Translator Disclaimer
3 June 2011 On grey levels in random CAPTCHA generation
Author Affiliations +
A CAPTCHA is an automatically generated test designed to distinguish between humans and computer programs; specifically, they are designed to be easy for humans but difficult for computer programs to pass in order to prevent the abuse of resources by automated bots. They are commonly seen guarding webmail registration forms, online auction sites, and preventing brute force attacks on passwords. In the following, we address the question: How does adding a grey level to random CAPTCHA generation affect the utility of the CAPTCHA? We treat the problem of generating the random CAPTCHA as one of random field simulation: An initial state of background noise is evolved over time using Gibbs sampling and an efficient algorithm for generating correlated random variables. This approach has already been found to yield highly-readable yet difficult-to-crack CAPTCHAs. We detail how the requisite parameters for introducing grey levels are estimated and how we generate the random CAPTCHA. The resulting CAPTCHA will be evaluated in terms of human readability as well as its resistance to automated attacks in the forms of character segmentation and optical character recognition.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fraser Newton and Michael A. Kouritzin "On grey levels in random CAPTCHA generation", Proc. SPIE 8056, Visual Information Processing XX, 80560U (3 June 2011);


Discrimination of handwritten from machine-printed text
Proceedings of SPIE (June 01 1994)
Document image orientation based on both text and image
Proceedings of SPIE (February 21 2012)
Text segmentation of machine-printed Gurmukhi script
Proceedings of SPIE (December 21 2000)
Hybrid image segmentation using watersheds
Proceedings of SPIE (February 27 1996)
Benchmarking of document page segmentation
Proceedings of SPIE (December 22 1999)

Back to Top