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Articles by Salim Ouchtati
Total Records ( 3 ) for Salim Ouchtati
  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
  Mohammed Redjimi , Salim Ouchtati and Mouldi Bedda
  In this study we present an off line system for the recognition of the isolated handwritten Arabic characters. 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 characters by the following methods: the centerd moments of the projections sequences, distribution parameters, the Barr features and Coding according the directions of Freeman.
  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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