• Sweta
• Shivanand S. Rumma

A CAPTCHA which is based on identifying an image’s upright orientation is a 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, a suite of automated orientation detectors to prune those images that can be automatically set upright easily. It then applies a social feedback mechanism to verify that the remaining images have a human-recognizable upright orientation. The main advantages of 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. The aim of the topic is to provide the security over the internet for spoofing type of threats using captcha application. Traditional CAPTCHAs require the user to identify a series of letters that may be warped or obscured by distracting backgrounds and other noise in the image. Various amounts of warping and distractions can be used. Recently, many character recognition CAPTCHAs have been deciphered using automated computer vision techniques. These methods have been custom designed to remove noise and to segment the images to make the characters amenable for optical character recognition. The existing system uses the traditional way of submitting the information to the server where validation is not taken place to justify whether the one who is sending the information is human or some kind of virus is involved. This is a serious issue for the web site administrator because one does not want to get the data uploaded from the virus.

Audio Captcha, Graphics Captcha, Spam, Turing test.

"Online Script Recognition Using Captcha Over Internet", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.383-385, May-2019, Available :http://www.jetir.org/papers/JETIR1905O61.pdf

"Online Script Recognition Using Captcha Over Internet", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp383-385, May-2019, Available at : http://www.jetir.org/papers/JETIR1905O61.pdf