A Novel Face Recognition Method Using Facial Landmarks

Abstract

In this paper we have presented a novel approach for face recognition. The proposed method is based on the facial landmarks such as eyes, nose, lips etc. In this approach, first the probable position of these landmarks is located from the gradient image. Secondly, the template matching is employed over a region around the probable positions to detect exact location of the landmarks. Then, statistical and geometric features are extracted from these regions. To reduce the dimension of the feature vector PCA is employed. In this experiment to classify the images Mahalanobis distance is employed. The performance of the proposed method is tested on ORL database.