Visible to the public A Cross Correlation Approach for Breaking of Text CAPTCHA

TitleA Cross Correlation Approach for Breaking of Text CAPTCHA
Publication TypeConference Paper
Year of Publication2018
AuthorsRathour, N., Kaur, K., Bansal, S., Bhargava, C.
Conference Name2018 International Conference on Intelligent Circuits and Systems (ICICS)
Date Publishedapr
KeywordsCAPTCHA, captcha images, captchas, challenge-response test, character recognition, composability, Correlation, cross correlation approach, distorted text, Human Behavior, image classification, image denoising, image segmentation, Noise measurement, OCR, online web service providers, Optical character recognition software, pubcrawl, security of data, Segmentation, Standards, text CAPTCHA, web services
AbstractOnline web service providers generally protect themselves through CAPTCHA. A CAPTCHA is a type of challenge-response test used in computing as an attempt to ensure that the response is generated by a person. CAPTCHAS are mainly instigated as distorted text which the handler must correctly transcribe. Numerous schemes have been proposed till date in order to prevent attacks by Bots. This paper also presents a cross correlation based approach in breaking of famous service provider's text CAPTCHA i.e. and the other one is of India's most visited website The procedure can be fragmented down into 3 firmly tied tasks: pre-processing, segmentation, and classification. The pre-processing of the image is performed to remove all the background noise of the image. The noise in the CAPTCHA are unwanted on pixels in the background. The segmentation is performed by scanning the image for on pixels. The organization is performed by using the association values of the inputs and templates. Two types of templates have been used for classification purpose. One is the standard templates which give 30% success rate and other is the noisy templates made from the captcha images and success rate achieved with these is 100%.
Citation Keyrathour_cross_2018