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.
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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|Item Type:||Conference Paper|
|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:||26 Mar 2013 09:18|
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