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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
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Index Terms

Computer Science
Information Sciences

Keywords

Degraded Document Image Preprocessing Thresholding Post Processing.