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» Distortion Estimation Techniques in Solving Visual CAPTCHAs
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CVPR
2004
IEEE
14 years 6 months ago
Distortion Estimation Techniques in Solving Visual CAPTCHAs
Abstract-- This paper describes two distortion estimation techniques for object recognition that solve EZ-Gimpy and Gimpy-r, two of the visual CAPTCHAs ("Completely Automated ...
Gabriel Moy, Nathan Jones, Curt Harkless, Randall ...
NIPS
2008
13 years 6 months ago
Breaking Audio CAPTCHAs
CAPTCHAs are computer-generated tests that humans can pass but current computer systems cannot. CAPTCHAs provide a method for automatically distinguishing a human from a computer ...
Jennifer Tam, Jirí Simsa, Sean Hyde, Luis v...
WCRE
2008
IEEE
13 years 11 months ago
Reverse Engineering CAPTCHAs
CAPTCHAs are automated Turing tests used to determine if the end-user is human and not an automated program. Users are asked to read and answer Visual CAPTCHAs, which often appear...
Abram Hindle, Michael W. Godfrey, Richard C. Holt
CHI
2005
ACM
13 years 6 months ago
Designing human friendly human interaction proofs (HIPs)
HIPs, or Human Interactive Proofs, are challenges meant to be easily solved by humans, while remaining too hard to be economically solved by computers. HIPs are increasingly used ...
Kumar Chellapilla, Kevin Larson, Patrice Y. Simard...
CVPR
2011
IEEE
13 years 1 months ago
Camera Calibration with Lens Distortion from Low-rank Textures
We present a simple, accurate, and flexible method to calibrate intrinsic parameters of a camera together with (possibly significant) lens distortion. This new method can work u...
Zhengdong Zhang, Yasuyuki Matsushita, Yi Ma