DocumentCode :
1012620
Title :
Machine recognition and correction of printed Arabic text
Author :
Amin, Adnan ; Mar, Jean F.
Author_Institution :
Dept. of Math., Kuwait Univ., Kuwait
Volume :
19
Issue :
5
fYear :
1989
Firstpage :
1300
Lastpage :
1306
Abstract :
A method for automatic recognition of a multifont Arabic text entered from a scanner of 300 dpi density is presented. The system is based on two components, one for character recognition and one for word recognition. Character recognition is further divided into three phases: the digitization process, segmentation of words into characters, and identification of characters. The word recognition component is based on the Viterbi algorithm and can handle some identification errors. Character recognition was achieved despite several impeding properties of the Arabic script, especially the connectivity of characters. The processing speed is close to three characters per second with a 90% recognition rate. All algorithms were written in Pascal and run on an IBM PC/AT
Keywords :
optical character recognition; IBM PC/AT; OCR; Pascal; Viterbi algorithm; character recognition; computerised pattern recognition; digitization process; identification; printed Arabic text; segmentation; Character recognition; Control systems; Control theory; Costs; Design methodology; Differential equations; Hierarchical systems; Interconnected systems; Stability analysis; Text recognition;
fLanguage :
English
Journal_Title :
Systems, Man and Cybernetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9472
Type :
jour
DOI :
10.1109/21.44052
Filename :
44052
Link To Document :
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