Protection through multimedia CAPTCHAs

Authors:
Wesam Al-Sudani;Amit Gill;Chen Li;Jidong Wang;Fei Liu
Affiliations:
La Trobe University, Melbourne, VIC, Australia;La Trobe University, Melbourne, VIC, Australia;La Trobe University, Melbourne, VIC, Australia;RMIT University, Melbourne, VIC, Australia;La Trobe University, Melbourne, VIC, Australia
Venue:
Proceedings of the 8th International Conference on Advances in Mobile Computing and Multimedia
Year:
2010

Citing 4
Cited 0

On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey

IEEE Transactions on Pattern Analysis and Machine Intelligence
Human Interactive Proofs and Document Image Analysis

DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
Toward island-of-reliability-driven very-large-vocabulary on-line handwriting recognition using character confidence scoring

ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
A highly legible CAPTCHA that resists segmentation attacks

HIP'05 Proceedings of the Second international conference on Human Interactive Proofs

Quantified Score

Hi-index	0.00

Visualization

Abstract

CAPTCHAS which are well known as complete automatic public Turing test to tell computers and humans apart are a modern implementation of the Turing test, which ask a series of questions of two players: a human and computer. But both of the players pretend to be human. On the bases of the answers the judge has to decide which one is human and which one is computer, but the judge itself is a computer. In this article, we review current CAPTCHAs. After analysis of all the current CAPTCHAS we propose a new 3-D AI CATCHA which has all the strengths of existing CAPTCHAS to provide a better security alternative for ecommerce.