Face recognition using user specific features

Holistic approaches of face recognition are not robust to illumination, scale, occlusion and age variations. Various studies indicate that the performance of holistic approaches degrades as the face database size increases. In this paper, we propose a user specific landmark geometry based approach that assigns weights to different geometrical distances according to their role in face recognition process. The term user specific implies that, the feature vector of each face in the database comprises a unique set of features. The idea is inspired by the fact that, humans recognize individuals by identifying one´s unique characteristics (e.g. unusually long nose or big eyes). We propose a method to identify these characteristics and use them as features for particular face. Experimental results show that our specific feature approach has better accuracy and faster than available technique.