Face Recognition From a Single Sample Using Rlog Filter and Manifold Analysis
Jaya Susan Edith.S, A. Usha Ruby · Advanced Computing An International Journal · 2014
Face recognition is A technique that has been widely used in various important field, this process helps in the identification of an individual by a machine for the purpose of security and ease of work.The normal technique of face recognition usually works better when there are multiple samples for a single person (MSSP) is available.In present applications where this technique is to be used such as in social networks, security systems, identification cards there is only a single sample per person (SSPP) that is readily available.This less availability of the samples causes failure in the working of conventional face recognition techniques which require multiple samples for a particular individual.To overcome this drawback which sets back the system from the accurate functioning of face recognition this paper puts forward a novel technique which makes use of discriminative multi-manifold analysis (DMMA) that extracts distinctive features using image patches.Recognition is done by the process of manifold to manifold matching.Hence there is an increment in the accuracy rate of face recognition.