Presentation 2001/12/8
Stroke Data Collection and Evaluation of Character Recognition Performance for our On-line Handwriting Mathematical Expression Input
Xiang Yang FENG, Keiichiro SHIIBA, Yasuhisa OKAZAKI, Masayoshi OKAMOTO, Hiroki KONDO,
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Abstract(in English) In this paper, we present the stroke data collection for on-line handwriting mathematical expression recognition, the customized recognition dictionaries that use these collected stoke data, and the evaluation experiment for character recognition performance. The stroke data collection interface is Java based. Up to now, we have collected 91 characters(digits, alphabets, Greek letters and some mathematical symbols)from 19 participants. Ftom the result of evaluation experiment, the recognition rate is 79% for all characters(symbols)and 90% for restricted characters (34 characters used in high school algebra).
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Keyword(in English) handwriting / mathematical expression recognition / character recognition / on-line / stroke
Paper # ET2001-71
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Committee ET
Conference Date 2001/12/8(1days)
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Registration To Educational Technology (ET)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Stroke Data Collection and Evaluation of Character Recognition Performance for our On-line Handwriting Mathematical Expression Input
Sub Title (in English)
Keyword(1) handwriting
Keyword(2) mathematical expression recognition
Keyword(3) character recognition
Keyword(4) on-line
Keyword(5) stroke
1st Author's Name Xiang Yang FENG
1st Author's Affiliation Science and Engineering Course of Graduate Schools, Saga University()
2nd Author's Name Keiichiro SHIIBA
2nd Author's Affiliation Science and Engineering Course of Graduate Schools, Saga University
3rd Author's Name Yasuhisa OKAZAKI
3rd Author's Affiliation Faculty of Science and Engineering, Saga University
4th Author's Name Masayoshi OKAMOTO
4th Author's Affiliation SANYO Electric Co.Ltd.Multimedia Company Video Imaging Systems Division
5th Author's Name Hiroki KONDO
5th Author's Affiliation Faculty of Science and Engineering, Saga University
Date 2001/12/8
Paper # ET2001-71
Volume (vol) vol.101
Number (no) 506
Page pp.pp.-
#Pages 6
Date of Issue