الفهرس 
Ovenriew On Fuzzy LogicOnly 14 pages are availabe for public view
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Abstract
The objective of tlus thesis is to discuss the problem
of Arabic online handwriting recognition and finding techniques to
be applied in a system for recognizing Arabic characters and
words. At first, the research was focused on the recognition of
handwritten isolated Arabic characters and Hindi numerals which
are used in our daily life as Arabic numerals. Later on, a
prelimimuy study is ca1Tied on the recognition of handwritten
Arabic words (which is cursive by its nature). This study results on
developing a word segmentation module to be used in word
recogmtwn system. The study also discussed the needed
modifications on the otl1er modules of tl1e word recognition system
to be compatible with the output from the developed word
segmentation module. Most of the described techttiques are
implemented in the developed programs within tlus tl1esis.
The major stages of the introduced handwriting recognition
system are as follows:The classification (Segment or character) is done with the aid of
fuzzy rules. The fuzzy rules simplify the design and provide the
ability to extend the rule base easily, which provides the system the
ability to extend the set of defined characters to be recognized.
Many ambiguities that exists in handwritten characters can
be reduced by the techniques discussed in this thesis. These
techniques are flexible enough to overcome the variations of
handwriting modes. The flexibility of these teclmiques permits the
recognition system to be able to recognize characters from a new
writers.