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Eighth International Conference on Document Analysis and Recognition (ICDAR'05)
Extraction of Specified Objects from Binary Images Using Object Based Erosion Transform: Application to Hebrew Calligraphic Manuscripts
Seoul, Korea
August 31-September 01
ISBN: 0-7695-2420-6
ASCII Text
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Itay Bar-Yosef, Isaac Beckman, Klara Kedem, Itshak Dinstein, "Extraction of Specified Objects from Binary Images Using Object Based Erosion Transform: Application to Hebrew Calligraphic Manuscripts," Document Analysis and Recognition, International Conference on, pp. 878-882, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005.
 
 
BibTex
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@article{ 10.1109/ICDAR.2005.108,
author = {Itay Bar-Yosef and Isaac Beckman and Klara Kedem and Itshak Dinstein},
title = {Extraction of Specified Objects from Binary Images Using Object Based Erosion Transform: Application to Hebrew Calligraphic Manuscripts},
journal ={Document Analysis and Recognition, International Conference on},
volume = {0},
year = {2005},
issn = {1520-5263},
pages = {878-882},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2005.108},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Document Analysis and Recognition, International Conference on
TI - Extraction of Specified Objects from Binary Images Using Object Based Erosion Transform: Application to Hebrew Calligraphic Manuscripts
SN - 1520-5263
SP878
EP882
A1 - Itay Bar-Yosef,
A1 - Isaac Beckman,
A1 - Klara Kedem,
A1 - Itshak Dinstein,
PY - 2005
KW - null
VL - 0
JA - Document Analysis and Recognition, International Conference on
ER -
 
Itay Bar-Yosef, Ben-Gurion University
Isaac Beckman, Ben-Gurion University
Klara Kedem, Ben-Gurion University
Itshak Dinstein, Ben-Gurion University
This paper presents a method for automatic extraction of certain pre-specified objects from binary images. The method is applied to letters from historic Hebrew manuscripts and is based on object based erosion transform. The extraction method deals very well with common problems of historical documents, such as broken or merged characters, and can be applied to different writing styles. An average correct extraction rate of 96% is achieved.
Citation:
Itay Bar-Yosef, Isaac Beckman, Klara Kedem, Itshak Dinstein, "Extraction of Specified Objects from Binary Images Using Object Based Erosion Transform: Application to Hebrew Calligraphic Manuscripts," icdar, pp.878-882, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005
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