Offline segmentation and script recognition of Hindi using knowledge based approach and multi layered perceptron neural network

Abstract

The following paper focusses on a segmentation technique for most widely used language in India i.e. Hindi. Because of variations in writing styles and intricate structures, this field is drawing a lot of attention from researchers. This paper proposes a system which mines and identifies offline Hindi words using MLP Neural Network. Here we are using three layer architecture of neural networks that consists of a layer for Input, Hidden layer and a Resultant layer. Also segmentation is done using Knowledge Based Approach. The success rate after segmentation is 94.87%. Also the overall recognition accuracy is 85.78%.

Keywords:

• Hindi Script
• Knowledge Based Approach
• Multi-Layered Perceptron Neural Network

Mathematics Subject Classification 2010:

• 68T10