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
Link To Document :
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