Algorithm to Break Visual CAPTCHA

Chandavale, Anjali; Sapkal, A. M.; Jalnekar, Rajesh

doi:10.1109/icetet.2009.24

Cited by 25 publications

(22 citation statements)

References 8 publications

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“…This violation of authorization has been discussed widely in the security-related literature [1,98,14,85] and recent studies indicate that many state-of-the-art, text-based Captchas have been broken [7,12,18,25,37,56,65,83]. Consequently, the need for new (non text-based) types of Captchas is manifest, as suggested by several researchers [7,12,20,54,56].…”

Section: Introductionmentioning

confidence: 99%

Development of two novel face-recognition CAPTCHAs: A security and usability study

Schryen

Wagner

Schlegel

2016

Computers & Security

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CAPTCHAs are challenge-response tests that aim at preventing unwanted machines, including bots, from accessing web services while providing easy access for humans. Recent advances in artificial-intelligence based attacks show that the level of security provided by many state-ofthe-art text-based CAPTCHAs is declining. At the same time, techniques for distorting and obscuring the text, which are used to maintain the level of security, make text-based CAPTCHAs difficult to solve for humans, and thereby further degrade usability. The need for developing alternative types of CAPTCHAs which improve both, the current security and usability levels, has been emphasized by several researchers.With this study, we contribute to research through (1) the development of two new face recognition CAPTCHAs (Farett-Gender and FarettGender&Age), (2) the security analysis of both procedures, and (3) the provision of empirical evidence that one of the suggested CAPTCHAs (FarettGender) is similar to Google's reCAPTCHA and better than KCAPTCHA concerning effectiveness (error rates), superior to both regarding learnability and satisfaction but not efficiency.

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Section: Introductionmentioning

confidence: 99%

Development of two novel face-recognition CAPTCHAs: A security and usability study

Schryen

Wagner

Schlegel

2016

Computers & Security

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“…"Algorithm to break visual CAPTCHA" [6] ponders on other important things, along with discussing about the algorithm to break the CAPTCHA, i.e., it also talks about the design. The basic algorithm presented by the author is based on pattern matching.…”

Section: Related Workmentioning

confidence: 99%

Towards Solving the Google CAPTCHA

Mehta¹,

Sharma²

2014

IJCA

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CAPTCHA is now a technology which is used all over the internet to protect websites from program bots. One of the major issues which CAPTCHA provides a solution to is, stopping spammers for creating unlimited accounts and sending emails to millions of people spam mails. In this paper, we are proposing our algorithm for solving the Google CAPTCHA. Being able to solve the Google CAPTCHA using a program would mean that there are some security issues which need to be considered at the earliest and this would assist us develop a better CAPTCHA.

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“…The attacks on image based CAPTCHAs are discussed in [21]. An algorithm to break visual CAPTCHA is given in [22,23]. Current Image-based CAPTCHAs facing problems of Computer-based recognition algorithms for extracting shape, special point features etc.…”

Section: Figure 2: Text-based Captchas Examples (From Various Websites)mentioning

confidence: 99%

Design and Comparison of Advanced Color based Image CAPTCHAs

Kumar¹,

Dhir²

2013

IJCA

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CAPTCHA is a technology which has its base in a test called the Turing Test. Alan Turing, proposed this test as a way to examine whether or not machines can think or appear to think like humans. The main purpose of a CAPTCHA is to block form submissions from spam bots-that is automated scripts. Various types of CAPTCHAs are used, which mostly requires users to enter the strings of characters that appear in distorted form on the screen. These types of distorted stings are unable to understand by bots but human can. The CAPTCHA types are either text based or image based. In this paper, a new color based CAPTCHA is described, which provides color based images to human and human will answer to interrogator with color name or so on the question asked during turing test. These colored images can have single color image, more than one color image or it can have images with objects (like monitor, car, flower etc). For these types of questions, the computer machine will be unable to answer and it means unable to break CAPTCHA. This paper describes in detail the proposed CAPTCHA technology principle, method of implementation, variations and comparison of the accuracy rates. We conducted various experiments to measure the viability and usability of this CAPTCHA approach. An accuracy of 100%, 95% and 90% is observed with single color, multi color and color image based CAPTCHAs respectively.

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Algorithm to Break Visual CAPTCHA

Cited by 25 publications

References 8 publications

Development of two novel face-recognition CAPTCHAs: A security and usability study

Development of two novel face-recognition CAPTCHAs: A security and usability study

Towards Solving the Google CAPTCHA

Design and Comparison of Advanced Color based Image CAPTCHAs

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