%0 Journal Article
	%A Azah Kamilah Muda and  Siti Mariyam Shamsuddin and  Maslina Darus
	%D 2008
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 16, 2008
	%T Bio-Inspired Generalized Global Shape Approach for Writer Identification
	%U https://publications.waset.org/pdf/14053
	%V 16
	%X Writer identification is one of the areas in pattern
recognition that attract many researchers to work in, particularly in
forensic and biometric application, where the writing style can be
used as biometric features for authenticating an identity. The
challenging task in writer identification is the extraction of unique
features, in which the individualistic of such handwriting styles
can be adopted into bio-inspired generalized global shape for
writer identification. In this paper, the feasibility of generalized
global shape concept of complimentary binding in Artificial
Immune System (AIS) for writer identification is explored. An
experiment based on the proposed framework has been conducted
to proof the validity and feasibility of the proposed approach for
off-line writer identification.
	%P 1090 - 1094