Avant Garde method for Character Recognition for Devanagari Script using Hidden Markov Model and Neural Network
Published: 2013
Author(s) Name: Dhara Gupta, Udayan Ghosh |
Author(s) Affiliation: Dhara is Assistant Prof., VIET, GB Nagar, U. P., India; Udayan is Associate Prof. at GGSIPU, N.Delhi
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Abstract
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.
Keywords: Devanagari handwritten character, script, text recognition, hidden markov model
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