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Face recognition is considered as a high dimensionality problem. To handle high dimensionality, a numerous methods have been proposed in literature. In this paper, we propose a novel face recognition method that efficiently solves that problem using MPEG-7 edge histogram descriptor. To the authors' knowledge, this is the first attempt to use edge histogram descriptor in face recognition. Although...
A vital issue for face recognition is to represent a face image by effective and efficient features. To-date a numerous feature extraction techniques have been proposed in the literature. Among them, content based image retrieval (CBIR) using curvelet transform captures accurate texture features to represent the image. In this paper, we propose a novel face recognition method that uses curvelet texture...
We introduce a facial expression recognition method, which incorporates a weight to the Local Binary Pattern (LBP), and generates solid expression features. Furthermore, we use Adaboost to select a small set of prominent features, which is used by the Support Vector Machine (SVM) to classify facial expressions efficiently. Experimental results demonstrate that our method outperforms the state-of-the-art...
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