Fuzzy Recognition of Offline Handwritten Numeric Characters
Batuwita, K.B.M.R.
Bandara, G.E.M.D.C.
Dept. of Stat. & Comput. Sci., Peradeniya Univ.;
This paper appears in: Cybernetics and Intelligent Systems, 2006 IEEE Conference on
Publication Date: 7-9 June 2006
On page(s): 1-5
Location: Bangkok,
ISBN: 1-4244-0023-6
INSPEC Accession Number: 9220970
Digital Object Identifier: 10.1109/ICCIS.2006.252356
Current Version Published: 2006-12-04
Abstract
Offline handwritten character recognition involves the recognition of handwritten character patterns in digital images. This is a challenging computational problem mainly due to the vast differences associated with the handwritten patterns of different individuals. Fuzzy logic plays a major role in both offline and online handwritten character recognition, since a fuzzy system with an automatically generated rule base possesses the features of flexibility, efficiency and online adaptability. This paper presents an online adaptable fuzzy method for offline handwritten numeric character recognition
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