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Recognition of Text CAPTCHA by using Back Propagation Algorithm of Artificial Neural network
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.i3308.0789s319
Subject(s) - captcha , computer science , artificial neural network , matlab , artificial intelligence , focus (optics) , software , backpropagation , machine learning , pattern recognition (psychology) , natural language processing , operating system , physics , optics
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 NNToolbox to train the network in MATLAB software

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