Rank based 2-D shape classification

Authors:
P. Ahmed;Yousef Al-Ohali
Affiliations:
Department of Computer Science, King Saud University, Riyadh, Saudi Arabia;Department of Computer Science, King Saud University, Riyadh, Saudi Arabia
Venue:
ICCOMP'09 Proceedings of the WSEAES 13th international conference on Computers
Year:
2009

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Abstract

In this research, recognition accuracy of a rank based shape classification method is measured in recognizing the totally unconstrained handwritten digits. Experimental results on real-life sample data that was collected from postal zip codes written by mail writers show that the suggested classification scheme correctly classifies 98.5% training data and 98.3% the test data.