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Preprocessing Challenges in Document Image Analysis

Published on May 2012 by Keshao D. Kalaskar, Mahendra P. Dhore
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National Conference on Recent Trends in Computing
Foundation of Computer Science USA
NCRTC - Number 9
May 2012
Authors: Keshao D. Kalaskar, Mahendra P. Dhore
9ad8a3f3-bebc-4aed-8459-c576f7652975

Keshao D. Kalaskar, Mahendra P. Dhore . Preprocessing Challenges in Document Image Analysis. National Conference on Recent Trends in Computing. NCRTC, 9 (May 2012), 25-30.

@article{
author = { Keshao D. Kalaskar, Mahendra P. Dhore },
title = { Preprocessing Challenges in Document Image Analysis },
journal = { National Conference on Recent Trends in Computing },
issue_date = { May 2012 },
volume = { NCRTC },
number = { 9 },
month = { May },
year = { 2012 },
issn = 0975-8887,
pages = { 25-30 },
numpages = 6,
url = { /proceedings/ncrtc/number9/6586-1076/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Recent Trends in Computing
%A Keshao D. Kalaskar
%A Mahendra P. Dhore
%T Preprocessing Challenges in Document Image Analysis
%J National Conference on Recent Trends in Computing
%@ 0975-8887
%V NCRTC
%N 9
%P 25-30
%D 2012
%I International Journal of Computer Applications
Abstract

Document Image Analysis (DIA) is the subfield of digital image processing that aims at converting document images to symbolic form for modification, storages, retrieval, reuse and transmission. It helps the transition from bookshelves and filing cabinets to the paperless and perhaps even wireless world. Preprocessing is the first stage in document image analysis. In Document Image Analysis, Preprocessing activity involves Representation, Noise reduction, Binarization, Skew estimation/detection, Zoning, Character segmentation. This paper focuses on the major challenges that are to be faced in preprocessing of document images for document image analysis.

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Index Terms

Computer Science
Information Sciences

Keywords

Document Image Analysis Information Retrieval Binarization Skew Detection Character Segmentation