Presentation 2004/6/11
Performance evaluation of on-line handwritten mathematical formula recognition systems
Kenichi TOYOZUMI, Naoya YAMADA, Takayuki KITASAKA, Kensaku MORI, Yasuhito SUENAGA, Kenji MASE, Tomoichi TAKAHASHI,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) We propose a new method for evaluating the performance of on-line handwritten mathematical formula recognition systems. The proposed method uses the number of interactive "error correction" operations required according to incorrect recognition of handwritings. When we input mathematical formulas into a computer using on-line handwriting recognition systems, errors may occur in three stages : (1) symbol segmentation, (2) symbol recognition, and (3) mathematical structure recognition. In general, it is not so simple to evaluate the performance of whole recognition system since the errors often depend on each other. In this paper, we present an intuitive and quantitative method for evaluating the whole recognition system by measuring the number of "error correction" operations to obtain correct formulas interactively based on incorrect recognition results.
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Keyword(in English) on-line recognition of handwritten mathematical formulas / performance evaluation / correction operation / tree structure
Paper # PRMU2004-38
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Conference Information
Committee PRMU
Conference Date 2004/6/11(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Performance evaluation of on-line handwritten mathematical formula recognition systems
Sub Title (in English)
Keyword(1) on-line recognition of handwritten mathematical formulas
Keyword(2) performance evaluation
Keyword(3) correction operation
Keyword(4) tree structure
1st Author's Name Kenichi TOYOZUMI
1st Author's Affiliation Graduate School of Information Science, Nagoya University()
2nd Author's Name Naoya YAMADA
2nd Author's Affiliation Graduate School of Information Science, Nagoya University:Canon Inc.
3rd Author's Name Takayuki KITASAKA
3rd Author's Affiliation Graduate School of Information Science, Nagoya University
4th Author's Name Kensaku MORI
4th Author's Affiliation Graduate School of Information Science, Nagoya University
5th Author's Name Yasuhito SUENAGA
5th Author's Affiliation Graduate School of Information Science, Nagoya University
6th Author's Name Kenji MASE
6th Author's Affiliation Graduate School of Information Science, Nagoya University
7th Author's Name Tomoichi TAKAHASHI
7th Author's Affiliation Faculty of Science and Technology, Meijo University
Date 2004/6/11
Paper # PRMU2004-38
Volume (vol) vol.104
Number (no) 125
Page pp.pp.-
#Pages 6
Date of Issue