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Proceedings Paper

Correlating degradation models and image quality metrics
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Paper Abstract

OCR often performs poorly on degraded documents. One approach to improving performance is to determine a good filter to improve the appearance of the document image before sending it to the OCR engine. Quality metrics have been measured in document images to determine what type of filtering would most likely improve the OCR response for that document image. In this paper those same quality metrics are measured for several word images degraded by known parameters in a document degradation model. The correlation between the degradation model parameters and the quality metrics is measured. High correlations do appear in many places that were expected. They are also absent in some expected places and offer a comparison of quality metric definitions proposed by different authors.

Paper Details

Date Published: 28 January 2008
PDF: 8 pages
Proc. SPIE 6815, Document Recognition and Retrieval XV, 681508 (28 January 2008); doi: 10.1117/12.766784
Show Author Affiliations
Darrin K. Reed, Boise State Univ. (United States)
Elisa H. Barney Smith, Boise State Univ. (United States)


Published in SPIE Proceedings Vol. 6815:
Document Recognition and Retrieval XV
Berrin A. Yanikoglu; Kathrin Berkner, Editor(s)

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