Captcha Cracking Using Image Processing

Authors(3) :-Aditya Singh, Chirag Patil, Ramesh Malviya

Today Internet is life line for most of individual person. The day start with looking for any updates and checking online status on social media and giving feedback in form of comment or likes. This feedback or likes can be controlled and manipulated by bots or automated programs which is provided by spammers. Here comes testing method Known as CAPTCHA ( an acronym for "completely automated public Turing test to tell computers and humans apart", trademarked by Carnegie Mellon University)[8]. It is type of test which is used to determine whether the user is Human or not. It is set of random alphabets and numbers which is twisted so that it cannot be recognized by bots but is readable by humans. There is two version of CAPTCHA . Version one which consist of twisted alphabets and numbers and Version two which consist of multiple images to select from according to system. Therefore it is very important to check vulnerability t o check CAPTCHA against attack. So in this paper we will check the method to Crack CAPTCHA and check its effectiveness strength and security against spammers and automated programs.

Authors and Affiliations

Aditya Singh
Information Technology Department, Vishwatmak Om Gurudev College Of Engineering, Maharashtra, India
Chirag Patil
Information Technology Department, Vishwatmak Om Gurudev College Of Engineering, Maharashtra, India
Ramesh Malviya
Information Technology Department, Vishwatmak Om Gurudev College Of Engineering, Maharashtra, India

Captcha, Image Processig, Ocr, Turing Test, Matlab, Captcha Cracking, Security

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Publication Details

Published in : Volume 3 | Issue 2 | January-February 2018
Date of Publication : 2018-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 14-18
Manuscript Number : CSEIT1831168
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Aditya Singh, Chirag Patil, Ramesh Malviya, "Captcha Cracking Using Image Processing", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 2, pp.14-18, January-February-2018.
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