There has been several discussions about CAPTCHA's effectiveness over the years. Jay Allen has spoken, have yet to see what Paul Graham has to say about it. Breaking a Visual CAPTCHA: High Level Description describes the underlying mechanics. The bigger question is, are these methodologies efficient or just band-aids to the existing tricks which will only work till spammers find a new way around it. I think I'd agree with author of On Intelligence on this matter when he suggested that our approach to AI is inherently wrong. How do a person sees an image or an email and know that it's unsolicited commercial email, cerebral cortex? lets map it. Possibly the problem of the century but we would have it sort out, sooner than later.
References and Further Readings
Telling humans and computers apart automatically Luis von Ahn, Manuel Blum, John Langford Communications of the ACM, Volume 47 Issue 2
Shape Matching and Object RecognitionBerkeley Computer Vision page
Email and security: Designing human friendly human interaction proofs (HIPs) Kumar Chellapilla, Kevin Larson, Patrice Simard, Mary Czerwinski Proceedings of the SIGCHI conference on Human factors in computing systems
Poster 2: applications track: IMAGINATION: a robust image-based CAPTCHA generation system Ritendra Datta, Jia Li, James Z. Wang Proceedings of the 13th annual ACM international conference on Multimedia MULTIMEDIA '05
Games: Preventing bots from playing online games Philippe Golle, Nicolas Ducheneaut Computers in Entertainment (CIE), Volume 3 Issue 3
Invited workshop on conceptual information retrieval and clustering of documents: Spam filters: bayes vs. chi-squared; letters vs. words Cormac O'Brien, Carl Vogel Proceedings of the 1st international symposium on Information and communication technologies ISICT '03
Breaking a Visual CAPTCHA
15 Seconds : Fighting Spambots with .NET and AI -- Cont'd
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