Framework for Evaluation of Text Captchas

Provided by: Association for Computing Machinery
Topic: Security
Format: PDF
Interactive websites use text-based captchas to prevent unauthorized automated interactions. These captchas must be easy for humans to decipher while being difficult to crack by automated means. In this paper the authors present a framework for the systematic study of captchas along these two competing objectives. They begin by abstracting a set of distortions that characterize current and past commercial text-based captchas. By means of user studies, they quantify the way human captcha solving performance varies with changes in these distortion parameters.

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