Fuzzy Recognition of Offline Handwritten Numeric Characters

Author

Batuwita, K.B.M.R. ; Bandara, G.E.M.D.C.

Author_Institution

Dept. of Stat. & Comput. Sci., Peradeniya Univ.

fYear

2006

fDate

7-9 June 2006

Firstpage

1

Lastpage

5

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

Keywords

fuzzy logic; fuzzy set theory; handwritten character recognition; optical character recognition; digital image; fuzzy logic; fuzzy recognition; fuzzy system; handwritten pattern; offline handwritten numeric character recognition; online adaptable fuzzy method; optical character recognition; Character recognition; Digital images; Fuzzy logic; Fuzzy systems; Handwriting recognition; Hidden Markov models; Image recognition; Pattern recognition; Statistical analysis; Statistics; OCR; fuzzy systems; handwritten character recognition; numaral recognition; online adaptability;

fLanguage

English

Publisher

ieee

Conference_Titel

Cybernetics and Intelligent Systems, 2006 IEEE Conference on

Conference_Location

Bangkok

Print_ISBN

1-4244-0023-6

Type

conf

DOI

10.1109/ICCIS.2006.252356

Filename

4017915