Applied Intelligence and Computing
Unlocking Dev Nagri: OCR with CNN
Authors: Saket Maheshwari, Sayantan Sinha and Sachin Upadhyayv
Publishing Date: 10-11-2024
ISBN: 978-81-955020-9-7
Abstract
In recent years, the field of machine learning has experienced significant advancements, and researchers have conducted extensive studies in various areas. One of the most exciting areas of research is image recognition, which has led to numerous breakthroughs in the field. Our research is focused on the development of a model that can recognize Devanagari characters with remarkable accuracy. Devanagari characters contain a unique set of characters with a rich history, and we chose it specifically for our research because of its importance. To achieve our goal, we utilized a convolutional neural network, a type of deep learning algorithm that is highly effective in image recognition. We trained our model using a vast dataset of Devanagari characters, which enabled it to recognize new characters with significant precision. Our research proposes an optical character recognition technique using a convolutional neural network, which has the potential to revolutionize the field of image recognition. This technique can be applied to other scripts and languages, making it an essential tool for various industries. With the development of our model, we believe we have contributed to the growing body of knowledge in machine learning and image recognition.
Keywords
Convolutional Neural Network, Deep Learning, DevaNagri, Machine Learning, Image Classification.
Cite as
Saket Maheshwari, Sayantan Sinha and Sachin Upadhyayv, "Unlocking Dev Nagri: OCR with CNN", In: Mukesh Saraswat and Rajani Kumari (eds), Applied Intelligence and Computing, SCRS, India, 2024, pp. 157-167. https://doi.org/10.56155/978-81-955020-9-7-17