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Offline Handwriting Recognition System Using Convolutional Network

Author

Listed:
  • Aathira Manoj
  • Priyanka Borate
  • Pankaj Jain
  • Vidya Sanas
  • Rupali Pashte

Abstract

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.

Suggested Citation

  • Aathira Manoj & Priyanka Borate & Pankaj Jain & Vidya Sanas & Rupali Pashte, 2016. "Offline Handwriting Recognition System Using Convolutional Network," International Journal of Scientific Research in Science, Engineering and Technology, International Journal of Scientific Research in Science, Engineering and Technology, vol. 2(2), pages 869-872, December.
    • Handle: RePEc:ijs:ijsrse:v2:y2016:i2:id:hijsrset1622309
    Note: Article URL: https://ijsrset.com/IJSRSET1622309
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