Performance evaluation of a mathematical formula recognition system with a large scale of printed formula images

Author

Ashida, Kazuki ; Okamoto, Masayuki ; Ima, Hiroki ; Nakatsuka, Tsubasa

Author_Institution

Fac. of Econ., Shinshu Univ., Matsumoto

fYear

2006

fDate

27-28 April 2006

Lastpage

331

Abstract

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

Keywords

document image processing; image recognition; mathematics computing; Ground-Truth database; mathematical formula recognition system; mathematical journals; performance evaluation; printed formula images; symbol recognition; Collaboration; Databases; Image converters; Image recognition; Information analysis; Laboratories; Large-scale systems; Mathematics; Optical character recognition software; Performance analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Image Analysis for Libraries, 2006. DIAL '06. Second International Conference on

Conference_Location

Lyon

Print_ISBN

0-7695-2531-8

Type

conf

DOI

10.1109/DIAL.2006.30

Filename

1612974