%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