%0 Journal Article
	%A Ibrahim A. El rube and  Mohamed T. El Sonni and  Soha S. Saleh
	%D 2010
	%J International Journal of Electrical and Computer Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 42, 2010
	%T Printed Arabic Sub-Word Recognition Using Moments
	%U https://publications.waset.org/pdf/6817
	%V 42
	%X the cursive nature of the Arabic writing makes it
difficult to accurately segment characters or even deal with the whole
word efficiently. Therefore, in this paper, a printed Arabic sub-word
recognition system is proposed. The suggested algorithm utilizes
geometrical moments as descriptors for the separated sub-words.
Three types of moments are investigated and applied to the printed
sub-word images after dividing each image into multiple parts using
windowing. Since moments are global descriptors, the windowing
mechanism allows the moments to be applied to local regions of the
sub-word. The local-global mixture of the proposed scheme increases
the discrimination power of the moments while keeping the
simplicity and ease of use of moments.
	%P 959 - 963