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Eighth International Conference on Document Analysis and Recognition (ICDAR'05)
Associating Text and Graphics for Scientific Chart Understanding
Seoul, Korea
August 31-September 01
ISBN: 0-7695-2420-6
ASCII Text
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Weihua Huang, Chew Lim Tan, Wee Kheng Leow, "Associating Text and Graphics for Scientific Chart Understanding," Document Analysis and Recognition, International Conference on, pp. 580-584, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005.
 
 
BibTex
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@article{ 10.1109/ICDAR.2005.54,
author = {Weihua Huang and Chew Lim Tan and Wee Kheng Leow},
title = {Associating Text and Graphics for Scientific Chart Understanding},
journal ={Document Analysis and Recognition, International Conference on},
volume = {0},
year = {2005},
issn = {1520-5263},
pages = {580-584},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDAR.2005.54},
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 - Associating Text and Graphics for Scientific Chart Understanding
SN - 1520-5263
SP580
EP584
A1 - Weihua Huang,
A1 - Chew Lim Tan,
A1 - Wee Kheng Leow,
PY - 2005
KW - null
VL - 0
JA - Document Analysis and Recognition, International Conference on
ER -
 
Weihua Huang, National University of Singapore
Chew Lim Tan, National University of Singapore
Wee Kheng Leow, National University of Singapore
This paper presents our recent work that aims at associating the recognition results of textual and graphical information contained in the scientific chart images. Text components are first located in the input image and then recognized using OCR. On the other hand, the graphical objects are segmented and form high level symbols. Both logical and semantic correspondence between text and graphical symbols are identified. The association of text and graphics allows us to capture the semantic meaning carried by scientific chart images in a more complete way. The result of scientific chart image understanding is presented using XML documents.
Citation:
Weihua Huang, Chew Lim Tan, Wee Kheng Leow, "Associating Text and Graphics for Scientific Chart Understanding," icdar, pp.580-584, Eighth International Conference on Document Analysis and Recognition (ICDAR'05), 2005
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