Handwritting Text Recognition

K. Salma Khatoon, M. Sameera, K. Jeevana Priya, G. Anuradha, K. Mamatha, B. Jayasree

2025

Abstract

The newest automation tools, apps, and platforms now available for information storage and shifting have made it possible for each individual to conduct business in a more efficient manner as well as for leisure activities. While it has been predominantly moved to digital systems, the need to change paper documents into shareable and preservable digital file formats remains. One of the most important technologies today is the capability of accurately identifying a handwritten document's text; the challenge lies in the fact that every person's handwriting is different. This becomes very hard esp. in terms of scanned handwritten documents for the simple reason that it is very time consuming to convert handwritten pages–especially those with mixed in different styles of writing–into digitized text. Our project attempts to develop a solution that can do this. This will allow users from all over the globe to convert their handwritten documents, in any language, into digital text all they have to do is upload the images and our software will generate the appropriate text output.

Paper Citation

in Harvard Style

Khatoon K., Sameera M., Priya K., Anuradha G., Mamatha K. and Jayasree B. (2025). Handwritting Text Recognition. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 204-208. DOI: 10.5220/0013895400004919

in Bibtex Style

@conference{icrdicct`2525,
author={K. Khatoon and M. Sameera and K. Priya and G. Anuradha and K. Mamatha and B. Jayasree},
title={Handwritting Text Recognition},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={204-208},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013895400004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Handwritting Text Recognition
SN - 978-989-758-777-1
AU - Khatoon K.
AU - Sameera M.
AU - Priya K.
AU - Anuradha G.
AU - Mamatha K.
AU - Jayasree B.
PY - 2025
SP - 204
EP - 208
DO - 10.5220/0013895400004919
PB - SciTePress