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FGCAPTCHA

fgCAPTCHA combines images of human faces, cartoons, and sketches on a
multi-colored background. To prevent software attacks on the CAPTCHA, two visual
distortions are applied to each CAPTCHA using parameters optimized by a genetic
algorithm. This process ensures the best possible balance between ease-of-use
for humans and resistance to machine attacks.

To solve fgCAPTCHA, users must tap or click on all the human face photographs.


RESULTS

In testing, humans were able to successfully solve 87.9% of fgCAPTCHA images
with some distortions have success rates of up to 97%. As part of the generation
process, CAPTCHAs solved by face detection are automatically removed yielding a
machine attack rate of approximately 0%.


DEMOS

Try fgCAPTCHA


PUBLICATIONS


JOURNAL ARTICLES

 1. B. M. Powell, G. Goswami, M. Vatsa, R. Singh, and A. Noore, “fgCAPTCHA:
    Genetically Optimized Face Image CAPTCHA,” IEEE Access, vol. PP, no. 99,
    Apr. 2014. PDF Publisher's Website

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Dr. Brian M. Powell, Faculty Director
205 Armstrong Hall
94 Beechurst Avenue | PO Box 6109 | Morgantown, WV 26506-6109
P: 304.288.1549 | brian.powell@mail.wvu.edu
Lane Department of Computer Science and Electrical Engineering
Advanced Engineering Research Building
109 Research Way | PO Box 6109 | Morgantown, WV 26506-6109
P: 304.293.0405
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