Classification of Arabic script using multiple sources of information: State of the art and perspectives

Abstract.In this paper, we present a review of the state of the art in the current classification techniques used in the optical character recognition of the Arabic script (AOCR). We consider multiple sources of information-based hybrid approaches and multiple classifiers. We show that in order to improve classification results obtained with single classifiers, it is necessary to combine several sources of information either at the level of feature extraction/description, or at the classification stage, or at both levels. We provide a qualitative comparison and discuss the strengths and weaknesses of these approaches

Evaluation of 3D current injection patterns for human lung monitoring in electrical impedance tomography

Electrical impedance tomography (EIT) is a non-invasive imaging technique for monitoring the lungs continuously. During EIT Measurements, currents propagate intrinsically in 3D, since electrical current propagates diffusely in the human tissues, so a 2D EIT remains not sufficient to study the out-of-electrodes plane effects on the images. Until now, not enough effort has been made to evaluate the performance of 3D measurement patterns for lung monitoring. In this paper, to investigate 3D current injection patterns for 3D EIT, a 3D model mimicking the geometrical and electrical characteristics of the human thorax has been developed based on Finite Element Method (FEM) along with the Complete Electrode Model (CEM). Simulations have been performed with aligned (“planar,” “zigzag”, “square”, “zigzag opposite”, and “planar opposite”), and offset (“planar offset”, and “zigzag offset”) current injection patterns. Analysis shows the greatest current density diffusion results using the “zigzag opposite” current injection pattern

Vérification de Signatures Manuscrites : cas des Faux par Imitation

Dans ce papier nous nous intéressons au problème des faux par imitation dans un contexte de vérification hors ligne de la signature manuscrite. Ce type de faux constitue le cas le plus problématique lié à la vérification de la signature manuscrite hors-ligne. Notre étude a montré l'importance de la prise en compte aussi bien des caractéristiques globales que des détails de la forme de la signature. Nous proposons pour cela une approche de caractérisation efficace qui a conduit des résultats encouragents