Abstract
CAPTCHAs is an interesting of research are short forCompletely Automated Public Turing test to tell Computersand Humans Apart. The purpose of a CAPTCHA is to blockform submissions from spam bots –automated scripts thatharvest email addresses from publicly available web forms. Weintroduce a new CAPTCHA which is based on identifying thecolor of image, object or background. This actually requiresanalysis of complex contents of image, which humans usuallyperforms well but machines or robots usually do not. From alarge database of images, we select many images which havingsingle color. The main advantages of our CAPTCHA techniqueover the traditional text-based techniques are that it is languageindependent,does not require text-entry.General
Highlights
CAPTCHAs is an interesting of research are short for Completely Automated Public Turing test to tell Computers and Humans Apart
We introduce Sequenced Picture Captcha (SPC)
In this paper we propose a multi level approach using hard image segmentation and embedded text to enhance the security of Human Interaction Proof (HIPs)
Summary
Hopper (all of Carnegie Mellon University, and John Langford ( of IBM) They are challenge-response tests to ensure that the users are human. A common kind of CAPTCHA used on most websites requires the users to enter the string of characters that appear in a distorted form on the screen. Attacks are common on free email providers to acquire accounts. Nefarious bots use these accounts to send spam emails, to post spam and advertisements on discussion boards, and to skew results of online polls. You've probably seen CAPTCHA tests on lots of Web sites. The most common form of CAPTCHA is an image of several distorted letters. If your letters match the ones in the distorted image, you pass the test
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