Automatic Coding of Printed Materials
Journal
International Journal of Humanities and Arts Computing
Type
journal article
Date Issued
2008-08-15
Author(s)
Abstract
The paper presents a complete method for using automatic techniques to code printed text pages. It involves three automatic steps and one or two steps of manual corrections to obtain fully accurate results. We discovered that present-day consumer digital cameras are much better than high-end scanners to obtain pictures of printed pages quickly and without the wear and tear associated with scanners. We also found that high-end ($370) OCR software is much more cost-effective to achieve accurate text recognition and to process large amounts of data. We also describe how researchers can write a computer program for classifying automatically non-uniform data. We provide detailed instructions for each step in the automatic coding method so that other researchers can readily copy it.
Language
English
HSG Classification
contribution to scientific community
Refereed
Yes
Publisher
Edinburgh University Press
Publisher place
Edinburgh
Volume
1
Number
2
Start page
151
End page
185
Pages
34
Subject(s)
Division(s)
Contact Email Address
peter.murmann@unisg.ch
Eprints ID
255381
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Name
murmann_2007.pdf
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2.98 MB
Format
Adobe PDF
Checksum (MD5)
1c89705bd38534bb093bfe672fd1cd6f
open.access
Name
murmann_2007.pdf
Size
2.98 MB
Format
Adobe PDF
Checksum (MD5)
1c89705bd38534bb093bfe672fd1cd6f