Recognition of handwritten cursive Arabic characters
Abuhaiba, I.S.I.
Mahmoud, S.A.
Green, R.J.
PO Box 89591, Riyadh, Saudi Arabia;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Jun 1994
Volume: 16,
Issue: 6
On page(s): 664-672
ISSN: 0162-8828
References Cited: 28
CODEN: ITPIDJ
INSPEC Accession Number: 4722525
Digital Object Identifier: 10.1109/34.295912
Current Version Published: 2002-08-06
Abstract
An automatic off-line character recognition system for handwritten
cursive Arabic characters is presented. A robust noise-independent
algorithm is developed that yields skeletons that reflect the structural
relationships of the character components. The character skeleton is
converted to a tree structure suitable for recognition. A set of fuzzy
constrained character graph models (FCCGM's), which tolerate large
variability in writing, is designed. These models are graphs, with
fuzzily labeled arcs used as prototypes for the characters. A set of
rules is applied in sequence to match a character tree to an FCCGM.
Arabic handwritings of four writers were used in the learning and
testing stages. The system proved to be powerful in tolerance to
variable writing, speed, and recognition rate
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