Abstract. Face recognition accuracy is determined by face detection results. Detected faces will be in view of clear and occlusion faces. If detected face has occlusion than recognition accuracy is reduced. This research is directed to increase recognition rate when detected occlusion face. In this paper is proposed normalization occlusion faces by Principal component analysis algorithm. After applying normalization method in occlusion faces false reject error rate is decreased.
So far, many one-time password based authentication schemes have been proposed; however, none is secure enough. In 2004, W.C.Ku proposed hash-based strongpassword based authentication scheme without using smart card that is vulnerable to the password guessing attack, not achieving mutual authentication and key agreement. In this paper, we propose a new improved version of Ku's scheme that is eliminated these weaknesses.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.