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

机译:通过使用人工神经网络的反向传播算法来识别基于图像的CAPTCHA

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CAPTCHA is an ultra-modern security approachin the world of internet. There is various form of CAPTCHA.This paper proposed another form of CAPTCHA calledImage-based CAPTCHA. Image-based CAPTCHA is moresecuring as compare to other CAPTCHA (Text and Audiobased CAPTCHA) techniques. Image-based CAPTCHA hasbeen introduced to address the limitations of previousCAPTCHA methods. It is used to controlled mutilations areapplied to haphazardly picked images and introduced to aclient for an explanation from a given list of words. In thispaper, we centre on how AI strategies perceive Image-basedCAPTCHA. Additionally, we recall the image-basedCAPTCHA. This paper proposed a strategy dependent on theBack Propagation algorithm to pinpoint the image-basedCAPTCHA.
机译:CAPTCHA是互联网世界的超现代安全方法。有各种形式的CAPTCHA。这篇论文提出了另一种形式的CAPTCHA被称为基础的CAPTCHA。基于图像的CAPTCHA是与其他CAPTCHA(文本和助理CAPTCHA)技术的比较。已介绍基于图像的CAPTCHA,以解决侧面的方法的局限性。它用于控制难以随意挑选的图像,并从给定的单词列表中引入ACLIET。在此纸纸中,我们担任AI策略如何感知到基于图像的策略。此外,我们还记得基于图像的图像。本文提出了一种依赖于Hackback传播算法的策略来确定基于图像的图像。

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