Optical Character Recognition: An Illustrated Guide to the Frontier
Optical Character Recognition: An Illustrated Guide to the Frontier
Minds and Machines
Secure Human Identification Protocols
ASIACRYPT '01 Proceedings of the 7th International Conference on the Theory and Application of Cryptology and Information Security: Advances in Cryptology
Human Interactive Proofs and Document Image Analysis
DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
Pessimal Print: A Reverse Turing Test
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Using Character Recognition and Segmentation to Tell Computer from Humans
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Style Context with Second-Order Statistics
IEEE Transactions on Pattern Analysis and Machine Intelligence
Style Consistent Classification of Isogenous Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognizing objects in adversarial clutter: breaking a visual captcha
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
ScatterType: A Legible but Hard-to-Segment CAPTCHA
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Embedded noninteractive continuous bot detection
Computers in Entertainment (CIE) - Theoretical and Practical Computer Applications in Entertainment
Usability of CAPTCHAs or usability issues in CAPTCHA design
Proceedings of the 4th symposium on Usable privacy and security
Synthetic handwritten CAPTCHAs
Pattern Recognition
The robustness of a new CAPTCHA
Proceedings of the Third European Workshop on System Security
Protection through multimedia CAPTCHAs
Proceedings of the 8th International Conference on Advances in Mobile Computing and Multimedia
Enhanced STE3D-CAP: a novel 3d CAPTCHA family
ISPEC'12 Proceedings of the 8th international conference on Information Security Practice and Experience
Protection through Intelligent and Multimedia Captchas
International Journal of Adaptive, Resilient and Autonomic Systems
| Hi-index | 0.00 |
A CAPTCHA which humans find to be highly legible and which is designed to resist automatic character–segmentation attacks is described. As first detailed in [BR05], these ‘ScatterType’ challenges are images of machine-print text whose characters have been pseudorandomly cut into pieces which have then been forced to drift apart. This scattering is designed to repel automatic segment-then-recognize computer vision attacks. We report results from an analysis of data from a human legibility trial with 57 volunteers that yielded 4275 CAPTCHA challenges and responses. We have located an operating regime—ranges of the parameters that control cutting and scattering—within which human legibility is high (better than 95% correct) even though the degradations due to scattering remain severe.