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      reCAPTCHA: human-based character recognition via Web security measures.

      Science (New York, N.Y.)

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          Abstract

          CAPTCHAs (Completely Automated Public Turing test to tell Computers and Humans Apart) are widespread security measures on the World Wide Web that prevent automated programs from abusing online services. They do so by asking humans to perform a task that computers cannot yet perform, such as deciphering distorted characters. Our research explored whether such human effort can be channeled into a useful purpose: helping to digitize old printed material by asking users to decipher scanned words from books that computerized optical character recognition failed to recognize. We showed that this method can transcribe text with a word accuracy exceeding 99%, matching the guarantee of professional human transcribers. Our apparatus is deployed in more than 40,000 Web sites and has transcribed over 440 million words.

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          Most cited references3

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          CAPTCHA: Using Hard AI Problems for Security

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            Estimating degradation model parameters using neighborhood pattern distributions: an optimization approach

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              Electronic Composition and the Typesetter

              Fred Long (1993)
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                Author and article information

                Journal
                18703711
                10.1126/science.1160379

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