Journal of Computer Science and Engineering

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Volume 7, Issue 1, May 2011

Adaptation of the data schema provided by the Web service WMS [Full Text]

N. Souissi


The GetFeatureInfo operation of the Web service WMS (Web Map Service) provides information associated to a spatial object. This information isn’t adequate in our view to make a relevant analysis of results (e.g., map, spatial object). The administrator of the database made available on the server does not know, by definition, the needs of different users. Symmetrically, the users don’t know the logic structuring of the database. We propose in this sense, a solution consisting of using a middleware in order to the semi-automatic determination of relevant attributes. The principle is to adapt through withdrawals of irrelevant attributes and/or additions of relevant attributes, the schema of result of the user query.


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Appearance-Based Automated Face Recognition System: Multi-Input Databases [Full Text]

M.A. Mohamed, M.E. Abou-Elsoud, and M.M. Eid


There has been significant progress in improving the performance of computer-based face recognition algorithms
over the last decade. Although algorithms have been tested and compared extensively with each other, there has been remarkably little work comparing the accuracy of computer-based face recognition systems with humans. We compared eight state-of-the-art face recognition algorithms with three different databases: (i) faces94; (ii) Olivetti research lab (ORL), and (iii) Indian face database (IFD). The face detection phase had been performed using the morphological features. The recognition
results had showed that in linear appearance based classifier; LDA performs better than ICA and PCA in terms of the accuracy of recognition. The computational overhead of LDA and the PCA are almost similar while ICA has a very long execution time. In addition, neural network based on DWT features perform better than classifiers based on other features.