Implementation of advanced authentication system using opencv by capturing motion images

Authentication means preserving the systems and information from unwanted unauthorized access, usage, disclosure, disruption, integration, inspection, modification or destruction of the information. The studies have shown that the text passwords are more vulnerable to shoulder surfing, brute force, and dictionary attacks. The password with images are hard to guess and will provide a more secure way to access the recourse, with much more security but they are still vulnerable to shoulder surfing attacks. In proposed system the video is used as a password. OpenCv (open source computer vision) is used, which is an open source to capture video and will extract the frames out of the videos and these frames are stored in an encrypted form using AES(advanced encryption standard) and in turn to authenticate the user JAMA(numerical linear algebra library) is used. Java is used for implementation which is platform independent. The proposed method can be used where the password protection is required like in banking, educational systems, social accounts, Gmail, email, desktops and in every field where the information is required to be protected.