Arsbic Handwritten features for recognition

the present studf i. ,Git,ibution in the filed of Arabic character iecognition. Entered pattern from an image scanner is subject to soirre speciai treatments. First it is preprocessed. That is Arabic is segmentetl into character after the process of digitization smoothing, t-hinning and resizing. Then modified moment invariant computeJusing the shape boundary of the character only is utilized as features Also this study is concerned with the recognition of handwritten Arabic character drawn on a graphic tablet At first feature that are suitable for recognition are proposed Feature that are found to be independent of the writer style are represented as a list (vector) of integer values. Generally we can refer to our design is an Arabic text recognition system basically includes a segmentation stage in order to recolnize handwritten Arabic words- The segmentation process is o.f,ltly based on tracing the outer of given word and calculating the output distance between the extreme points of intersection of the contoui with vertical line. At the output of the segmentation stage the cursive word is presented as a sequence of isolated character contour