A new pose invariant face recognition system using PCA and ANFIS

In this paper, an efficient pose invariant face recognition system using PCA and ANFIS (PCA-ANFIS) has been proposed. The features of an image under test have been extracted using PCA then neuro fuzzy based system ANFIS is used for recognition. The proposed system recognizes the face images under a variety of pose conditions by using ANFIS. The training face image dataset is processed by PCA technique to compute the score values, which are then utilized in the recognition process. The proposed face recognition technique with neuro-fuzzy system recognizes the input face images with high recognition ratio. The proposed approach is implemented in the MATLAB platform and it is evaluated by employing a variety of database images under various pose variant conditions. (C) 2015 Elsevier GmbH. All rights reserved.