Break or understand the text based CAPTCHA with the help of the Machine Learning

 

Completely Automated Public Turing test to tell Computers and Humans Apart is abbreviated as “CAPTCHA”. In our daily life we generally see these kinds of CAPTCHA. If we are performing any transaction and we also get to solve enter the captcha value in the specified place then our transaction proceed further. In the given image we can see that there is a security image for which the user has to enter the image text into the security message.

We think that it provide more security to the system so that the any machine or BOT could not get these text automatically.

But we also know that Machine Learning is the field of computer science. Let us first know what machine learning is and how we can use machine learning to break the simple captcha?

Machine Learning is the technology where we trained the machine with the help of the database. We trained the machine and later on machine will predict the output. It has been seen that whatever the training is providing to the machine we get the output accordingly.

For Machine learning we need enormous data and high computation machines. Earlier we did not have such kind of machine and data. Now a days we are generating a huge amount of data every minute and we also have high computing machine is within the range of the normal people or there are organisation like Google, Amazon who can provide you cloud based computation facilities to the user.

As the tremendous development has been done in the field of Machine Learning, with the help of the machine learning and deep learning user can understand the simple CAPTCHA and automatically read these CAPTCHA and login to the account.

So there is a need to improve the CAPTCHA images or create it more complex so that machine could not understand it easily however with the availability of high computing machine it would be very easy to break or understand the simple or even complex CAPTCHA. Sooner we will see that either there will be improvement in the CATCHA or it will be replaced by any new terminology which will serve the same purpose.

 

 


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