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Offline Handwriting Recognition System Using Convolutional Network

Authors(5):

Aathira Manoj, Priyanka Borate, Pankaj Jain, Vidya Sanas, Rupali Pashte
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In this paper, we have used Convolutional Neural Network (CNN) for offline handwriting recognition. Our Convolutional Network is based on the LeNet-5 network. We have modified it by changing the number of neurons in each layer. We have also added a dropout layer, which has resulted in slower, but accurate learning from the training set. We have used MNIST database for testing.

Aathira Manoj, Priyanka Borate, Pankaj Jain, Vidya Sanas, Rupali Pashte

Pre-processing, Segmentation, Feature extraction, CNN, LeNet-5.

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Publication Details

Published in : Volume 2 | Issue 2 | March-April - 2016
Date of Publication Print ISSN Online ISSN
2016-04-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
869-872 IJSRSET1622309   Technoscience Academy

Cite This Article

Aathira Manoj, Priyanka Borate, Pankaj Jain, Vidya Sanas, Rupali Pashte, "Offline Handwriting Recognition System Using Convolutional Network", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 2, pp.869-872, March-April-2016.
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