Enhancing The Human Perceivable Image Content In CAPTCHA Based BF Algorithm

-------------------------------------------------------------ABSTRACT-------------------------------------------------------A novel technique of Captcha is regenerated by using composite images that are generated in the given data base. Captcha is a type of challenge response test used in computing to determine whether or not the user is human. Captcha are used to prevent bots or automated programs from using various types of computing services or collecting certain types of sensitive information. Modern techniques such as fcaptcha & dcaptcha are used to separate abilities invariant recognition, segmentation and parsing. Captcha is a test made of an image and distorted text that has to be solved by human users when they want to subscribe to websites that want to make sure the user is a human being or a computer to prevent the spam. Hence various methods are done through dcaptcha their some drawbacks such as data access only possible not for the image and recognition access, these drawbacks is overcome by using the fcaptcha technique here it can be identify both figure and data simultaneously hence to prove the recaptcha as early. Image separation is done in the two forms Extracting the distorted image to improve the performance and to get back the robustness of the image by removing the noise which presented in the data base by using Gaussian Distributing filters and hence the second separation is done by using the BF (Background & Foreground Extraction) which helps in the extracting the input image and also the noise removed image in the form of two B & F, which represents the image identification for the corresponding data to be selected in any mode of places may be at nature or human images. Here it can identify the person is avail to enter the procedure. The image is evaluated by using various image enhancement techniques.