On-line recognition of handwritten Arabic characters
Al-Emami, S.
Usher, M.
Dept. of Cybern., Reading Univ.;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Jul 1990
Volume: 12,
Issue: 7
On page(s): 704-710
ISSN: 0162-8828
References Cited: 7
CODEN: ITPIDJ
INSPEC Accession Number: 3724672
Digital Object Identifier: 10.1109/34.56214
Current Version Published: 2002-08-06
Abstract
Arabic characters are always in cursive script. Handwritten words
were entered into an IBM PC via a graphics tablet and a segmentation
process applied to the points; the length and the slope of each segment
was then found, and the slope categorized into one of four directions.
In the learning process, specifications on the strokes of each character
are fed to the computer. In the recognition process, the parameters of
each stroke are found and special rules applied to select the collection
of strokes which best matches the features of one of the stored
characters. The results are promising, and suggestions for improvements
leading to 100% recognition are proposed
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