Survey on face recognition

Face detection and recognition have been explored with various supervised and unsupervised learning techniques. The foundation of all the algorithms is to detect the feature vectors from the face (eye height & width, lip width, ratio of distance between eye to nose etc..).Various classification algorithms are compared with different combination to analyze and decide which combination operates best. This paper, explains the various existing methods based on their accuracy on different kinds of datasets.