However until now, Google has built its own automated system that can beat CAPTCHAs with 99.8 percent accuracy!
The algorithm developed by Google which is being used by its Street View team to improve Google Maps, by helping to recognising characters in natural or blurry images. For example, the house numbers captured by the Street View cars in the course of gathering imagery for the mapping service.
Google stated that the algorithm can now accurately recognise 90 percent of street numbers, meaning Google Maps users looking for a particular building are likely to get a more specific and detailed result.
But as for the challenge, it turns out that the algorithm is also works roer cracking CAPTCHA puzzles designed to stop spammers using bots for services like Gmail. Google's engineers explain that the algorithm has 99.8 percent accuracy rate when trying to decipher the hardest puzzles created by Google's own CAPTCHA service, reCAPTCHA.
Despite the record breaking accuracy rate of the algorithm, Google says reCAPTCHA isn't broken or ineffective, partly due to an update to the service last year, which added "advanced risk analysis techniques". The system considers the user's engagement with it before, during, and after they interact with it. Using this approach helps it determine whether a potential user is likely to be human or not, before deciding how difficult a puzzle to serve up.
This algorithm can serve good support for OCR (Optical Character Recognition) but till now lets just hope the algorithm would be used by spammers, who are finding ways to automatically pass CAPTCHA puzzles.
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