Performance Optimization and Comparative Analysis of Neural Networks for Handwritten Devanagari Character Recognition
Product Description
Performance Optimization and Comparative Analysis
of Neural Networks for Handwritten Devanagari
Character Recognition
Abstract— Devanagari script has character set with rich structural features that makes the recognition of unconstrained handwritten Devanagari characters difficult However, these features can be used to divide the characters into different categories. This paper presents few techniques for optimizing the recognition accuracy at pre-classification stage, feature extraction stage and recognition stage. Initially, the reclassification of the characters is done into different classes using various structural features. Then features are extracted using
optimized feature extraction techniques. Finally, the recognition is done using neural network. In this paper, different neural networks are implemented and their performances are analyzed < final year projects >
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