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Second International Conference on Document Image Analysis for Libraries (DIAL'06)
Performance Evaluation of a Mathematical Formula Recognition System with a large scale of printed formula images
Lyon, France
April 27-April 28
ISBN: 0-7695-2531-8
ASCII Text
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Kazuki Ashida, Masayuki Okamoto, Hiroki Imai, Tsubasa Nakatsuka, "Performance Evaluation of a Mathematical Formula Recognition System with a large scale of printed formula images," Document Image Analysis for Libraries, International Workshop on, pp. 320-331, Second International Conference on Document Image Analysis for Libraries (DIAL'06), 2006.
 
 
BibTex
x
 
@article{ 10.1109/DIAL.2006.30,
author = {Kazuki Ashida and Masayuki Okamoto and Hiroki Imai and Tsubasa Nakatsuka},
title = {Performance Evaluation of a Mathematical Formula Recognition System with a large scale of printed formula images},
journal ={Document Image Analysis for Libraries, International Workshop on},
volume = {0},
year = {2006},
isbn = {0-7695-2531-8},
pages = {320-331},
doi = {http://doi.ieeecomputersociety.org/10.1109/DIAL.2006.30},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Document Image Analysis for Libraries, International Workshop on
TI - Performance Evaluation of a Mathematical Formula Recognition System with a large scale of printed formula images
SN - 0-7695-2531-8
SP320
EP331
A1 - Kazuki Ashida,
A1 - Masayuki Okamoto,
A1 - Hiroki Imai,
A1 - Tsubasa Nakatsuka,
PY - 2006
KW - null
VL - 0
JA - Document Image Analysis for Libraries, International Workshop on
ER -
 
Kazuki Ashida, Shinshu University, Matsumoto, Japan
Masayuki Okamoto, Shinshu University, Nagano, Japan
Hiroki Imai, Seiko Epson Corporation
Tsubasa Nakatsuka, Seiko Epson Corporation
This paper shows the performance evaluation of the mathematical formula recognition system applied to a large scale of printed formula images, which has been developed in our laboratory. Our laboratory has collaborated with Michler of University of Essen, Germany, on project of "Retro-digitalization of mathematical journals, and their integration searchable digital libraries". In this project, two kinds of mathematical journals were scanned for digitalization. In this process, we cut out formulas manually from many pages, and created the answer database, "Ground-Truth." We report the results of performance evaluation with respect to the recognition of symbols, various types of sub-expressions and whole expressions of mathematical formulas.
Citation:
Kazuki Ashida, Masayuki Okamoto, Hiroki Imai, Tsubasa Nakatsuka, "Performance Evaluation of a Mathematical Formula Recognition System with a large scale of printed formula images," dial, pp.320-331, Second International Conference on Document Image Analysis for Libraries (DIAL'06), 2006
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