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In this paper, we present the parameterisrrtion stage of an ofl-line Arabic handwriting recognition system. The method is based on the Hough Transform. This technique is well known for its robustness for detection of lines in images and for its capacity of absorption of distortions as well as noises that can blemish the script. We show through the obtained results the e f f i e n q of this method for the -actionof the global features of Arabic letter tracing.

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Route Mtdenine 601 1 Gab& (Tunisia)Sameh.Masmoudi@,isetgb.rnu.tn AbstractOff-line recognition of handwritten words is a difficult task due to the high variability and uncertainty of human writing. The majority of the recent systems have some constraints such as the limitation of the size of the lexicon to deal with. However, the recognition of city names involves the use of large vocabulav. Therefore, a segmentation stage is necessary to reduce the complex& of the problem. This paper presents the segmentation stage relative to a Planar HMM-based model (PHMM) for off-line recognition of Arabic cursive Tunisian city names. we discuss the diflerent segmentation steps and the variety of problems encountered when performing them. We especially focused on the median zone whose model depend highly on natural and vertical segmentation results.

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