Identify the Image-Based CAPTCHA by Using Back Propagation Algorithm of Artificial Neural Network
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2020 by IJETT Journal|
|Year of Publication : 2020|
|Authors : Renu Saroha, Sumeet Gill
|DOI : 10.14445/22315381/IJETT-V68I11P221|
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.
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.
 Francois Fleuret, Ting Li, Charles Dubout, Emma K. Wampler, Steven Yantis, and Donald German, Comparing machines and humans on a visual categorization test, Proceedings of the National Academy of Sciences, 2011.
 Zheng Chun, Zhang Jishan. Application of Genetic Algorithm in Computer Network Optimization Design. Natural Sciences Journal of Harbin Normal University, 34: (2018) 41-45.
 Moni Naor. Verification of a human in the loop or Identification via the Turing Test. Unpublished Manuscript, 1997.
 Wan Xiaoqi, Song Hui.Application of Convolution Neural Networks in Pattern Recognition of Partial Discharge Image. Power System Technology. 2018.
 Zhang Fan, Wang Guoqing.Research on Intelligent Robot Based on Neural Network Technology in the Background of WSN.Journal of Anhui Vocational College of Electronics & Information Technology, 17: (2018) 5-10.
 Yuan Zhu, Shen Yige," Automatic Control of Trajectory Optimization for Agricultural Robot," Agricultural mechanization research, (6) 2017.
 El Ahmad AS, Yan J, Tayara M the robustness of Google CAPTCHA`s. Computing Science, Newcastle University. 2011.
 Husain, R.; Kumar, K.; Gao, H.; Khan, I. Recognition of merged characters in Text-based CAPTCHAs. In Proceedings of the 2016 3rd International Conference on Computing for Sustainable Global Development (INDIA Com), New Delhi, India, 16(18) (2016) 3917–3921.
Backpropagation model, nntool, ANN, MATLAB, 2017.