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A Study of Different Classifier Combination Approaches for Handwritten Indic Script Recognition
Open AccessArticle

Handwritten Devanagari Character Recognition Using Layer-Wise Training of Deep Convolutional Neural Networks and Adaptive Gradient Methods

1
Department of Computer Science and Engineering, School of Computing & Information Technology, Manipal University Jaipur, Rajasthan 303007, India
2
Department of Information Technology, School of Computing & Information Technology, Manipal University Jaipur, Rajasthan 303007, India
*
Author to whom correspondence should be addressed.
J. Imaging 2018, 4(2), 41; https://doi.org/10.3390/jimaging4020041
Received: 6 December 2017 / Revised: 9 February 2018 / Accepted: 12 February 2018 / Published: 13 February 2018
(This article belongs to the Special Issue Document Image Processing)
Handwritten character recognition is currently getting the attention of researchers because of possible applications in assisting technology for blind and visually impaired users, human–robot interaction, automatic data entry for business documents, etc. In this work, we propose a technique to recognize handwritten Devanagari characters using deep convolutional neural networks (DCNN) which are one of the recent techniques adopted from the deep learning community. We experimented the ISIDCHAR database provided by (Information Sharing Index) ISI, Kolkata and V2DMDCHAR database with six different architectures of DCNN to evaluate the performance and also investigate the use of six recently developed adaptive gradient methods. A layer-wise technique of DCNN has been employed that helped to achieve the highest recognition accuracy and also get a faster convergence rate. The results of layer-wise-trained DCNN are favorable in comparison with those achieved by a shallow technique of handcrafted features and standard DCNN. View Full-Text
Keywords: handwritten character recognition; deep learning; Devanagari characters; convolutional neural network; adaptive gradient methods handwritten character recognition; deep learning; Devanagari characters; convolutional neural network; adaptive gradient methods
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Jangid, M.; Srivastava, S. Handwritten Devanagari Character Recognition Using Layer-Wise Training of Deep Convolutional Neural Networks and Adaptive Gradient Methods. J. Imaging 2018, 4, 41.

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