Machine recognition of printed Arabic text utilizing natural language morphology
Identifieur interne : 003534 ( Main/Exploration ); précédent : 003533; suivant : 003535Machine recognition of printed Arabic text utilizing natural language morphology
Auteurs : Adnan Amin [Koweït] ; Sabah Al-Fedaghi [Koweït]Source :
- International Journal of Man-Machine Studies [ 0020-7373 ] ; 1989.
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.
Url:
DOI: 10.1016/S0020-7373(05)80160-9
Affiliations:
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