%0 Journal Article
%T A Neuro-Euclidian Approach to Handwritten Word Recognition
%A Mohamed Senouci
%A Abdelkarim Liazid
%A Hadj Ali Beghdadi
%A Djilali Benhamamouch
%J Information Technology Journal
%D 2006
%I Asian Network for Scientific Information
%X This study addresses a segmentation technique to handwritten word recognition. This technique implements an algorithm based on analytical approach. It uses a letter sweeping procedure with a step equal to the Euclidian distance between an established reference index and the entity (the alphabet letters). Then a dissociation of this entity is achieved when this distance reached a rate of 80%. Experimenting our segmentation technique gives a rate of 81.05% of recognition whole. A neuronal multi-layer perceptron classifier confirms the extracted segment. This procedure is successively repeated from the beginning until the end of the word. A concatenation is finally used to the word reconstitution.
%K Pattern recognition
%K segmentation
%K neurons networks
%K handwritten word
%U http://docsdrive.com/pdfs/ansinet/itj/2006/958-963.pdf