IMS Manthan (The Journal of Mgt., Comp. Science & Journalism)

2013 | Volume 8 | Issue Issue 1

Avant Garde method for Character Recognition for Devanagari Script using Hidden Markov Model and Neural Network

1. Dhara Gupta – Dhara is Assistant Prof., VIET, GB Nagar, U. P., India

2. Udayan Ghosh – Udayan is Associate Prof. at GGSIPU, N.Delhi

Received
- 		Accepted
- 		Published
08-Sep-2013
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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