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Articles by Faouzi Bouchareb
Total Records ( 3 ) for Faouzi Bouchareb
  Faouzi Bouchareb , Mouldi Bedda and Salim Ouchetati
  This study describes new preprocessing methods for hand-written Arabic word using Hough Transform and geometrical processing applied on the skeleton chain list, using characteristic points (end points, intersection points and coin points) of the word in order to estimate and correct a baseline and slant of the word. We use these algorithms in order to obtain an aligned word which can be well segmented and recognized. The results show that these methods are very powerful for most word images on the Algerian cities name database. The result image is useful for the holistic approach and segmentation approach.
  Salim Ouchtati , Mohamed Redjimi , Mouldi Bedda and Faouzi Bouchareb
  In this study, we present an off line method of handwritten isolated digits Recognition. The study is based on the analysis and the evaluation of multi-layers perceptron performances, trained with the gradient back propagation algorithm. It is hoped that the results of the evaluation contribute to the conception of operational systems. The used parameters to form the input vector of the neural network are extracted on the binary images of the digits by two methods: the centred moments of the distribution sequences and the Barr features
  Salim Ouchtati , Mouldi Bedda , Faouzi Bouchareb and Abderrazak Lachouri
  In this syudy we present an off line system for the recognition of the handwritten numeric chains. Our study is divided in two big parts. The first part is the realization of a recognition system of the isolated handwritten digits. In this study is based mainly on the evaluation of neural network performances, trained with the gradient back propagation algorithm. The used parameters to form the input vector of the neural network are extracted on the binary images of the digits by two methods: the centred moments of the distributions sequences and the Barr features. The second part is the extension of our system for the reading of the handwritten numeric chains constituted of a variable number of digits. The vertical projection is used to segment the numeric chain at isolated digits and every digit (or segment) will be presented separately to the entry of the system achieved in the first part (recognition system of the isolated handwritten digits). The result of the recognition of the numeric chain will be displayed at the exit of the global system.
 
 
 
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