The growing demand in the field of security led to the development of interesting approaches in face classification. These works\nare interested since their beginning in extracting the invariant features of the face to build a single model easily identifiable by\nclassification algorithms. Our goal in this article is to develop more efficient practical methods for face detection. We present a\nnew fast and accurate approach based on local binary patterns (LBP) for the extraction of the features that is combined with the\nnew classifier Neighboring Support Vector Classifier (NSVC) for classification.The experimental results on different natural images\nshow that the proposed method can get very good results at a very short detection time. The best precision obtained by LBP-NSVC\nexceeds 99%.
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