ScatterType: A legible but hard-to-segment CAPTCHA

Proceedings of the International Conference on Document Analysis and Recognition, ICDAR

Volumn 2005, Issue , 2005, Pages 935-939

  Baird, Henry S ^a   Moll, Michael A ^a   Wang, Sui Yu ^a  

^a Lehigh University   (United States)

Author keywords

Abuse of web sites and services; Automatic attacks on CAPTCHAs; CAPTCHAs; Document image analysis; Fragmentation; Gestalt perception; Human interactive proofs; Human machine discrimination; Legibility of text; Segmentation; Turing tests

Indexed keywords

COMPUTER VISION; IMAGE ANALYSIS; IMAGE SEGMENTATION; TEXT PROCESSING; WEB SERVICES; WEBSITES;

AUTOMATIC ATTACKS; CAPTCHA (SOFTWARE); DOCUMENT IMAGE ANALYSIS; FRAGMENTATION; GESTALT PERCEPTION; HUMAN INTERACTIVE PROOFS; HUMAN/MACHINE DISCRIMINATION; TURING TESTS;

CHARACTER RECOGNITION;

EID: 33947412003     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2005.205     Document Type: Conference Paper

References (12)

1. [BAL00] M. Blum, L. A. von Ahn, and J. Langford, The CAPTCHA Project, "Completely Automatic Public Turing Test to tell Computers and Humans Apart," www. captcha. net, Dept. of Computer Science, Carnegie-Mellon Univ., and personal communications, November, 2000.
2. [BMW05] H. S. Baird, M. A. Moll, & S-Y Wang, "A Highly Legible CAPTCHA that Resists Segmentation Attacks," in H. S. Baird & D. P. Lopresti (Eds), Proc., 2nd Int'l Workshop on Human Interactive Proofs (HIP2005), LNCS Vol. No. 3517, Springer (Berlin), pp. 27-41, May 2005.
3. [BR05] H. S. Baird and T. Riopka, "ScatterType: a Reading CAPTCHA Resistant to Segmentation Attack," Proc., IS&T/SPIE Document Recognition & Retrieval XII Conf, San Jose, CA, January 16-20, 2005
4. [Bro01] AltaVista's 'Add-URL" site: altavista.com/sites/addurl/ newurl, protected by the earliest known CAPTCHA.
5. [CB03] M. Chew and H. S. Baird, "BaffeText: a Human Interactive Proof,"Proc., 10th SPIE/IS&T Document Recognition and Retrieval Conf. (DRR2003), Santa Clara, CA, January 23-24, 2003.
6. [CBF01] A. L. Coates, H. S. Baird, and R. Fateman, "Pessimal Print: a Reverse Turing Test," Proc., IAPR 6th Intl. Conf. on Document Analysis and Recognition, Seattle, WA, September 10-13, 2001, pp. 1154-1158.
7. [CLSC05] K. Chellapilla, K. Larson, P. Y. Simard, & M. Czerwinski, "Building Segmentation Based Human-Friendly Human Interactive Proofs (HIPs)," in H. S. Baird & D. P. Lopresti (Eds), Proc., 2nd Int'l Workshop on Human Interactive Proofs (HIP2005), LNCS Vol. No. 3517, Springer (Berlin), pp. 1-26, May 2005.
8. [HB01] N. J. Hopper and M. Blum, 'Secure Human Identifi cation Protocols," In: C. Boyd (Ed.) Advances in Crypotology, Proceedings of Asiaciypt 2001, LNCS 2248, pp.52-66, Springer-Verlag Berlin, 2001
9. [LABB01] M. D. Lillibridge, M. Abadi, K. Bharat, and A. Z. Broder, 'Method for Selectively Restricting Access to Computer Systems," U.S. Patent No. 6,195,698, Issued February 27, 2001.
10. [MM03] G. Mori and J. Malik, "Recognizing Objects in Adversarial Clutter: Breaking a Visual CAPTCHA," Proc., IEEE CS Society Conf. on Computer Vision and Pattern Recognition (CVPR'03), Madison, WI, June 16-22, 2003.
11. [SSB03] P. Y. Simard, R. Szeliski, J. Benaloh, J. Couvreur, I. Calinov, 'Using Character Recognition and Segmentation to Tell Computer from Humans," Proc., IAPR Int'l Conf. on Document Analysis and Recognition, Edinburgh, Scotland, August 4-6, 2003.
12. [Tur50] A. Turing, "Computing Machinery and Intelligence," Mind, Vol. 59(236), pp. 433-460, 1950.