Identify the Image-Based CAPTCHA by Using Back Propagation Algorithm of Artificial Neural Network

Renu Saroha; Sumeet Gill

doi:https://doi.org/10.14445/22315381/IJETT-V68I11P221

Research Article | Open Access | Download PDF

Volume 68 | Issue 11 | Year 2020 | Article Id. IJETT-V68I11P221 | DOI : https://doi.org/10.14445/22315381/IJETT-V68I11P221

Identify the Image-Based CAPTCHA by Using Back Propagation Algorithm of Artificial Neural Network

Renu Saroha, Sumeet Gill

Citation :

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 (IJETT), vol. 68, no. 11, pp. 156-162, 2020. Crossref, https://doi.org/10.14445/22315381/IJETT-V68I11P221

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.

Keywords

Backpropagation model, nntool, ANN, MATLAB, 2017.

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