Recognition of Text CAPTCHA by using Back Propagation Algorithm of Artificial Neural network
Sumeet Gill1, Renu Saroha2

1Sumeet Gill, Associate Professor in Department of Mathematics, Maharshi Dayan and University, Rohtak, Haryana, India.

2Renu Saroha, Ph.d Scholar Department of Computer Science Application, Maharshi Dayan and University, Rohtak, Haryana, India.

Manuscript received on 10 July 2019 | Revised Manuscript received on 22 July 2019 | Manuscript Published on 23 August 2019 | PP: 1448-1459 | Volume-8 Issue-9S3 August 2019 | Retrieval Number: I33080789S319/2019©BEIESP | DOI: 10.35940/ijitee.I3308.0789S319

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Abstract: Text-based CAPTCHA is a very simple type of CAPTCHA which are most widely used. It uses only a group of characters. In this paper, we focus on how Text based CAPTCHA is recognized by machine learning techniques. This paper proposed a method based on Back Propagation algorithm to identify the Text based CAPTCHA. The proposed technique improves the security level of Text-based CAPTCHA storage system by using the Back-propagation method of Artificial Neural Network. We used NN Toolbox to train the network in MATLAB software.

Keywords: Text-based CAPTCHA, Back-propagation Algorithm, Artificial Neural Networks.
Scope of the Article: Algorithm Engineering