Handwriting generation using recurrent neural networks (LSTM)

Rabpreet Singh Keer

LSTM, Handwriting generation, Intelligent Word Recognition, Data Science

Handwriting is a skill developed by humans from a very early stage in order to represent his/her thoughts visually using letters and making meaningful words and sentences. Every person improves this skill by practicing and developing his/her own style of writing. Because of the distinctiveness of handwriting style, it is frequently used as a measure to identify a forgery. Even though the applications of synthesizing handwriting is less, this problem can be generalized and can be functionally applied to other more practical problems. Mimicking or imitating a specific handwriting style can have an extensive variety of applications like generating personalized handwritten documents, editing a handwritten document by using the similar handwriting style and also it is extended to compare handwriting styles to identify a forgery. All the training and test data is taken from IAM online handwriting database (IAMOnDB). IAM-OnDB consists of handwritten lines of data gathered from 223 various writers using an e-smart whiteboard.

Published Paper   E-Certificate

"Handwriting generation using recurrent neural networks (LSTM)", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 9, page no.1085 - 1109, September-2023, Available :https://ijsdr.org/papers/IJSDR2309156.pdf

Volume 8 Issue 9, September-2023

Pages : 1085 - 1109

Paper Reg. ID: IJSDR_208725

Published Paper Id: IJSDR2309156

Downloads: 000347070

Research Area: Engineering

Country: New Delhi, Delhi, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2309156

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2309156

DOI: https://doi.org/10.5281/zenodo.10446335

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition