M. Najib Kaddioui Mohamed

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——in this paper proposes a novel approach to face recognition based on the combination of feature extraction methods, such as two-dimensional LBP-2DPCA and LBP-2DLDA, with a neural network (MLP). This later is used to classify the features matrix extracts for space data created by Two-dimensional Subspace Analysis. The proposed approach is tested on ORL and(More)
In this Paper, a classification method based on neural networks is presented for recognition of 3D objects. Indeed, the objective of this paper is to classify an object query against objects in a database, which leads to recognition of the former. 3D objects of this database are transformations of other objects by one element of the overall transformation.(More)
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