Gaussian filter and fuzzy filter based historical document with geodesic morphology

Rinku Kalotra; Kaushal Kumar

doi:10.30574/gjeta.2024.19.1.0063

Research & review articles are invited for publication in September 2026 (Vol. 28, Issue 3) || Submission: up to 28^th September || Editorial decision: within 48 hrs.

Gaussian filter and fuzzy filter based historical document with geodesic morphology

Rinku Kalotra ^* and Kaushal Kumar

Department of Computer, Applications, Global Group of Institutes, Punjab Technical University, India.

Research Article

Global Journal of Engineering and Technology Advances, 2024, 19(01), 143–147.

Article DOI: 10.30574/gjeta.2024.19.1.0063

DOI url: https://doi.org/10.30574/gjeta.2024.19.1.0063

Publication history

Received on 29 February 2024; revised on 08 April 2024; accepted on 11 April 2024

Abstract

The technique of image restoration involves recovering an image from a damaged state, typically a distorted and noisy image. In image processing image restoration is a core issues. This paper based on historical documents and these are discovered by archaeologist. Important information about the tradition, religion science, literature. In this Paper, we will use the geodesic morphological model with the fuzzy filter for the purpose of historical document restoration and compare them on the basis of various performance parameters.

Keywords

Historical documents; Restoration; Geodesic morphological; Gussian Filter; Fuzzy Filter

Download Article PDF

https://gjeta.com/sites/default/files/fulltext_pdf/GJETA-2024-0063.pdf

Preview Article PDF

How to cite this article

Rinku Kalotra and Kaushal Kumar. Gaussian filter and fuzzy filter based historical document with geodesic morphology. Global Journal of Engineering and Technology Advances, 2024, 19(1), 143-147. Article DOI: https://doi.org/10.30574/gjeta.2024.19.1.0063

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.

All statements, opinions, and data contained in this publication are solely those of the individual author(s) and contributor(s). The journal, editors, reviewers, and publisher disclaim any responsibility or liability for the content, including accuracy, completeness, or any consequences arising from its use.