2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04) - Volume 2 Distortion Estimation Techniques in Solving Visual CAPTCHAs Washington, D.C., USA June 27-July 02 ISBN: 0-7695-2158-4
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CVPR.2004.84
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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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