Identify the Image-Based CAPTCHA by Using Back Propagation Algorithm of Artificial Neural Network
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International Journal of Engineering Trends and Technology (IJETT) |  |
| © 2020 by IJETT Journal | ||
| Volume-68 Issue-11 |
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| Year of Publication : 2020 | ||
| Authors : Renu Saroha, Sumeet Gill |
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| DOI : 10.14445/22315381/IJETT-V68I11P221 |
Citation
MLA Style: Renu Saroha, Sumeet Gill "Identify the Image-Based CAPTCHA by Using Back Propagation Algorithm of Artificial Neural Network" International Journal of Engineering Trends and Technology 68.11(2020):156-162.
APA Style:Renu Saroha, Sumeet Gill. Identify the Image-Based CAPTCHA by Using Back Propagation Algorithm of Artificial Neural Network International Journal of Engineering Trends and Technology, 68(11),156-162.
Abstract
CAPTCHA is an ultra-modern security approach in the world of internet. There is various form of CAPTCHA. This paper proposed another form of CAPTCHA called Image-based CAPTCHA. Image-based CAPTCHA is more securing as compare to other CAPTCHA (Text and Audio based CAPTCHA) techniques. Image-based CAPTCHA has been introduced to address the limitations of previous CAPTCHA methods. It is used to controlled mutilations are applied to haphazardly picked images and introduced to a client for an explanation from a given list of words. In this paper, we centre on how AI strategies perceive Image-based CAPTCHA. Additionally, we recall the image-based CAPTCHA. This paper proposed a strategy dependent on the Back Propagation algorithm to pinpoint the image-based CAPTCHA.
Reference
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Keywords
Backpropagation model, nntool, ANN, MATLAB, 2017.