Paper Info
Title
Hacking Chinese Touclick CAPTCHA by Multi-Scale Corner Structure Model with Fast Pattern Matching
Abstract
In this paper, we tackle the challenge of hacking CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart), which is widely used to identify machine and human in webpage registration and authorization [17]. More specially, we target at touclick Chinese CAPTCHA that is recently popular in mobile application scenario. Hacking such CAPTCHA is much more challenging and left unexploited in the literature. Our main idea is a multi-scale Corner based Structure Model, termed CSM, with a very efficient pattern matching scheme. CSM can accurately capture the intrinsic statistics of touclick Chinese CAPTCHA against background clutters. We demonstrate the efficiency and effectiveness of the proposed approach by extensive experiments on a Chinese touclick CAPTCHA dataset collected from Internet forums. We report encouraging results with an overall success rate of almost 100% and an averaged detection speed of 170 millisecond. Upon our work, we also provide suggestions on improving the current CAPTCHA-based human-machine identification systems.
Year
DOI
Venue
2014
10.1145/2647868.2655017
ACM Multimedia 2001
Keywords
Field
DocType
captcha,multimedia security,touclick,verification
Web page,Computer science,Turing test,Authorization,Hacker,CAPTCHA,Pattern matching,Multimedia,The Internet
Conference
Citations 
PageRank 
References 
5
0.43
16
Authors
4
Name
Order
Citations
PageRank
Yunhang Shen1297.25
Rongrong Ji23616189.98
Donglin Cao314217.21
Y. M. Wang412050.48