Abstract
We describe a computer system for recognizing the printed Arabic text of multifonts. The system contains four components: acquisition, segmentation, character recognition and word recognition. The word recognition component includes two sub-systems: a morphological spelling checker/correcter, and a morphological word recognizer. With a 95·5% character recognition rate corresponding to an 81·58% word recognition rate, tests have resulted in an increase in the rate of word recognition by 6·97% using the proposed morphologically based method.
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