Performance of many state-of-the-art face recognition (FR) methods deteriorates rapidly, when large in size databases are considered. In this paper, we propose a novel clustering ...
Abstract. This paper proposes a new method to solve the problem of face recognition under varying illumination conditions. We introduce an exemplar-based technique to decouple and ...
In this paper, a discriminative manifold learning method for face recognition is proposed which achieved the discriminative embedding the high dimensional face data into a low dim...
Linear Discriminant Analysis (LDA) technique is an important and well-developed area of image recognition and to date many linear discrimination methods have been put forward. Desp...
In this paper we propose a face recognition algorithm that combines internal and external information of face images. Most of the previous works dealing with face recognition use o...