Salim Ouchtati  , Mohamed Redjimi  , Mouldi Bedda  , Faouzi Bouchareb  , 
    A New off Line System for Handwritten Digits Recognition,
    Asian Journal of Information Technology,
    Volume 5,Issue 6,
    2006,
    Pages 620-626,
    ISSN 1682-3915,
    ajit.2006.620.626,
    (https://makhillpublications.co/view-article.php?doi=ajit.2006.620.626)
    Abstract: 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
    Keywords: Optical characters recognition;neural networks;barr features;image processing;pattern recognition