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Second International Conference on Document Image Analysis for Libraries (DIAL'06)
OCR Voting Methods for Recognizing Low Contrast Printed Documents
Lyon, France
April 27-April 28
ISBN: 0-7695-2531-8
ASCII Text
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Istvan Marosi, Laszlo Toth, "OCR Voting Methods for Recognizing Low Contrast Printed Documents," Document Image Analysis for Libraries, International Workshop on, pp. 108-115, Second International Conference on Document Image Analysis for Libraries (DIAL'06), 2006.
 
 
BibTex
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@article{ 10.1109/DIAL.2006.28,
author = {Istvan Marosi and Laszlo Toth},
title = {OCR Voting Methods for Recognizing Low Contrast Printed Documents},
journal ={Document Image Analysis for Libraries, International Workshop on},
volume = {0},
year = {2006},
isbn = {0-7695-2531-8},
pages = {108-115},
doi = {http://doi.ieeecomputersociety.org/10.1109/DIAL.2006.28},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Document Image Analysis for Libraries, International Workshop on
TI - OCR Voting Methods for Recognizing Low Contrast Printed Documents
SN - 0-7695-2531-8
SP108
EP115
A1 - Istvan Marosi,
A1 - Laszlo Toth,
PY - 2006
KW - null
VL - 0
JA - Document Image Analysis for Libraries, International Workshop on
ER -
 
Istvan Marosi, Scansoft-Recognita, Inc.
Laszlo Toth, Scansoft-Recognita, Inc.
Modern adaptive thresholding algorithms do their best to provide good quality binarized images. Unfortunately, it's hard to find a good compromise between the amount of background noise in the binary result and the amount of breaks or missing parts in the shape of characters if the original grey image has low contrast.In this paper we describe some voting methods starting from an external, "black box" voter, to a more deeply integrated "shape" voter that can be used to generate even better recognition results by running a voting OCR engine on two, differently thresholded, images.
Citation:
Istvan Marosi, Laszlo Toth, "OCR Voting Methods for Recognizing Low Contrast Printed Documents," dial, pp.108-115, Second International Conference on Document Image Analysis for Libraries (DIAL'06), 2006
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