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Reseach Article

Content Extraction from Ancient Document Image

Published on August 2016 by Sweta P. Bharshankar, D. W. Wajgi
Advanced Computing and Information Technology
Foundation of Computer Science USA
TACIT2016 - Number 1
August 2016
Authors: Sweta P. Bharshankar, D. W. Wajgi

Sweta P. Bharshankar, D. W. Wajgi . Content Extraction from Ancient Document Image. Advanced Computing and Information Technology. TACIT2016, 1 (August 2016), 4-7.

author = { Sweta P. Bharshankar, D. W. Wajgi },
title = { Content Extraction from Ancient Document Image },
journal = { Advanced Computing and Information Technology },
issue_date = { August 2016 },
volume = { TACIT2016 },
number = { 1 },
month = { August },
year = { 2016 },
issn = 0975-8887,
pages = { 4-7 },
numpages = 4,
url = { /proceedings/tacit2016/number1/25828-it34/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Proceeding Article
%1 Advanced Computing and Information Technology
%A Sweta P. Bharshankar
%A D. W. Wajgi
%T Content Extraction from Ancient Document Image
%J Advanced Computing and Information Technology
%@ 0975-8887
%V TACIT2016
%N 1
%P 4-7
%D 2016
%I International Journal of Computer Applications

Content extraction from badly degraded ancient document is very challenging task due to the different causes of degradation. Ancient documents are of great importance to us and accumulate a significant amount of human heritage over times. These ancient documents are in the degraded form containing vital and valuable information but the contents of the document not recognized easily. There are many causes of degradations such as environmental factors improper handling and the poor quality of the materials. In recent period, the rising interest in the historical document image analysis many researchers are attracting towards extraction of contents from historical document and preserve their contents for future generations. Numerous methods exist but they are not suitable for all types of degraded documents. The proposed method is simple, robust and based on the phase binarisation model. The proposed method is divided into Preprocessing, Post processing and extraction. The Preprocessing helps to separate foreground and background. The post processing enhances the document image and Extraction helps to extract the content from the document image.

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Index Terms

Computer Science
Information Sciences


Degradation Phase Binarization Local And Global Thresholding