Avant Garde Method for Character Recognition for Devanagari Script Using Hidden Markov Model and Neural Network

Devanagari script is a two dimensional composition of symbols. It is highly cumbersome to treat each composite character as a separate atomic symbol because such combinations are very large in number. The aim of this paper is to produce a system that classifies a given input as belonging to a certain class rather than to identify them uniquely, as every input pattern. The system performs character recognition by quantification of the character into a mathematical vector entity using the geometrical properties of the character image. The scope of the proposed system is limited to the recognition of a single character. The goal and objective of the proposed software is "Developing a system that helps in recognizing an unknown character presented to it.