@article{MAKHILLAJIT2006565143,
    title = {A New off Line System for Handwritten Digits Recognition},
    journal = {Asian Journal of Information Technology},
    volume = {5},
    number = {6},
    pages = {620-626},
    year = {2006},
    issn = {1682-3915},
    doi = {ajit.2006.620.626},
    url = {https://makhillpublications.co/view-article.php?issn=1682-3915&doi=ajit.2006.620.626},
    author = {Salim Ouchtati,Mohamed Redjimi,Mouldi Bedda and},
    keywords = {Optical characters recognition,neural networks,barr features,image processing,pattern recognition},
    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}
    }