  The ultimate aim of handwriting recognition is to make computers able to read
and/or authenticate human written texts, with a performance comparable to or
even better than that of humans. Reading means that the computer is given a
piece of handwriting and it provides the electronic transcription of that (e.g.
in ASCII format). Two types of handwriting: on-line and offline. The most
important purpose of off-line handwriting recognition is in protection systems
and authentication. Arabic Handwriting scripts are much more complicated in
comparison to Latin scripts. This paper introduces a simple and novel
methodology to authenticate Arabic handwriting characters. Reaching our aim, we
built our own character database. The research methodology depends on two
stages: The first is character extraction where preprocessing the word and then
apply segmentation process to obtain the character. The second is the character
recognition by matching the characters comprising the word with the letters in
the database. Our results ensure character recognition with 81%. We eliminate
FAR by using similarity percent between 45-55%. Our research is coded using
MATLAB.
