DocumentCode
2490705
Title
An Efficient Fuzzy Method for Bangla Handwritten Numerals Recognition
Author
Hoque, Mohammed Moshiul ; Islam, Md Mainul ; Ali, Muhammad Masroor
Author_Institution
Dept. of Comput. Sci. & Eng., Chittagong Univ. of Eng. & Technol.
fYear
2006
fDate
19-21 Dec. 2006
Firstpage
197
Lastpage
200
Abstract
The object of the handwritten character recognition is the recognition of data that describe handwritten objects. On-line handwritten recognition deals with a time ordered sequence of data. This paper presents an on-line handwritten recognition system for recognizing the Bangla numerals using the fuzzy rule-base. Fuzzy logic has proved to be a powerful tool to represent imprecise and irregular patterns. The selection of the representative features, which describe the shapes and location of segments, is the core of the proposed approach. This paper describes a method that can be used to generate a fuzzy value database that describes the characters written by different individuals.
Keywords
feature extraction; fuzzy logic; fuzzy systems; handwritten character recognition; knowledge based systems; natural language processing; Bangla handwritten numeral recognition; fuzzy logic; fuzzy method; fuzzy rule; online handwritten recognition; time ordered data sequence; Character generation; Character recognition; Computer science; Fuzzy logic; Fuzzy systems; Handheld computers; Handwriting recognition; Shape; Spatial databases; Writing;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Computer Engineering, 2006. ICECE '06. International Conference on
Conference_Location
Dhaka
Print_ISBN
98432-3814-1
Type
conf
DOI
10.1109/ICECE.2006.355324
Filename
4178442
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