Abstract— Today, it is a very common problem that bots attack on the online polls and register free email accounts automatically that increase the congestion on network as well as consume large amount of server space. Therefore, to prevent these kinds of attacks, a technique called Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA) have been used. The main motive of present research work is to design a CAPTCHA in order to increase the security by preventing bot attacks using random mathematical functions and background noise makes it invulnerable for the optical recognition (OCR) technique to break the CAPTCHA as OCR attack is capable of only extracting characters from an image. To make CAPTCHA more secure, cross operations has been embedded in the present algorithm which makes it impossible for OCR technique to decode its output result.
Keywords— CAPTCHA, OCR, Puzzle, Cross operation, Bots.
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