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Guelma, Algeria

Benzaoui A.,University of 08 Mai 1945 | Boukrouche A.,University of 08 Mai 1945
International Journal of Imaging and Robotics | Year: 2015

The Human ear is a new technology of biometrics which is not yet used in a real context or in commercial applications. For this purpose of biometric system, we present an improvement for ear recognition methods that use Elliptical Local Binary Pattern operator as a robust descriptor for characterizing the fine details of the two dimensional ear imaging. The improvements are focused on features extractions and dimensionalities reductions steps. The realized system is mainly appropriate for identification mode; it starts by decomposing the normalized ear image into several blocks with different resolutions. Next, the local textural descriptor is applied on each decomposed block. A problem of information redundancies is appeared due to the important size of the concatenated histograms of all blocks, which has been resolved by reducing of the histogram’s dimensionalities and by selecting the pertinent information using Haar Wavelets. Finally, the system is evaluated on the IIT Delhi Database containing two dimensional ear images and we have obtained a success rate about 97% for 493 images from 125 persons and about 96% for 793 images from 221 persons. © 2015 by IJIR (CESER PUBLICATIONS). Source


Miloudi M.,University Djilali Liabes | Medles K.,University Djilali Liabes | Mokdad R.,University of 08 Mai 1945 | Kachi M.,University of 08 Mai 1945 | Dascalescu L.,University of Poitiers
IEEE Transactions on Dielectrics and Electrical Insulation | Year: 2016

Preventing accumulation of static charges and finding means for its elimination have been topics of active research in the field of electrostatic separation technologies for granular mixtures of insulating mixtures. Four installations are examined as potential solutions for the neutralization of the residual charges in separation processes. The experiments are performed with mm-size granules of Acrylonitrile Butadiene Styrene (ABS) and High-Impact Polystyrene (HIPS) recovered from industrial wastes. The granules are corona charged at a potential similar to that acquired by triboelectric effect. They are spread across an electrode connected either to the ground or to a high voltage (HV) of opposite polarity, then exposed to either DC or AC corona, in view of neutralizing the residual charge. The use of AC corona gives the best results, attaining neutralization rates as high as 95.3 % for ABS and 87.3 % for HIPS granules. © 2016 IEEE. Source


Benzaoui A.,University of 08 Mai 1945 | Boukrouche A.,University of 08 Mai 1945
Control Engineering and Applied Informatics | Year: 2014

In this study of a biometric system, Improved One Dimensional Local Binary Patterns (I1DLBP) are developed and tested for use in face analysis, description and recognition. The extraction of facial features is based on the principal that the human visual system combines local and global features to differentiate between people. The proposed method starts by decomposing the facial image into several blocks with different resolutions. Each block is then projected in one dimensional space, and the developed descriptor is applied on each projected block. Finally, Principal Component Analysis (PCA) is used to reduce the dimensionalities of the concatenated vectors from each block and to keep only the relevant information. The K-nearest neighbors (KNN) algorithm is used as a classifier. Experiments were carried out under varying conditions of occlusion, rotation, and facial expressions, using the ORL and AR databases. Results show that the developed feature extraction approach can effectively describe the micro characteristics of the human face and that it outperforms well-known and classical feature extraction descriptors. Source


Cherairia M.,University of 08 Mai 1945 | Adler P.H.,Clemson University | Samraoui B.,University of 08 Mai 1945 | Samraoui B.,King Saud University
Zootaxa | Year: 2014

Black flies in the Seybouse River Basin in northeastern Algeria were sampled at 31 sites along the main river and its tributaries across all seasons from 2011 to 2013. Eight nominal species and species complexes in three genera were identified among more than 31,000 specimens. Urosimulium faurei (Bernard, Grenier & Bailly-Choumara), Simulium (Eusimulium) mellah Giudicelli & Bouzidi, and Simulium (Nevermania) lundstromi (Enderlein) were recorded for the first time in northeastern Algeria. Three cytoforms of the Simulium (Eusimulium) velutinum complex and two morphoforms of Simulium (Nevermannia) ruficorne Macquart were found. The most abundant and ubiquitous taxon, Simulium (Wilhelmia) pseudequinum Segúy, representing nearly 80% of collected specimens, occupied the widest range of habitats, including those with anthropogenic influences. Copyright © 2014 Magnolia Press. Source


Benzaoui A.,University of 08 Mai 1945 | Kheider A.,University of 08 Mai 1945 | Boukrouche A.,University of 08 Mai 1945
2015 1st International Conference on Applied Research in Computer Science and Engineering, ICAR 2015 | Year: 2015

The human ear is a new technology in biometrics which is not yet used in a real context or in commercial applications. For this purpose of biometric system, we present an improvement for ear recognition methods that use Elliptical Local Binary Pattern operator as a robust technique for characterizing the fine details of the two dimensional ear images. The improvements are focused on feature extraction and dimensionality reduction steps. The realized system is mainly appropriate for verification mode; it starts by decomposing the normalized ear image into several blocks with different resolutions. Next, the textural descriptor is applied on each decomposed block. A problem of information redundancies is appeared due to the important size of the concatenated histograms of all blocks, which has been resolved by reducing of the histogram's dimensionalities and by selecting of the pertinent information using Haar Wavelets. Finally, the system is evaluated on the IIT Delhi Database containing two dimensional ear images and we have obtained a success rate about 94% for 500 images from 100 persons. © 2015 IEEE. Source

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