Presentation 2001/1/12
Segmentation method for touching handwritten characters based on connecting condition of neighbor lines
Teruyuki YAMAGUCHI, Tomohiro YOSHIKAWA, Tsuyoshi SHINOGI, Shinji TSURUOKA,
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Abstract(in English) Recently the accuracy of isolated character recognition is improving. In the unconstrained handwritten character string, there are many touching characters, and the segmentation of the touching characters is required as preprocessing of isolated character recognition. But conventional segmentation methods using vertical lines can't segment complicated touching. In this paper, we propose a new segmentation method based on connecting condition of neighbor lines, and evaluated the efficiency of this method for real mail address in Japanese.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) touching characters / character recognition / pre-segmentation / over segmentation
Paper # PRMU2000-178
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Conference Information
Committee PRMU
Conference Date 2001/1/12(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) Segmentation method for touching handwritten characters based on connecting condition of neighbor lines
Sub Title (in English)
Keyword(1) touching characters
Keyword(2) character recognition
Keyword(3) pre-segmentation
Keyword(4) over segmentation
1st Author's Name Teruyuki YAMAGUCHI
1st Author's Affiliation Department of Electrical and Electronic Engineering Faculty of Engineering, Mie University()
2nd Author's Name Tomohiro YOSHIKAWA
2nd Author's Affiliation Department of Electrical and Electronic Engineering Faculty of Engineering, Mie University
3rd Author's Name Tsuyoshi SHINOGI
3rd Author's Affiliation Department of Electrical and Electronic Engineering Faculty of Engineering, Mie University
4th Author's Name Shinji TSURUOKA
4th Author's Affiliation Department of Electrical and Electronic Engineering Faculty of Engineering, Mie University
Date 2001/1/12
Paper # PRMU2000-178
Volume (vol) vol.100
Number (no) 566
Page pp.pp.-
#Pages 6
Date of Issue