Multi-Modal CAPTCHA: A User Verification Scheme

Almazyad, Abdulaziz S.; Ahmad, Yasir; Kouchay, Shouket Ahmad

doi:10.1109/icisa.2011.5772421

Cited by 23 publications

(10 citation statements)

References 5 publications

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“…• 2000 term CAPTCHA was coined by the team led by Manuel Blum and Luis von Ahn at Carnegie Mellon University [6] [7].…”

Section: History Of Captchasmentioning

confidence: 99%

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A Survey of Current Research on CAPTCHA

Hasan¹

2016

IJCSES

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“…• 2000 term CAPTCHA was coined by the team led by Manuel Blum and Luis von Ahn at Carnegie Mellon University [6] [7].…”

Section: History Of Captchasmentioning

confidence: 99%

“…Figure 29 show an example of this method [21]. This method has a very high pass level as the images used in this type of CAPTCHA are very simple so users who have a visual disorder can easily recognize them and solve this test [22].…”

Section: 212online Collage Captchamentioning

confidence: 99%

A Survey of Current Research on CAPTCHA

Hasan¹

2016

IJCSES

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“…Moreover, image-base CAPTCHA is need to store in big databases and need more time in generating phase [7]- [9]. The puzzle and MultiModal CAPTCHA [10], [11] claimed that they overcome language limitations. But we still found that it may use more time in implementation phase and some puzzles harder for the user to solve.…”

Section: Introductionmentioning

confidence: 99%

Study of Usability and Effectiveness in Shape and Shape-Color Geometric Shape Pattern-Based CAPTCHA

Lawan¹

2017

IJCTE

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Abstract-This study investigates usability and effectiveness in shape and shape-color Geometric Shape Pattern-base CAPTCHA. The purpose of this study is to compare the amount of samples, sex and human generations on usability and effectiveness of the developed Geometric Shape Patternbase CAPTCHA. There are 400 participants who approaching this study on the internet. The findings suggest that usability shown in percentage of success, both shape and shape-color Pattern-base CAPTCHA show highest percentage of success at 95.83% and 95.64% respectively. Moreover, it is demonstrated that the amount of time spent for finding the correct answer relates to the amount of sample of series. In addition, differences for sex reveal that both female and male can solve two types of CAPTCHA similarly. However, differences for human generations suggest that Baby Boomer I spends 4.63 to 7.38 seconds less to solve the problem of Pattern-base CAPTCHA. Moreover, in color-shape pattern, they spend 3.88 to 6.72 seconds less.Index Terms-CAPTCHA, geometric shape, shape pattern. I. INTRODUCTIONThe main purpose of CAPTCHA is firstly, to automate Public Turning Test in order to separate computers and human being apart such as their names and roles. This can be done by using a challenge-response test. It is used in computing to determine whether the user is human or not.[1] Second main purpose of CAPTCHA is it is the first protector that guards the front gate of the computer's screen. It will decide who is allowed to pass the gate.These purposes are most important roles of CAPTCHA. That is because for example, if the guard of the house is frigid, unfriendly, cruel and cannot be able to communicate effectively; the guest will get angry or would like to stop contacting to the house-owner. Thus, the house-owner cannot access to what they want such as news, information, and he may not be able to contact to the others. On the other hand, if the guard of your house is ineffective, credulous and unable to screen everyone who want to access the house's gate; the house will be full of unscreened people. As the result of that, the house-owner will be put in danger. Furthermore, CAPTCHA is highly effective for being a good protector for your computer. It can be accessed easily for real human. It is also can be used by multinational Manuscript received October 10, 2017; revised December 10, 2017 Fig. 1. In addition, some programmers develop Audio-base and Image-base CAPTCHA. These CAPTCHAs are difficult for generating and evaluation [6]. Moreover, image-base CAPTCHA is need to store in big databases and need more time in generating phase [7]-[9]. The puzzle and MultiModal CAPTCHA [10], [11] claimed that they overcome language limitations. But we still found that it may use more time in implementation phase and some puzzles harder for the user to solve. Furthermore, all kinds of traditional CAPTCHAs have some problems about communication to user including problem about language or knowledge of the approach.Pattern is a series of number or figure that a...

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“…A popular approach for conducting this differentiation is to use Captchas, or Completely Automated Turing tests to tell Computers and Humans Apart [1], that require users to solve a problem that is easy for a human but difficult for a computer. For example, a Captcha might involve recognizing a word that has been corrupted by noise, identifying a spoken word, or recognizing an object in an image [2], [3], [8], [15].…”

Section: Introductionmentioning

confidence: 99%

Learning Visual Features for the Avatar Captcha Recognition Challenge

Korayem

Mohamed

Crandall

et al. 2012

2012 11th International Conference on Machine Learning and Applications

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Abstract-Captchas are frequently used on the modern world wide web to differentiate human users from automated bots by giving tests that are easy for humans to answer but difficult or impossible for algorithms. As artificial intelligence algorithms have improved, new types of Captchas have had to be developed. Recent work has proposed a new system called Avatar Captcha, in which a user is asked to distinguish between facial images of real humans and those of avatars generated by computer graphics. This novel system has been proposed on the assumption that this Captcha is very difficult for computers to break. In this paper we test a variety of modern visual features and learning algorithms on this avatar recognition task. We find that relatively simple techniques can perform very well on this task, and in some cases can even surpass human performance.

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Multi-Modal CAPTCHA: A User Verification Scheme

Cited by 23 publications

References 5 publications

A Survey of Current Research on CAPTCHA

A Survey of Current Research on CAPTCHA

Study of Usability and Effectiveness in Shape and Shape-Color Geometric Shape Pattern-Based CAPTCHA

Learning Visual Features for the Avatar Captcha Recognition Challenge

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