Recognizing Objects in Adversarial Clutter: Breaking a Visual CAPTCHA

@inproceedings{Mori2003RecognizingOI,
  title={Recognizing Objects in Adversarial Clutter: Breaking a Visual CAPTCHA},
  author={Greg Mori and Jitendra Malik},
  booktitle={CVPR},
  year={2003}
}
In this paper we explore object recognition in clutter. We test our object recognition techniques on Gimpy and EZGimpy, examples of visual CAPTCHAs. A CAPTCHA (“Completely Automated Public Turing test to Tell Computers and Humans Apart”) is a program that can generate and grade tests that most humans can pass, yet current computer programs can’t pass. EZ-Gimpy (see Fig. 1, 5), currently used by Yahoo, and Gimpy (Fig. 2,9) are CAPTCHAs based on word recognition in the presence of clutter. These… CONTINUE READING
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Toward island-ofreliability-driven very-large-vocabulary on-line handwriting recognition using character confidence scoring

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