Verifying human interaction via rotated images

Details Verifying human interaction via rotated images Verifying human interaction via rotated images

2011-02-15

2011-02-15

Kim, Jung (Department: 2432)

Information security

Prevention of unauthorized use of data including prevention...

C713S182000, C726S003000

Reexamination Certificate

active

07891005

ABSTRACT:
A human interaction proof may restrict access to computer systems by testing the image orientation detection capabilities of the user making the access attempt. The human interaction proof includes a challenge where a plurality of images is presented. The images in the challenge may be drawn from image databases or the Internet, and may be part of a set of images that have been screened for difficulty with respect to computers. Some of the presented images are rotated away from their proper orientations. A user presented with the challenge is asked to differentiate the rotated images from the non-rotated images. A correct response leads to a grant of access, and an incorrect answer leads to a denial of access. The images in the challenge may be further modified with regard to color, lighting, cropping, etc. before presentation; the modifications increase the difficulty of the challenge for computers.

REFERENCES:
patent: 6195698 (2001-02-01), Lillibridge et al.
patent: 7533411 (2009-05-01), Goodman et al.
patent: 2003/0099395 (2003-05-01), Wang et al.
patent: 2004/0073813 (2004-04-01), Pinkas et al.
patent: 2004/0199597 (2004-10-01), Libbey et al.
patent: 2005/0065802 (2005-03-01), Rui et al.
patent: 2005/0097175 (2005-05-01), Vandeputte
patent: 2005/0120201 (2005-06-01), Benaloh et al.
patent: 2005/0138376 (2005-06-01), Fritz et al.
patent: 2005/0229251 (2005-10-01), Chellapilla et al.
patent: 2005/0246775 (2005-11-01), Chellapilla et al.
patent: 2005/0289345 (2005-12-01), Haas et al.
Capili, R., “Verify All Humans!,” Webmonkey/programming/, http://www.webmonkey.com//templates/print—template, 9 pgs., Nov. 23, 2005.
Kesmodel, D., “Codes on Sites ‘Captcha’ Anger of Web Users,” The Wall Street Journal Online, http://www.online.wsj.com/public/article, 3 pgs., May 31, 2006.
Baluja, S., et al., “Large Scale Performance Measurement of Content-Based Automated Image-Orientation Detection,” IEEE Conference on Image Processing, vol. 2, Sep. 11-14, 2005.
Chellapilla, K., et al. “Computers Beat Humans at Single Character Recognition in Reading Based Human Interaction Proofs (HIPS),” in Proceedings of the 3rdConf. on Email and Anti-Spam, Jul. 2005.
Lopresti, D., “Leveraging the CAPTCHA Problem,” 2ndInt'l Workshop on Human Interactive Proofs, Bethlehem, PA, May 2005.
Lopresti, D., “Leveraging the CAPTCHA Problem,” Computer Science & Engineering, Lehigh Univ.
Mori, G., et al., “Recognizing Objects in Adversarial Clutter: Breaking a Visual CAPTCHA,” in Proceedings of Computer Vision and Pattern Recognition, 2003.
Rowley, H.A., et al., “Neural Network-Based Face Detection,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 20, No. 1, Jan. 1998.
Rui, Y., et al., “Characters and Faces: A User Study on Ease of Use for HIPs,” Lecture Notes in Computer Science, Springer Berlin, 2005.
Vailaya, A., et al., “Automatic Image Orientation Detection,” IEEE Transactions on Image Processing, vol. 11, No. 7, Jul. 2002.
Viola, P., et al., “Rapid Object Detection Using a Boosted Cascade of Simple Features,” in Proceedings of Computer Vision and Pattern Recognition, pp. 511-518, 2001.
Von Ahn, L., et al., “Telling Humans and Computers Apart Automatically,” Communications on the ACM, vol. 47, No. 2, Feb. 2004.
Von Ahn, L., et al., “CAPTCHA: Using Hard A1 Problems for Security,” in EUROCRYPT, 2003.
Wu, V., et al., “TextFinder: An Automatic System to Detect and Recognize Text in Images,” Computer Science Dept., Univ. of Massachusetts, Jun. 10, 1999.
Wu, V., et al. “Finding Text in Images,” Proceedings of the 2ndACM Int'l Conf. on Digital Libraries, 1997.
Zhang, L., et al., “Boosting Image Orientation Detection with Indoor vs. Outdoor Classification,” IEEE Workshop on Applications of Computer Vision, Orlando, Florida, Dec. 3-4, 2002.

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