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Bengali handwritten character recognition using modified syntactic method

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.

Abstract

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.

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ID Code: 33182
Item Type: Conference Paper
Additional URLs:
Keywords: Syntactic method, curve fitting, thinning algorithm, curvature analysis, regression analysis, Bangla, Handwritten Character, Pattern Recognition
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > COMPUTATION THEORY AND MATHEMATICS (080200)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > COMPUTER SOFTWARE (080300)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2005 Independent University, Bangladesh
Deposited On: 20 Jul 2010 07:44
Last Modified: 29 Aug 2013 08:08

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