Automatic Coding of Printed Materials

43 Pages Posted: 19 Jul 2007

See all articles by Johann Peter Murmann

Johann Peter Murmann

University of St. Gallen; UNSW Australia Business School - AGSM

Ernst Homburg

University of Maastricht - Department of History

Ruud Geven

affiliation not provided to SSRN

Y Sekou Bermiss

U of North Carolina at Chapel Hill

Alfonzo Forgione

affiliation not provided to SSRN

Date Written: July 19, 2007

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.

Keywords: data collection, automatic coding, research methods

JEL Classification: C80, N80, M10

Suggested Citation

Murmann, Johann Peter and Homburg, Ernst and Geven, Ruud and Bermiss, Yerodin Sekou and Forgione, Alfonzo, Automatic Coding of Printed Materials (July 19, 2007). Available at SSRN: https://ssrn.com/abstract=1001568 or http://dx.doi.org/10.2139/ssrn.1001568

Johann Peter Murmann (Contact Author)

University of St. Gallen ( email )

Dufourstrasse 40a
Institute of Management and Strategy
St.Gallen, 9000
Switzerland
+41 71 224 23 64 (Phone)

HOME PAGE: http://professor-murmann.net

UNSW Australia Business School - AGSM ( email )

UNSW Sydney, NSW 2052
Australia
+61-2-9385-9733 (Phone)

HOME PAGE: http://professor-murmann.net

Ernst Homburg

University of Maastricht - Department of History ( email )

P.O. Box 616
Maastricht, 6200MD
Netherlands

Ruud Geven

affiliation not provided to SSRN ( email )

No Address Available

Yerodin Sekou Bermiss

U of North Carolina at Chapel Hill ( email )

McColl Building
Chapel Hill, NC 27599-3490
United States

Alfonzo Forgione

affiliation not provided to SSRN ( email )

No Address Available

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