Badita Florin

History

I. CAPTCHA was first used in 2000 , in order to prevent spammers and bots from making spam and generating fake email accounts . The first company to find itself related in this sort of problems where AltaVista and Yahoo, with yahoo chat, that was bombarded with spam bots entering in chat rooms and spamming (advertising ) there sites.

II. Captcha stand for : “"Completely Automated Public Turing test to tell Computers and Humans Apart." Its a computer algorithm made to be easy for human to read, but harder for a computer software or program to decipher. The First Captcha ware plain simple text, generated random , and was easy to hack and automated the process with an OCR-software ( Optical character recognition ) .

III. A funny but real problem about the Captcha its dated 10 years ago, in 1999, Slashdot published a poll that asked visitors to choose the graduate school that had the best program in computer science. Students from two universities — Carnegie Mellon and MIT — created automated programs called bots to vote repeatedly for their respective schools. While those two schools received thousands of votes, the other schools only had a few hundred each. If it’s possible to create a program that can vote in a poll, how can we trust online poll results at all? A CAPTCHA form can help prevent programmers from taking advantage of the polling system. This is a good reason why online polls can not be trusted, is more easy to cheat , so the results are not as real as an offline survey.

Facts

IV.  To make the process more difficult, the programmers started adding lines, double words, 45 % angle to the text, noise background, the result ? Captcha has become something annoying, stressing, and time consuming. In fact a lot of people believe that its impossible to white the captcha the first time you try :)) . On google they are over 600.000 post with the query “i hate captcha” , and many more people hate it, but don’t know what captcha mean .

V. One solution can come from replacing this annoying text captcha with images, making more simple and fun the hole process .

"Researchers at Penn State have developed a patent-pending image-based CAPTCHA technology for next-generation computer authentication. A user is asked to pass two tests: (1) click the geometric center of an image within a composite image, and (2) annotate an image using a word selected from a list. These images shown to the users have fake colors, textures, and edges, based on a sequence of randomly-generated parameters. Computer vision and recognition algorithms, such as alipr, rely on original colors, textures, and shapes in order to interpret the semantic content of an image. Because of the endowed power of imagination, even without the correct color, texture, and shape information, humans can still pass the tests with ease. Until computers can ‘imagine’ what is missing from an image, robotic programs will be unable to pass these tests. The system is called IMAGINATION and you can try it out."

I`m currently banned for trying to act like a boot “You have been banned for too many failed attempts”.

VI. A great solution may come from google, with image oriented images. The short story :

We present a new CAPTCHA which is based on identifying an image’s upright orientation. This task requires analysis of the often complex contents of an image, a task which humans usually perform well and machines generally do not. Given a large repository of images, such as those from a web search result, we use a suite of automated orientation detectors to prune those images that can be automatically set upright easily. We then apply a social feedback mechanism to verify that the remaining
images have a human-recognizable upright orientation. The main advantages of our CAPTCHA technique over the traditional text recognition techniques are that it is language-independent, does not require text-entry (e.g. for a mobile device), and employs
another domain for CAPTCHA generation beyond character obfuscation. This CAPTCHA lends itself to rapid implementation and has an almost limitless supply of images. We conducted
extensive experiments to measure the viability of this technique.

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