Presentation 2003/3/7
Detection and Segmantation of Touching Characters in Mathematical Expressions
Akihiro NOMURA, Kazuyuki MICHISHITA, Seiichi UCHIDA, MASAKAZU Suzuki,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) A technique for the detection and the segmentation of touching characters in mathematical expressions is presented. In the detection stage, a connected component initally recognized into some category is judged as a candidate of touched characters if its feature values deviate from the standard feature values of the category. In the segmentation stage, two component characters of the candidate are decided by the comparison with touching character images synthesized from two single character images. Experimental results showed the effectiveness on the accuracy improvement of the recognition of mathematical expressions.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Mathematical expression / character recognition / Touching character / Matching / OCR
Paper # PRMU2002-248
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Conference Information
Committee PRMU
Conference Date 2003/3/7(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) Detection and Segmantation of Touching Characters in Mathematical Expressions
Sub Title (in English)
Keyword(1) Mathematical expression
Keyword(2) character recognition
Keyword(3) Touching character
Keyword(4) Matching
Keyword(5) OCR
1st Author's Name Akihiro NOMURA
1st Author's Affiliation Graduate School of Mthematics()
2nd Author's Name Kazuyuki MICHISHITA
2nd Author's Affiliation Graduate School of Mthematics
3rd Author's Name Seiichi UCHIDA
3rd Author's Affiliation Faculty of Infomation Science and Electrical Engineering
4th Author's Name MASAKAZU Suzuki
4th Author's Affiliation Faculty of Infomation Science and Electrical Engineering
Date 2003/3/7
Paper # PRMU2002-248
Volume (vol) vol.102
Number (no) 708
Page pp.pp.-
#Pages 5
Date of Issue