IJERT-EMS
IJERT-EMS

Chaac -Captcha: An Improvisation of Graphical based Captcha with Dynamic Random Misrepresentation for Discrimination Between Human and Machine


Chaac -Captcha: An Improvisation of Graphical based Captcha with Dynamic Random Misrepresentation for Discrimination Between Human and Machine
Authors : Mir Aman sheheryar, Dr. Ashok Kumar Sahoo
Publication Date: 01-05-2017

Authors

Author(s):  Mir Aman sheheryar, Dr. Ashok Kumar Sahoo

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Volume. 6 - Issue. 05 , May - 2017

e-ISSN:   2278-0181

 DOI:  http://dx.doi.org/10.17577/IJERTV6IS050058

Abstract

In this paper, a CAPTCHA system is presented with dynamic misrepresentation which is provided by an offbeat, adequate and capable algorithm. Undoubtedly, it is believed that the ability of word text in CAPTCHA design depends on the recognition by humans. CAPTCHA which is the clipping of “Completely Automated Public Turing test to tell Computers and Human Apart” has been keeping on changing with rapid enhancement in the study and technology. In this paper, the concepts of etymological behavior of existing CAPTCHA systems are explored, and a new doctrine approach to build up the CAPTCHA is proposed. The proposed CAPTCHA designed in two variants (hard and easy) where hard variant of development withstand the intrusion. This results in a CAPTCHA which is stormy conditions, and is unrecognizable to current day optical character recognition up to 99% and at the same go is easy for human recognition. There by increasing the time to decode for automated scripts (bots) and remain much easy for human study when it comes to readability.

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