Information Technology Journal1812-56381812-5646Asian Network for Scientific Information10.3923/itj.2006.958.963SenouciMohamed .LiazidAbdelkarim .BeghdadiHadj AliBenhamamouchDjilali .5200655This 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.]]>Anisirnov, A., N.F. Gorski, O. Augustin. D. Baret, J. Price and C. Sirnon,19991999pp: 523526Belaid, A. and Y. Belaid,1991Bozinivic, R.M. and S.N. Sriari,1989116883Breuel, T.M.,20012001pp: 821826Kirn, G., V. Govindaraju, A. Lexicon,199719366379Kosrnala, A., G. Rigoll and D. Willet,19981998pp: 15121514Kosrnola, A., D. Willvett and G. Rigoll,19991999pp: 442445Xia, D.C. and H.D. Cheng,19962997119Yacoubi, A., M. Giiloux, R. Sabourin and C.Y. Suen,199921752760Lorette, G. and Y. Lecourtier,19921992