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Eighth International Conference on Document Analysis and Recognition (ICDAR'05)
Adaptive OCR with Limited User Feedback
Seoul, Korea
August 31-September 01
ISBN: 0-7695-2420-6
ASCII Text
x 
 
Huanfeng Ma, David Doermann, "Adaptive OCR with Limited User Feedback," Document Analysis and Recognition, International Conference on, pp. 814-818, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005.
 
 
BibTex
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@article{ 10.1109/ICDAR.2005.43,
author = {Huanfeng Ma and David Doermann},
title = {Adaptive OCR with Limited User Feedback},
journal ={Document Analysis and Recognition, International Conference on},
volume = {0},
year = {2005},
issn = {1520-5263},
pages = {814-818},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2005.43},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Document Analysis and Recognition, International Conference on
TI - Adaptive OCR with Limited User Feedback
SN - 1520-5263
SP814
EP818
A1 - Huanfeng Ma,
A1 - David Doermann,
PY - 2005
KW - null
VL - 0
JA - Document Analysis and Recognition, International Conference on
ER -
 
Huanfeng Ma, University of Maryland, College Park, MD, USA
David Doermann, University of Maryland, College Park, MD, USA
A methodology is proposed for processing noisy printed documents with limited user feedback. Without the support of ground truth, a specific collection of scanned documents can be processed to extract character templates. The adaptiveness of this approach lies in that the extracted templates are used to train an OCR classifier quickly and with limited user feedback. Experimental results show that this approach is extremely useful for the processing of noisy documents with many touching characters.
Citation:
Huanfeng Ma, David Doermann, "Adaptive OCR with Limited User Feedback," icdar, pp.814-818, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005
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