Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9535
Title: Cracking Captcha Completely Automated Public Turing Test to Tell Computers and Humans Apart
Authors: Singh, Kanika
Saha, Suman [Guided by]
Keywords: Bit map
Electronic Commerce
Neural Networks
Issue Date: 2014
Publisher: Jaypee University of Information Technology, Solan, H.P.
Abstract: Completely Automated Public Turing Tests to Tell Computers and Humans Apart (CAPTCHAs) are the automatic filters that are widely used these days to disallow any automated script that can perform the work of a human. CAPTCHAs are built in such a way that it is very difficult for any automated script to break them. The state of the art of CAPTCHA design suggests that such text-based schemes should rely on segmentation resistance to provide security guarantee, as individual character recognition after segmentation can be solved with a high success rate by standard methods such as neural networks. We analyse the security of a text-based CAPTCHAs and the loopholes in designing of these captchas. Defeating a CAPTCHA test requires two procedures: segmentation and recognition. In this project, an approach to break text based CAPTCHAs has been proposed that first preprocesses the given CAPTCHA, segments its characters, and then recognizes the characters depending on it‟s features. The breaking of CAPTCHAs give strength to CAPTCHAs which in turn help to develop more robust CAPTCHAs.
URI: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9535
Appears in Collections:B.Tech. Project Reports



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.