Global Journal of Computer Science and Technology

Neural & Artificial Intelligence

Volume 13 Issue 3 Version 1.0 Year 2013

Type: Double Blind Peer Reviewed International Research Journal

Publisher: Global Journals Inc. (USA)

Online ISSN: 0975-4172 & Print ISSN: 0975-4350

CAPTCHA: Attacks and Weaknesses against OCR Technology

By Silky Azad & Kiran Jain

Doon Valley Institute of Engineering

Abstract - The basic challenge in designing these obfuscating CAPTCHAs is to make them easy enough that users are not dissuaded from attempting a solution, yet still too difficult to solve using available computer vision algorithms. As Modern technology grows this gap however becomes thinner and thinner. It is possible to enhance the security of an existing text CAPTCHA by system-apically adding noise and distortion, and arranging characters more tightly. These measures, however, would also make the characters harder for humans to recognize, resulting in a higher error rates and higher Network load .This paper presents few of most active attacks on text CAPTCHAs existing today.

Keywords : CAPCHA, human interactive proofs, recaptcha, optical character recog-nition, tessaract, security.

GJCST-D Classification : I.2.7

CAPTCHA ATTACKS AND WEAKNESSES AGAINST OCR TECHNOLOGY

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© 2013. Silky Azad & Kiran Jain. This is a research/review paper, distributed under the terms of the Creative Commons Attribution-Noncommercial 3.0 Unported License (http://creativecommons.org/licenses/by-nc/3.0/), permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.