Open AccessDevanagari Handwritten Character Recognition Using Deep Learning
Author(s) -
K. Padmaja
Publication year - 2022
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2022.39744
Subject(s) - devanagari , computer science , artificial intelligence , convolutional neural network , character (mathematics) , neocognitron , deep learning , feature (linguistics) , speech recognition , pattern recognition (psychology) , artificial neural network , intelligent word recognition , intelligent character recognition , segmentation , feature extraction , character recognition , natural language processing , time delay neural network , image (mathematics) , linguistics , mathematics , philosophy , geometry
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. Keywords: convolutional neural network, character recognition, Devanagari script, deep learning.