Abstract
Several approaches have been proposed to recognize handwritten Bengali characters using different curve-fitting algorithms. The syntactic methods that are used to recognize printed Bengali alphabetic characters tend not to be suitable enough to properly distinguish Bengali handwritten characters. The proposed curve-fitting algorithm helps accurately recognize various strokes of different patterns (e.g., line and quadratic curve), thus drastically reducing the error elimination burden. As compared to existing approaches, the proposed modified syntactic method demonstrates significant improvement in recognizing Bengali handwritten characters.
Notice of Violation of IEEE Publication Principles "Modified Syntactic Method to Recognize Bengali Handwritten Characters" by M.A. Rahman and A. El Saddik in the IEEE Transactions on Instrumentation and Measurement, Vol 56, No. 6, December 2007, pp. 2623-2632 After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles. This paper includes substantial copied portions of the work cited below, without attribution (including appropriate references to the original author(s) and/or paper title) and permission. The lead author, M.A. Rahman, was found to be solely responsible for this violation. Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references to this paper should also include a reference to the following article: "Bengali Handwritten Character Recognition Using Modified Syntactic Method" by M.B. Islam, M.M.B. Azadi, M.A. Rahman, and M.M.A. Hashem in the Proceedings of 2nd National Conference on Computer Processing of Bangla, 2005, pp. 264-275