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Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR'04)
Document Retrieval System Tolerant of Segmentation Errors of Document Images
Kokubunji, Tokyo, Japan
October 26-October 29
ISBN: 0-7695-2187-8
ASCII Text
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Takeshi Nagasaki, Toshikazu Takahashi, Katsumi Marukawa, "Document Retrieval System Tolerant of Segmentation Errors of Document Images," Ninth International Workshop on Frontiers in Handwriting Recognition, pp. 280-285, Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR'04), 2004.
 
 
BibTex
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@article{ 10.1109/IWFHR.2004.36,
author = {Takeshi Nagasaki and Toshikazu Takahashi and Katsumi Marukawa},
title = {Document Retrieval System Tolerant of Segmentation Errors of Document Images},
journal ={Ninth International Workshop on Frontiers in Handwriting Recognition},
volume = {0},
year = {2004},
issn = {1550-5235},
pages = {280-285},
doi = {http://doi.ieeecomputersociety.org/10.1109/IWFHR.2004.36},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Ninth International Workshop on Frontiers in Handwriting Recognition
TI - Document Retrieval System Tolerant of Segmentation Errors of Document Images
SN - 1550-5235
SP280
EP285
A1 - Takeshi Nagasaki,
A1 - Toshikazu Takahashi,
A1 - Katsumi Marukawa,
PY - 2004
KW - null
VL - 0
JA - Ninth International Workshop on Frontiers in Handwriting Recognition
ER -
 
Takeshi Nagasaki, Hitachi, Ltd.
Toshikazu Takahashi, Hitachi, Ltd.
Katsumi Marukawa, Hitachi, Ltd.
This paper describes a new document retrieval method that is tolerant of OCR segmentation errors in document images. To overcome the segmentation and recognition errors that most OCR-based retrieval systems suffer from, the proposed method consists of two processing phases. First, the OCR engine first generates multiple character-segmentation and recognition hypotheses. Then the retrieval engine extracts keywords from the recognition hypotheses by using lexicon-driven dynamic programming (DP) matching. We have applied this method to both handwritten and printed document images and have demonstrated its effectiveness in reducing false drops and false alarms.
Citation:
Takeshi Nagasaki, Toshikazu Takahashi, Katsumi Marukawa, "Document Retrieval System Tolerant of Segmentation Errors of Document Images," iwfhr, pp.280-285, Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR'04), 2004
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