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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Volume 9 | Issue 5

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Paper Title:	Handwriting generation using recurrent neural networks (LSTM)
Authors Name:	Rabpreet Singh Keer
Unique Id:	IJSDR2309156
Published In:	Volume 8 Issue 9, September-2023
Abstract:	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.
Keywords:	LSTM, Handwriting generation, Intelligent Word Recognition, Data Science
Cite Article:	"Handwriting generation using recurrent neural networks (LSTM)", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 9, page no.1085 - 1109, September-2023, Available :http://www.ijsdr.org/papers/IJSDR2309156.pdf
Downloads:	000338719
Publication Details:	Published Paper ID: IJSDR2309156 Registration ID:208725 Published In: Volume 8 Issue 9, September-2023 DOI (Digital Object Identifier): https://doi.org/10.5281/zenodo.10446335 Page No: 1085 - 1109 Publisher: IJSDR \| www.ijsdr.org ISSN Number: 2455-2631

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