I. INTRODUCTION In this project, we propose a new graphical password scheme for accessing web accounts called “Secure Web Account Access through Recognition Based Graphical Password by Watermarking”. Various graphical password schemes have been proposed as alternatives to text-based passwords. Research and experience have shown that text-based passwords are fraught with both usability and security problems that make them less than desirable solutions. Psychology studies have revealed that the human brain is better at recognizing and recalling images than text. Graphical passwords are intended to capitalize on this human characteristic in hopes that by reducing the memory burden on users, coupled with a larger full password space offered by images, more secure passwords can be produced and users will not resort to unsafe practices in order to cope. Human factors are often considered the weakest link in a computer security system. Patrick, et al. point out that there are three major areas where human computer interaction is important: authentication, security operations, and developing secure systems. Here we focus on the authentication problem. The most common computer authentication method is for a user to submit a user name and a text password. The vulnerabilities of this method have been well known. One of the main problems is the difficulty of remembering passwords. Studies have shown that users tend to pick short passwords or passwords that are easy to remember. Unfortunately, these passwords can also be easily guessed or broken. According to a recent Computerworld news article, the security team at a large company ran a network password cracker and within 30 seconds, they identiöed about 80% of the passwords. On the other hand, passwords that are hard to guess or break are often hard to remember. Studies showed that since user can only remember a limited number of passwords, they tend to write them down or will use the same passwords for different accounts. To address the problems with traditional username password II. BACKGROUND In the literature, several techniques have been proposed to reduce the limitations of the traditional alphanumerical password. One of the proposed solution is to use an easy to remember long phrases (passphrase) rather than a single word. Another proposed solution is to use graphical passwords, in which graphics (images) are used instead of alphanumerical passwords. This can be achieved by asking the user to select regions from an image rather than typing characters as in alphanumeric password approaches. R. Dhamija and Perrig proposed a graphical authentication scheme based on the Hash Visualization technique. In their system, the user is asked to select a certain number of images from a set of random pictures generated by a program. Later, the user will be required to identify the preselected images in order to be authenticated. results showed that 90% of all participants succeeded in the authentication using this technique, while only 70% succeeded using text-based passwords and PINS. The average log-in time, however, is longer than the traditional approach. A weakness of this system is that the server needs to store the seeds of the portfolio images of each user in plain text. Also, the process of selecting a set of pictures from the picture database can be tedious and time consuming for the user. III. PROPOSED WORK To overcome the drawbacks of the existing system, the proposed system has been evolved. In this project, however, we have focus on another alternative: using pictures as passwords. Graphical password schemes have been proposed as a possible alternative to text-based schemes, motivated partially by the fact that humans can remember pictures better than text; psychological studies supports such assumption. Pictures are generally easier to be remembered or recognized than text. In addition, if the number of possible pictures is sufficiently large, the possible password space of a graphical password scheme may exceed that of text based schemes and thus presumably offer better resistance to dictionary attacks. Because of these (presumed) advantages, there is a growing interest in graphical password. In addition to workstation and web log-in applications, graphical passwords have also been applied to SECURE GRAPHICAL PASSWORD USING CLUED CLICK POINT Original Research Paper Mayur Chincholkar Department of computer science and engineering P.R.Pote college,Amravat,Indiai Engineering In current era, most Internet applications still establish user authentication with traditional text based passwords. Designing a secure as well as a user friendly password-based method has been on the agenda of security researchers for a long time. On one hand, there are password manager programs which facilitate generating site-speciöc strong passwords from a single user password to eliminate the memory burden due to multiple passwords. We proposed different level of authentication such as textual authentication, image authentication and audio authentication, for providing better security for the applications. In textual Phase user will choose the username and password while making the registration. During registration user must input the registered username and password, if it match with the database then user can login to system. In image authentication model, we take image as input from user at time of registration and inserting cued point, cued point is selected part of image which is selected by user. At the time of login user should have to select image and select the part of image which he/she inserting at the time of registration w called it cued points. If this all information is match exactly then and only then user is authenticate and he/she eligible to login successfully ABSTRACT KEYWORDS : Graphical Passwords, Authentication, gateways, Cued Points. Heena Shaha* Sant Gadge Baba Amravati University, Amravati,India *Corresponding Author Hrishikesh Gosavi Department of computer science and engineering P.R.Pote college,Amravat,Indiai Manoj Thombare Department of computer science and engineering P.R.Pote college,Amravat,Indiai Kanchan Gomase Department of computer science and engineering P.R.Pote college,Amravat,Indiai Atul Jamnekar Prof. Department of computer science and engineering P.R.Pote college, Amravat,Indiai Dr. chetan Shelke Department of computer science and engineering P.R.Pote college, Amravat,Indiai 114 X GJRA - GLOBAL JOURNAL FOR RESEARCH ANALYSIS VOLUME-8, ISSUE-4, APRIL-2019 • PRINT ISSN No 2277 - 8160