Face Detection CAPTCHA was our first image-based CAPTCHA.
In this CAPTCHA, black-and-white photographs of human faces, animal faces, and cartoon characters are visually distorted using a single image distortion. The distorted images are then embedded in a background of large multi-shaded blocks.
To solve this CAPTCHA, users must tap or click on all the human face photographs.
Results
In testing, humans were able to successfully solve Face Detection CAPTCHA in 73.45% to 79.03% of attempts. 5.82% to 10.95% of computer attacks were successful, depending on the image distortion used. [1]
Demos
Publications
Journal Articles
- B. M. Powell, A. C. Day, R. Singh, M. Vatsa, and A. Noore, “Image-based face detection CAPTCHA for improved security,” International Journal of Multimedia Intelligence and Security, vol. 1, no. 3, pp. 269–284, 2010. PDF Publisher's Website