Shulou(Shulou.com)06/01 Report--

In this issue, the editor will bring you an example analysis of the development trend of capcha CAPTCHA. The article is rich in content and analyzed and described from a professional point of view. I hope you can get something after reading this article.

The first person who wants to solve this problem is Yahoo, as the most important free email provider in the early Internet era, on the one hand, they have to solve the hundreds of spam bombardment that users encounter every day, on the other hand, their own free mailboxes, it is precisely the favorite spam that consumes countless resources to prevent spam, all from their own servers. This makes Yahoo begin to think seriously about how to solve the problem of man-machine identification.

The earliest capthca on the Internet

They found a genius, Luis von Ahn, who was just 21 years old at the time. The scheme given by Luis Von Ahn is the verification code Capcha, which makes people frown slightly but let computers shrug their shoulders and scratch their heads. Computer identification technology is still very backward, for the distorted, contaminated text, can not be recognized. But humans can easily recognize these words. This is a simple and ingenious design, the computer first generates a random string, and then uses the program to randomly pollute, distort, and then display the image of the string to the person or machine in front of the display. Anyone who can recognize these characters is human.

The story is not over. Luis Von Ahn is the kind of scientist who pursues perfection. When billions of people around the world waste a few seconds every day in the simple activity of recognizing words, he begins to wonder whether the wasted intelligence of the human brain can be better used.

The ultimate design of Luis Von Ahn is to allow people to use this brainpower to digitize books that cannot be solved by computers.

Printing has existed for hundreds of years before the computer age, but the books and newspapers produced by these printing techniques are all analog signals for computers, only in the form of images, rather than in digital form. However, the early printing was not accurate, and the text varied in size and image. And because the printed matter is old, it has all kinds of subtle defects and pollution. This is not a big problem for the human eye, but it is troublesome for the computer.

At present, double capcha can be seen on google, yahoo, youtube and other websites, one is a document image that needs to be recognized, and the other is a computer-generated capcha.

Therefore, in 2002, luis Von Ahn began to ask capcha to quote a variety of text images that cannot be recognized by the computer. At present, tens of thousands of websites have adopted his new generation of capcha. Helps identify millions of ancient documents every day.

The problem is that, for the original capcha, the computer actually knew the answer. And the words that Luis wants people to recognize, the computer actually doesn't know the answer, so how can you verify that the answer returned is true?

The solution to this problem still reflects the usual simplicity and beauty of Luis, which asks people to recognize two at a time, rather than one capcha, one from a randomly generated string by the computer, and the other from a character image selected from the document that the computer does not understand. As long as the answer given to the previous string is correct, it is determined that the identification of the latter capcha is correct.

In this way, luis's capcha2.0 has helped digitize the entire New York Times newspaper archive for 130 years-a project that could take countless time and resources to be completed by netizens within a few months.

Of course, this is the human flesh business opportunity that Americans find in capcha. On the other hand, do you know how Chinese and Indians look for human flesh business opportunities in capcha?

To put it simply, through a series of procedures, Asian labor-intensive industries focus on the capcha identification problems that various spam registration and video game gold coin farmers need to solve in the hands of a few people who are specifically responsible for identifying capcha. These people's job is to identify capcha for spam registration software. Once they can impersonate human beings, each one gets half a rupee and needs to identify thousands of capcha every day.

This is how labor-intensive and capital-intensive economies price human brainpower.

The above is the example of the development of the verification code trend of the capcha website shared by the editor. If you happen to have similar doubts, you might as well refer to the above analysis to understand. If you want to know more about it, you are welcome to follow the industry information channel.

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