Approach using CNN for Recognition of Devanagari Handwritten Content

Authors

  • Subhash Rathod Associate Professor, Marathwada Mitra Mandal’s Institute of Technology, Pune
  • Mangesh D. Salunke Associate Professor, Marathwada Mitra Mandal’s Institute of Technology, Pune
  • Manisha Bhende Professor, Dr. D.Y. Patil Vidyapeeth, Pune, Dr. D.Y. Patil School of Science & Technology, Tathwade, Pune
  • Meghna Yashwante Associate Professor, Marathwada Mitra Mandal’s Institute of Technology, Pune
  • Uma B. Karanje Assistant Professor,Marathwada Mitra Mandal’s Institute of Technology, Pune
  • Yogesh B. Dongare Marathwada Mitra Mandal’s Institute of Technology, Pune
  • Vaibhav D. Rewaskar Assistant Professor, Marathwada Mitra Mandal’s Institute of Technology, Pune

Keywords:

Devanagari, Handwritten text recognition, CNN, Deep learning, Image recognition

Abstract

This document discusses the use of Convolutional Neural Networks (CNN) for Devanagari Handwritten Text Recognition (DHTR) tasks. DHTR is a complex task due to the variability and diversity of handwritten characters in the Devanagari script. CNNs are a type of deep learning algorithm that can automatically learn features from images and are widely used in image recognition tasks. This paper presents a CNN-based approach for DHTR the proposed method has shown out performed on a popular dataset commonly used for evaluating image recognition systems. The proposed approach involves a preprocessing step to normalize and segment the input images, followed by a CNN architecture that consists of several convolutional layers and fully connected layers. The network is trained using a large dataset of labeled Devanagari characters. The results show that the proposed approach achieves high accuracy in recognizing Devanagari characters, and can be applied to real-world applications such as document digitization and text-to-speech conversion.

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Published

16.07.2023

How to Cite

Rathod, S. ., Salunke, M. D. ., Bhende, M. ., Yashwante, M. ., Karanje, U. B. ., Dongare, Y. B. ., & Rewaskar, V. D. . (2023). Approach using CNN for Recognition of Devanagari Handwritten Content. International Journal of Intelligent Systems and Applications in Engineering, 11(3), 998–1004. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3354

Issue

Vol. 11 No. 3 (2023)

Section

Research Article

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