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Application of Deep-Learning Neural Network for the recognition of Devanagari characters

Pratibha Singh, Ajay Verma, Narendra S. Chaudhari


This paper aims to provide an experimental framework for the recognition of Devanagari characters/numerals using various deep-learning tools. The main advantage of deep learning is that it makes maximal use of unsupervised learning. The implemented architectures are based on Neural network. The method makes use of deep learning algorithms inspired from human vision system. The method requires little or no preprocessing and uses the direct pixel intensities as feature rather than especially designed/crafted features. The performance is comparable or sometimes better than previously reported results on the dataset of Devanagari character/numerals.


Multilayer Perceptron(MLP), Neural Network(NN), Stacked Denoising Autoencoder(SDAE), Deep Belief Network(DBN), Convolutional Neural Network(CNN).

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