In this paper, we present the implementation of Devanagari handwritten character recognition using deep learning.
Hand written character recognition gaining more importance due to its major contribution in automation system. Devanagari
script is one of various languages script in India. It consists of 12 vowels and 36 consonants. Here we implemented the deep
learning model to recognize the characters. The character recognition mainly five steps: pre-processing, segmentation, feature
extraction, prediction, post-processing. The model will use convolutional neural network to train the model and image
processing techniques to use the character recognition and predict the accuracy of rcognition.
