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In This paper we presented new approach for cursive Arabic text recognitionsystem. The objective is to propose methodology analytical offline recognitionof handwritten Arabic for rapid implementation. The first part in the writingrecognition system is the preprocessing phase is the preprocessing phase toprepare the data was introduces and extracts a set of simple statisticalfeatures by two methods : from a window which is sliding long that text linethe right to left and the approach VH2D (consists in projecting every characteron the abscissa, on the ordinate and the diagonals 45{\deg} and 135{\deg}) . Itthen injects the resulting feature vectors to Hidden Markov Model (HMM) andcombined the two HMM by multi-stream approach.

A multi-stream hmm approach to offline handwritten arabic word recognition