Machine learning - Using computer vision, convolutional neural network, and python frameworks and libraries like Keras, tensorflow.Tools like Ocrad, tesseract solve CAPTCHAs but with very low accuracy.

OCR (Optical Character Recognition) enabled bots - This particular approach solves CAPTCHAs automatically using Optical Character Recognition (OCR) technique.Here are the popular CAPTCHA solving methods available for the users to solve the CAPTCHA and reCAPTCHA: Solving one can get challenging sometimes as the technology used in CAPTCHA and reCAPTCHA is getting smarter as we speak with updates coming at regular intervals. There are different types of CAPTCHA, text-based CAPTCHA, image-based CAPTCHA, reCAPTCHA, and mathematical CAPTCHA. Thus, we are only left with CAPTCHA bypassing using automated scripts. The legit examples are scenarios where a new client or business partner has joined you and needs access to your Application Programming Interface(API) which is not ready or can’t be shared with due to some security issue or abuse it may give rise to. Spammers use CAPTCHA solving to extract email addresses of users to be able to generate as many spams as possible. Now, people use automated CAPTCHA solving for different use cases, some of these are illegal while others are legitimate purposes. The assumption that underlies the concept of CAPTCHA is that only a human would pass this test and bot or automated scripts would fail. CAPTCHA can be defined as a computer program developed to distinguish between the human and machine to prevent any type of illicit activity on websites. An acronym for Completely Automated Public Turing test to tell Computers and Humans Apart. It’s the annoying human validation check added on many websites. What is CAPTCHA?ĬAPTCHA is no longer an alien term to web users.

Let’s understand in detail what all services do we have to tackle this problem and which turns out to be the best. The accuracy levels are not yet accepted by the users. Working on a few problems related to the convolutional neural network, we have figured that there is a lot of scope of improvement in this domain. With a massive range of problems lying under the hood which are being solved by ML, CAPTCHA breaking is just another branch of problem. Machine learning has become more than a buzzword now. How far has Machine learning reached in the domain of CAPTCHA solving?

Image recaptcha bypass