IMAGINATION: A Robust Image-based CAPTCHA Generation System

Ritendra Datta, Jia Li, James Z. Wang
The Pennsylvania State University, University Park, PA 16802
Abstract:

We propose IMAGINATION (IMAge Generation for INternet AuthenticaTION), a system for the generation of attack-resistant, user-friendly, image-based CAPTCHAs. In our system, we produce controlled distortions on randomly chosen images and present them to the user for annotation from a given list of words. The distortions are performed in a way that satisfies the incongruous requirements of low perceptual degradation and high resistance to attack by content-based image retrieval systems. Word choices are carefully generated to avoid ambiguity as well as to avoid attacks based on the choices themselves. Preliminary results demonstrate the attack-resistance and user-friendliness of our system compared to text-based CAPTCHAs.


Full Paper in Color
(PDF, 0.3MB)

On-line Info


Citation: Ritendra Datta, Jia Li and James Z. Wang, ``IMAGINATION: A Robust Image-based CAPTCHA Generation System,'' Proceedings of the ACM Multimedia Conference, pp. 331-334, Singapore, ACM, November 2005.

Copyright 2005 ACM. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works, must be obtained from the ACM.

Last Modified: Wed Nov 2 11:38:12 EST 2005
© 2005