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Restoration of deteriorated text sections in ancient document images using a tri-level semi-adaptive thresholding technique

  • Published:2022-02-23 Issue:2 Volume:63 Page:378-398
  • ISSN:0005-1144
  • Container-title:Automatika
  • language:en
  • Short-container-title:Automatika

Author:

Shobha Rani N.1,Bipin Nair B. J.1,Chandrajith M.2,Hemantha Kumar G.3,Fortuny Jaume4

Affiliation:

1. Department of Computer Science, Amrita School of Arts and Sciences, Amrita Vishwa Vidyapeetham, Mysuru-, India

2. Department of Computer Applications, Maharaja Institute of Technology, Mysore, India

3. Department of Studies in Computer Science, University of Mysore, Mysore, India

4. Observatory of Globalization, University of Barcelona, Barcelona, Spain

Publisher

Informa UK Limited

Subject

General Computer Science,Control and Systems Engineering

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. PLM-Res-U-Net: A light weight binarization model for enhancement of multi-textured palm leaf manuscript images;Digital Applications in Archaeology and Cultural Heritage;2024-09

2. Handwritten Text Analysis and Identification using Deep Learning Models;2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC);2024-06-05

3. Ancient Textual Restoration Using Deep Neural Networks;BIO Web of Conferences;2024

4. Reconstruction of Broken Writing Strokes in Greek Papyri;Document Analysis and Recognition – ICDAR 2023 Workshops;2023

5. Blind bleed-through removal in color ancient manuscripts;Multimedia Tools and Applications;2022-09-27
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