Bengali handwritten character recognition using modified syntactic method


Autoria(s): Islam, Mohammad Badiul; Azadi, Mollah Masum Billah; Rahman, Md. Abdur; Hashem, M. M. A.
Data(s)

18/02/2005

Resumo

Several approaches have been proposed to recognize handwritten Bengali characters using different curve fitting algorithms and curvature analysis. In this paper, a new algorithm (Curve-fitting Algorithm) to identify various strokes of a handwritten character is developed. The curve-fitting algorithm helps recognizing various strokes of different patterns (line, quadratic curve) precisely. This reduces the error elimination burden heavily. Implementation of this Modified Syntactic Method demonstrates significant improvement in the recognition of Bengali handwritten characters.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/33182/

Publicador

Independent University, Bangladesh

Relação

http://eprints.qut.edu.au/33182/1/33182.pdf

Islam, Mohammad Badiul, Azadi, Mollah Masum Billah, Rahman, Md. Abdur, & Hashem, M. M. A. (2005) Bengali handwritten character recognition using modified syntactic method. In Proceedings of 2nd National Conference on Computer Processing of Bangla (NCCPB-2005), Independent University, Bangladesh, Dhaka, Bangladesh.

Direitos

Copyright 2005 Independent University, Bangladesh

Fonte

Faculty of Science and Technology

Palavras-Chave #080100 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING #080200 COMPUTATION THEORY AND MATHEMATICS #080300 COMPUTER SOFTWARE #Syntactic method #curve fitting #thinning algorithm #curvature analysis #regression analysis #Bangla #Handwritten Character #Pattern Recognition
Tipo

Conference Paper