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In this paper, we propose an efficient multiple classifier system for Arabic handwritten words recognition. First, we use Chebyshev moments (CM) enhanced with some Statistical and Contour-based Features (SCF) for describing word images. Then, we combine several classifiers integrated at the decision level. We consider the multilayer perceptron (MLP), the support vector machine (SVM) and the Extreme...
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