Results of Applying Probabilistic IR to OCR Text.
Kazem Taghva, Julie Borsack, Allen Condit:
Results of Applying Probabilistic IR to OCR Text.
SIGIR 1994: 202-211@inproceedings{DBLP:conf/sigir/TaghvaBC94,
author = {Kazem Taghva and
Julie Borsack and
Allen Condit},
editor = {W. Bruce Croft and
C. J. van Rijsbergen},
title = {Results of Applying Probabilistic IR to OCR Text},
booktitle = {Proceedings of the 17th Annual International ACM-SIGIR Conference
on Research and Development in Information Retrieval. Dublin,
Ireland, 3-6 July 1994 (Special Issue of the SIGIR Forum)},
publisher = {ACM/Springer},
year = {1994},
isbn = {3-540-19889-X},
pages = {202-211},
ee = {db/conf/sigir/TaghvaBC94.html},
crossref = {DBLP:conf/sigir/94},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
Abstract
Character accuracy of optically recognized text is considered a basic measure for evaluating OCR devices.
In the broader sense, another fundamental measure of an OCR's goodness is whether its generated text is usable for retrieving information.
In this study, we evaluate retrieval effectiveness from OCR text databases using aprobabilistic IR system.
We compare these retrieval results to their manually corrected equivalent.
We show there is no statistical difference in precision and recall using graded accuracy levels from three OCR devices.
However, characteristics of the OCR data have side effects that could cause unstable results with this IR model.
In particular, we found individual queries can be greatly affected.
Knowing the qualities of OCR text, we compensate for them by applying an automatic post-processing system that improves effectiveness.
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BibTeX
Printed Edition
W. Bruce Croft, C. J. van Rijsbergen (Eds.):
Proceedings of the 17th Annual International ACM-SIGIR Conference on Research and Development in Information Retrieval. Dublin, Ireland, 3-6 July 1994 (Special Issue of the SIGIR Forum).
ACM/Springer 1994, ISBN 3-540-19889-X
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