, Louisville, KY, USA
Abstract :
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 attack the success rate for a bot to solve it is 1/4096.
Keywords :
Turing machines; avatars; face recognition; human computer interaction; image classification; CAPTCHA; avatar face identification; bot; brute force attack; computer program; face classification; grayscale image; human face; image based approach; Avatars; Computers; Databases; Face; Gray-scale; Humans; Security; ASIRRA; CAPTCHA; avatars; bots; security;
Conference_Titel :
Electro/Information Technology (EIT), 2012 IEEE International Conference on
Conference_Location :
Indianapolis, IN
Print_ISBN :
978-1-4673-0819-9
DOI :
10.1109/EIT.2012.6220734
