loading...
Distortion Estimation Techniques in Solving Visual CAPTCHAs
Washington, D.C., USA June 27-July 02
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CVPR.2004.842004 IEEE Computer Society Conference ...
 This Article 
 
PDF
HTML
IEEE Xplore Subscribers
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Gabriel Moy, Areté Associates
Nathan Jones, Areté Associates
Curt Harkless, Areté Associates
Randall Potter, Areté Associates
This paper describes two distortion estimation techniques for object recognition that solve EZ-Gimpy and Gimpy-r, two of the visual CAPTCHAs ("Completely Automated Public Turing test to tell Computers and Humans Apart") with high degrees of success. A CAPTCHA is a program that generates and grades tests that most humans can pass but current computer programs cannot pass.We have developed a correlation algorithm that correctly identifies the word in an EZ-Gimpy challenge image 99% of the time and a direct distortion estimation algorithm that correctly identifies the four letters in a Gimpy-r challenge image 78% of the time.
Citation:
Gabriel Moy, Nathan Jones, Curt Harkless, Randall Potter, "Distortion Estimation Techniques in Solving Visual CAPTCHAs," cvpr, vol. 2, pp.23-28, 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04) - Volume 2, 2004
Usage of this product signifies your acceptance of the Terms of Use.