CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Content Retrieval from Historical Manuscript Images: A Review

Published on August 2015 by Kitty Gupta, Rishav Dewan
journal_cover_thumbnail

International Conference on Advancements in Engineering and Technology
Foundation of Computer Science USA
ICAET2015 - Number 1
August 2015
Authors: Kitty Gupta, Rishav Dewan
39ea184e-10fd-4fea-86ba-0560d39c05c5

Kitty Gupta, Rishav Dewan . Content Retrieval from Historical Manuscript Images: A Review. International Conference on Advancements in Engineering and Technology. ICAET2015, 1 (August 2015), 10-13.

@article{
author = { Kitty Gupta, Rishav Dewan },
title = { Content Retrieval from Historical Manuscript Images: A Review },
journal = { International Conference on Advancements in Engineering and Technology },
issue_date = { August 2015 },
volume = { ICAET2015 },
number = { 1 },
month = { August },
year = { 2015 },
issn = 0975-8887,
pages = { 10-13 },
numpages = 4,
url = { /proceedings/icaet2015/number1/22204-4003/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advancements in Engineering and Technology
%A Kitty Gupta
%A Rishav Dewan
%T Content Retrieval from Historical Manuscript Images: A Review
%J International Conference on Advancements in Engineering and Technology
%@ 0975-8887
%V ICAET2015
%N 1
%P 10-13
%D 2015
%I International Journal of Computer Applications
Abstract

Ancient documents play an important role in history. Various information regarding the literature, tradition and culture is kept in these documents. These heaps of documents are degraded because of some climatic circumstances, low quality and inappropriate holding. This paper reviews on the techniques used to retrieve the necessary content from these ancient documents. The techniques include preprocessing, image binarization, thresholding methods and post processing methods. Further, during scanning the document it can get corrupted with some unwanted lines or signals termed as noise that should be eliminated.

References
  1. B. Gangamma, Srikanta Murthy K, Arun Vikas Singh, "Restoration of Degraded Historical Document Image", Journal of Emerging Trends in Computing and Information Science, Vol. 3, Issue 5, May 2012.
  2. Bolan Su, Shijian Lu, Chew Lim Tan, "Robust Document Image Binarization Technique for Degraded Document Images", IEEE Transactions on Image Processing, Vol. 22, Issue 4, April 2013.
  3. C. Patvardhan, A. K. Verma, C. V. Lakshmi, "Denoising of Document images using Discrete Curvelet Transform for OCR Applications", International Journal of Computer Applications(0975-8887), Vol. 55, Issue 55, October 2012.
  4. Haneen Khadar, Abeer Al-Marridi, "An Interactive Annotation tool for Indexing Historical Manuscripts", IEEE transactions on image processing, 2014.
  5. Hossein Ziaei Nafchi, Reza Farrahi Moghaddam, "Application of Phase –Based Features and Denoising in post processing and binarization of Historical Document Images", IEEE 12th International Conference on Document Analysis and Recognition", pp. 220-224, 2013.
  6. Hossein Ziaei Nafchi, Reza Farrahi Moghaddam, "Phase Based Binarization of Ancient Document Images: Model and Applications", IEEE Transactions on Image Processing, Vol. 23, Issue 7, July 2014.
  7. Iqbal Quraishi, Mallika De, "A Novel Hybrid Approach to Restore Historical Degraded Documents", IEEE International Conference on Intelligent Systems and Signal Processing (ISSP), 2013.
  8. Jagroop Kaur, Rajiv Mahajan, "Improved Degraded Document Image Binarization using Guided image filter", International journal of Advance research in Computer Science and Software Engineering, Vol. 4, Issue 9, September 2014.
  9. Konstantinos Ntriogiannis, Basilis Gatos, Ioannis Pratikakis, "Performance Evolution Methodology for Historical Image Binarization", IEEE Transactions on Image Processing, Vol. 22, Issue 2, February 2013.
  10. Manish Yadav, Swati Yadav, Dilip Sharma. "Image Denoising Using Orthonormal Wavelet Transform with Stein Unbiased Risk Estimator", IEEE student's Conference on Electrical, Electronics and Computer Science 2014.
  11. . Shazia Akram, Mehraj-Ud-Din Dar, Aasia Quyoum, "Document Image Processing- A Review", International Journal of Computer Applications (0975-8887), Vol. 10, Issue 5, November 2010.
  12. S. Tamilselvan, S. G. Sowmya, "Content Retrieval from Degrade Document Images using Binarization Technique", IEEE International Conference on Computation of Power, Energy, Information and Communication(ICCPEIC), pp. 422-426, 2014.
Index Terms

Computer Science
Information Sciences

Keywords

Degraded Document Image Preprocessing Thresholding Post Processing.